MS/Art8/2018/D8/France/NE Atlantic: Greater North Sea — Marine Information System for Europe

Member State report / Art8 / 2018 / D8 / France / NE Atlantic: Greater North Sea

Report type	Member State report to Commission
MSFD Article	Art. 8 Initial assessment (and Art. 17 updates)
Report due	2018-10-15
GES Descriptor	D8 Contaminants
Member State	France
Region/subregion	NE Atlantic: Greater North Sea
Reported by	Ministère de la transition Ecologique et Solidaire
Report date	2020-02-19
Report access	ART8_GES_FR_2020-02-17.xml

UMR Baie de Seine (ANS-FR-MS-MMN-SEINE)

Simplified table

GES component	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8
Feature	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species	Marine species
Element	Limanda limanda	Limanda limanda	Limanda limanda	Limanda limanda	Limanda limanda	Mytilus edulis	Mytilus edulis	Mytilus edulis	Mytilus edulis	Platichthys flesus	Platichthys flesus	Platichthys flesus	Platichthys flesus	Platichthys flesus	Platichthys flesus	Platichthys flesus
Element code	127139	127139	127139	127139	127139	140480	140480	140480	140480	127141	127141	127141	127141	127141	127141	127141
Element code source	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/
Element 2
Element 2 code
Element 2 code source
Element source	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National
Criterion	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2	D8C2
Parameter	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other
Parameter other	Biliary concentration of PAH metabolites	DNA Adducts	EROD induction	Inhibition of acetylcholinesterase (AChE)	Micronuclei test	Inhibition of acetylcholinesterase (AChE)	Lysosomal membrane stability (LMS)	Micronuclei test	Test Stress On Stress (SOS)	Biliary concentration of PAH metabolites	Comet test	DNA Adducts	EROD induction	Inhibition of acetylcholinesterase (AChE)	Micronuclei test	Vitellogenin concentration (VTG)
Threshold value upper		6.0		105.0		21.0	50.0		5.0			6.0		165.0
Threshold value lower
Threshold qualitative	On a per-station basis, the parameter is achieved if the concentration of OH-pyrene is below the EAC for fish set at 483 ng/g bile, and the concentration of OH-phenanthrene is below the EAC for fish set at 528 ng/g bile.		In the absence of a threshold for the parameter "EROD induction", the value reached per station is compared to the BAC threshold for the common dab(178 pmol/min/mg prot). This does not qualify the attainment of the parameter but suggests a potential toxic effect.		In the absence of a threshold for the "micronucleus test" parameter, the value reached per station is compared to the BAC threshold set at 0.5 ‰. This is not conclusive as to whether or not the parameter is reached, but suggests a potential toxic effect.			In the absence of a threshold for the "micronucleus test" parameter, the value reached per station is compared to a BAC threshold set at 2.5 ‰. This does not conclude whether or not the parameter has been reached, but suggests a potential toxic effect.		On a per-station basis, the parameter is achieved if the concentration of OH-pyrene is below the EAC for fish set at 483 ng/g bile, and the concentration of OH-phenanthrene is below the EAC for fish set at 528 ng/g bile.	In the absence of a threshold for the "comet test" parameter, the value reached per station is compared to the BAC threshold established at 5% DNA tail for the European flounder. This does not qualify whether or not the parameter has been reached, but suggests a potential toxic effect.		In the absence of a threshold for the "EROD induction" parameter, the value reached per station is compared to the BAC threshold for the European flounder (24 pmol/min/mg prot). This does not qualify whether or not the parameter has been reached, but suggests a potential toxic effect.		In the absence of a threshold for the "micronucleus test" parameter, the value reached per station is compared to the BAC threshold established for the European flounder at 0.0-0.3 ‰. This does not qualify whether or not the parameter is reached, but suggests a potential toxic effect.	In the absence of a threshold for the parameter "Vitellogenin concentration (VTG)", the value reached per station is compared to the BAC threshold for the flounder (0.13 µg/mL). This does not qualify the attainment of the parameter, but suggests a potential toxic effect.
Threshold value source	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention
Threshold value source other
Value achieved upper		1.09	37.82	459.95	1.43	151.79	90.0	0.66	14.0		35.78	0.88	19.71	580.88	1.5	24210.0
Value achieved lower		0.47	26.64	362.03	1.09	83.07	52.75	0.41	7.0		27.74	0.38	14.32	430.67		9734.0
Value unit	Other	Other	Other	Other	Other	Other	Other	Other	days	Other	Other	Other	Other	Other	Other	Other
Value unit other	ng/g bile	nmol adducts/mol DNA	pmol/min/mg prot	nmol/min/mg prot	‰	nmol/min/mg prot	min	‰		ng/g bile	% DNA tail	nmol adducts/mol DNA	pmol/min/mg prot	nmol/min/mg prot	‰	µg/mL
Proportion threshold value
Proportion value achieved	100.0	100.0		100.0		100.0	100.0		100.0	100.0		100.0		100.0
Proportion threshold value unit	% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value		% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value		% of stations achieving threshold value
Trend	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Parameter achieved	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description parameter	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold for the percentage of stations for which dab (Limanda limanda) reaches good status does not allow to conclude on whether or not the evaluated parameter has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold for the percentage of stations for which dab (Limanda limanda) reaches good status does not allow to conclude on whether or not the evaluated parameter has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the average of the percentiles of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the parameter relating to EROD induction indicates a value below the BAC-type threshold value for the two sampled stations. In the absence of a quantitative threshold of good status, no conclusion on whether or not the parameter assessed in the common dab (Limanda limanda) was achieved.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold for the percentage of stations for which dab (Limanda limanda) reaches good status does not allow to conclude on whether or not the evaluated parameter has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the micronucleus test parameter indicates a value 2 to 3 times higher than the BAC-type threshold value for the two sampled stations, suggesting a potential genotoxic effect. In the absence of a quantitative threshold of good status, no conclusion on whether or not the parameter assessed in flounder (Limanda limanda) was achieved.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected, 3 or 4 available years: the mean of the 95 percentiles of the individual values measured in each available year, 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the three stations monitored for the parameter in question. The absence of a threshold at the level of the percentage of stations for which the mussel (Mytilus edulis) reaches the good state does not make it possible to conclude whether or not the parameter evaluated has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold at the level of the percentage of stations for which the mussel (Mytilus edulis) reaches the good state does not make it possible to conclude whether or not the parameter evaluated has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected, 3 or 4 available years: the mean of the percentiles of the individual values measured in each available year, 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the parameter relating to the micronucleus test indicates a value 5 times lower than the BAC-type threshold value for the two sampled stations. In the absence of a quantitative threshold of good condition, no conclusion on whether or not the parameter assessed in the mussel (Mytilus edulis) could be reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the three stations monitored for the parameter in question. The absence of a threshold at the level of the percentage of stations for which the mussel (Mytilus edulis) reaches the good state does not make it possible to conclude whether or not the parameter evaluated has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold at the level of the percentage of stations for which the flounder (Platichthys flesus) reaches the good state does not make it possible to conclude on whether or not the parameter evaluated has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the parameter for the comet test indicates a value higher than the BAC-type threshold value for both sampled stations, suggesting a potential genotoxic effect. In the absence of a quantitative threshold of good status, no conclusion on whether or not the parameter assessed in flounder (Platichthys flesus) was achieved.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold at the level of the percentage of stations for which the flounder (Platichthys flesus) reaches the good state does not make it possible to conclude on whether or not the parameter evaluated has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the EROD induction parameter indicates a value below the BAC threshold value for both sampled stations. In the absence of a quantitative threshold of good status, no conclusion on whether or not the parameter assessed in flounder (Platichthys flesus) was achieved.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the average of the percentiles of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that no exceedance of the threshold is observed at the two stations monitored for the parameter in question. The absence of a threshold at the level of the percentage of stations for which the flounder (Platichthys flesus) reaches the good state does not make it possible to conclude on whether or not the parameter evaluated has been reached.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the mean of the 95 percentile values of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the micronucleus test parameter indicates a value 5 times higher than the BAC-type threshold value for the only sampled station, suggesting a potential genotoxic effect. In the absence of a quantitative threshold of good status, no conclusion on whether or not the parameter assessed in flounder (Platichthys flesus) was achieved.	For each monitored station, the 95 percentile of the data for the ecotoxicological endpoint under consideration was calculated for each available year. A "State" metric is then defined for each station according to the number of years for which data were available: 5 available years: a linear regression is performed and the 95 percentile value of the individual values measured in the last year is selected - 3 or 4 available years: the average of the percentiles of the individual values measured in each available year - 1 or 2 available years: the maximum value of the available years. The "Status" metric obtained for the ecotoxicological endpoint under consideration is compared with the available threshold. The results show that the parameter relating to the vitellogenin concentration (VTG) indicates a value higher than the BAC-type threshold value for the two sampled stations, suggesting a potential reprotoxic effect. In the absence of a quantitative threshold of good condition, no conclusion on whether the parameter assessed in flounder (Platichthys flesus) was reached could be made.
Related indicator	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des bivalves	Etat de santé des bivalves	Etat de santé des bivalves	Etat de santé des bivalves	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons	Etat de santé des poissons
Criteria status	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description criteria	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .	The absence of a conclusion on whether or not the parameters assessed have been met does not allow a conclusion to be drawn on the status of criterion D8C2. Furthermore, no rules are currently defined to integrate the different ecotoxicological endpoints considered .
Element status	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description element	For the common dab, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels reached in the micronucleus test suggest potential genotoxic alterations in the Baie de Seine for this species.	For the common dab, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels reached in the micronucleus test suggest potential genotoxic alterations in the Baie de Seine for this species.	For the common dab, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels reached in the micronucleus test suggest potential genotoxic alterations in the Baie de Seine for this species.	For the common dab, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels reached in the micronucleus test suggest potential genotoxic alterations in the Baie de Seine for this species.	For the common dab, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels reached in the micronucleus test suggest potential genotoxic alterations in the Baie de Seine for this species.	No threshold exceedances were found in mussels in the Baie de Seine for parameters relating to general stress, metabolic stress and genotoxicity.	No threshold exceedances were found in mussels in the Baie de Seine for parameters relating to general stress, metabolic stress and genotoxicity.	No threshold exceedances were found in mussels in the Baie de Seine for parameters relating to general stress, metabolic stress and genotoxicity.	No threshold exceedances were found in mussels in the Baie de Seine for parameters relating to general stress, metabolic stress and genotoxicity.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.	For flounder, no threshold exceedances were observed for four endpoints covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other endpoints suggest potential genotoxic and reprotoxic effects for flounder in the Baie de Seine.
Integration rule type parameter	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant
Integration rule description parameter
Integration rule type criteria	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other
Integration rule description criteria	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined
GES extent threshold
GES extent achieved
GES extent unit
GES achieved	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant
Description overall status	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.	The assessment of criterion D8C2 was conducted for gastropods, mussels and fish. For this MRU, monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 41% of the stations assessed. Threshold exceedances were observed for all the stations located at the outlet of the Seine estuary and for one station at the outlet of the port of Cherbourg. However, no temporal increase was observed. Furthermore, no threshold exceedances were observed in mussels in the Baie de Seine for indicators related to general stress, metabolic stress and genotoxicity. For the fish monitored, flounder and flounder, no threshold exceedance was observed for four parameters covering markers of PAH exposure, metabolic stress and genotoxicity. However, the levels attained by other parameters, for which it was not possible to assess whether or not good condition had been reached, suggest potential genotoxic alterations in the Baie de Seine for these two species and a potential reprotoxic effect for flounder. The evaluation of criterion D8C4 was carried out using the EcoQO indicator "oiled birds" which is based on the percentage of stranded murres bearing external traces of oil. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not allow a robust assessment of this indicator.
Assessments period	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012	2008-2012
Related pressures
Related targets

CNte SRM MMN (12 M) (ANS-FR-MS-MMN-ZC12M)

Simplified table

GES component	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8
Feature	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Marine species	Marine species
Element	Anthracene	Anthracene	Benz(a)anthracene	Benz(a)anthracene	Cadmium and its compounds	Cadmium and its compounds	Chromium and its compounds	Chromium and its compounds	Copper and its compounds	Copper and its compounds	Dieldrin	Fluoranthene	Fluoranthene	Gamma-HCH (Lindane)	Gamma-HCH (Lindane)	Hexachlorobenzene	Lead and its compounds	Lead and its compounds	Naphthalene	Naphthalene	Nickel and its compounds	Nickel and its compounds	PCB 101 (2,2’,4,5,5’-pentachlorobiphenyl)	PCB 101 (2,2’,4,5,5’-pentachlorobiphenyl)	PCB 138 (2,2’,3,4,4’,5’-hexachlorobiphenyl)	PCB 138 (2,2’,3,4,4’,5’-hexachlorobiphenyl)	PCB 153 (2,2’,4,4’,5,5’-hexachlorobiphenyl)	PCB 153 (2,2’,4,4’,5,5’-hexachlorobiphenyl)	PCB 180 (2,2’,3,4,4’,5,5’-heptachlorobiphenyl)	PCB 180 (2,2’,3,4,4’,5,5’-heptachlorobiphenyl)	PCB 28 (2,4,4’-trichlorobiphenyl)	PCB 28 (2,4,4’-trichlorobiphenyl)	PCB 52 (2,2’,5,5’-tetrachlorobiphenyl)	PCB 52 (2,2’,5,5’-tetrachlorobiphenyl)	Phenanthrene	Phenanthrene	Pyrene	Pyrene	Zinc and its compounds	Zinc and its compounds	p,p′-DDE	p,p′-DDE	Benzo(a)pyrene	Benzo(a)pyrene	Benzo(g,h,i)perylene	Benzo(g,h,i)perylene	Benzo(k)fluoranthene	Dioxins and dioxin-like compounds (7 PCDDs + 10 PCDFs + 12 PCB-DLs)	Indeno(1,2,3-cd)pyrene	Indeno(1,2,3-cd)pyrene	Mercury and its compounds	Mercury and its compounds	PCB 118 (2,3’,4,4’,5-pentachlorobiphenyl)	PCB 118 (2,3’,4,4’,5-pentachlorobiphenyl)	Tributyltin-cation	Nucella lapillus	Uria aalge
Element code	CAS_120-12-7	CAS_120-12-7	CAS_56-55-3	CAS_56-55-3	CAS_7440-43-9	CAS_7440-43-9	CAS_7440-47-3	CAS_7440-47-3	CAS_7440-50-8	CAS_7440-50-8	CAS_60-57-1	CAS_206-44-0	CAS_206-44-0	CAS_58-89-9	CAS_58-89-9	CAS_118-74-1	CAS_7439-92-1	CAS_7439-92-1	CAS_91-20-3	CAS_91-20-3	CAS_7440-02-0	CAS_7440-02-0	CAS_37680-73-2	CAS_37680-73-2	CAS_35065-28-2	CAS_35065-28-2	CAS_35065-27-1	CAS_35065-27-1	CAS_35065-29-3	CAS_35065-29-3	CAS_7012-37-5	CAS_7012-37-5	CAS_35693-99-3	CAS_35693-99-3	CAS_85-01-8	CAS_85-01-8	CAS_129-00-0	CAS_129-00-0	CAS_7440-66-6	CAS_7440-66-6	CAS_72-55-9	CAS_72-55-9	CAS_50-32-8	CAS_50-32-8	CAS_191-24-2	CAS_191-24-2	CAS_207-08-9	EEA_33-58-9	CAS_193-39-5	CAS_193-39-5	CAS_7439-97-6	CAS_7439-97-6	CAS_31508-00-6	CAS_31508-00-6	CAS_36643-28-4	140403	137133
Element code source	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Species (D1) http://www.marinespecies.org/	Species (D1) http://www.marinespecies.org/
Element 2
Element 2 code
Element 2 code source
Element source	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National	National
Criterion	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C2	D8C4
Parameter	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Concentration in sediment	Concentration in biota	Other	Other
Parameter other																																																								Imposex	Occurrence
Threshold value upper	290.0	85.0	80.0	261.0		1200.0		81000.0		34000.0	5.0	110.0	600.0	1.45	3.0	20.0		47000.0	340.0	160.0		21000.0		3.0		7.9		40.0		12.0		1.7		2.7	1700.0	240.0	100.0	665.0		150000.0	5.0	2.2		430.0	110.0	85.0	260.0	0.04		240.0		150.0		0.6	4.9	2.0	10.0
Threshold value lower
Threshold qualitative	On a site-specific basis, the parameter is achieved if the anthracene concentration is below the environmental assessment threshold (EAC) for bivalve molluscs (290 µg/kg dw) and does not increase significantly over time.		On a site-specific basis, the parameter is achieved if the concentration of benz(a)anthracene is below the environmental assessment threshold (EAC) for bivalve molluscs (80 µg/kg dw) and does not increase significantly over time.		Per station, the parameter is reached if the concentration is below the health-based threshold (EC) for bivalve molluscs (Crassostrea gigas = 5263 µg/kg dw, Mytilus edulis = 5882 µg/kg dw) and does not increase significantly over time.		In the absence of a threshold value for chromium, the parameter is not reached at the plant if the concentration increases significantly over time. If the trend is stable or negative, no conclusion is reached.		In the absence of a threshold value for copper, the parameter is not reached at the station if the concentration increases significantly over time. If the trend is stable or negative, no conclusion is reached.		Per station, the parameter is reached if the concentration of dieldrin is below the environmental assessment threshold (EAC) for bivalve molluscs (5 µg/kg dw) and does not increase significantly over time.	Per station, the parameter is achieved if the fluoranthene concentration is below the environmental assessment threshold (EAC) for bivalve molluscs (110 µg/kg dw) and does not increase significantly over time.		On a site-specific basis, the parameter is achieved if the lindane concentration is below the environmental assessment threshold (EAC) for bivalve molluscs (1.45 µg/kg dw) and does not increase significantly over time.			Par station, le paramètre est atteint si la concentration est inférieure au seuil sanitaire (EC) pour les mollusques bivalves (Crassostrea gigas = 7895 µg/kg dw et Mytilus edulis = 8824 µg/kg dw) et n'augmente pas significativement dans le temps.		Per station, the parameter is achieved if the naphthalene concentration is below the environmental assessment threshold (EAC) for bivalve molluscs (340 µg/kg dw) and does not increase significantly over time.		In the absence of a threshold value for nickel, the parameter is not reached at the station if the concentration increases significantly over time. If the trend is stable or negative, no conclusion is reached.		Par station, le paramètre est atteint si la concentration en CB 101 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 11,46 µg/kg dw,Mytilus edulis = 9,25 µg/kg dw) et n'augmente pas significativement dans le temps.		Par station, le paramètre est atteint si la concentration en CB 138 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 30,03 µg/kg dw, Mytilus edulis = 24,24 µg/kg dw) et n'augmente pas significativement dans le temps.		Par station, le paramètre est atteint si la concentration en CB 153 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 150,16 µg/kg dw, Mytilus edulis = 121,21 µg/kg dw) et n'augmente pas significativement dans le temps.		Par station, le paramètre est atteint si la concentration en CB 180 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 44,43 µg/kg dw, Mytilus edulis = 35,86 µg/kg dw) et n'augmente pas significativement dans le temps.		Par station, le paramètre est atteint si la concentration en CB 28 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 6,35 µg/kg dw, Mytilus edulis = 5,12 µg/kg dw) et n'augmente pas significativement dans le temps.		Par station, le paramètre est atteint si la concentration en CB 52 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 10,23 µg/kg dw et Mytilus edulis = 8,26 µg/kg dw) et n'augmente pas significativement dans le temps.		On a per-site basis, the parameter is achieved if the concentration of phenanthrene is below the environmental assessment threshold (EAC) for bivalve molluscs (1700 µg/kg dw) and does not increase significantly over time.		Per station, the parameter is achieved if the concentration of pyrene is below the environmental assessment threshold (EAC) for bivalve molluscs (100 µg/kg dw) and does not increase significantly over time.		In the absence of a threshold value for zinc, the parameter is not reached at the station if the concentration increases significantly over time. If the trend is stable or negative, no conclusion is reached.		On a site-specific basis, the parameter is achieved if the concentration of p,p'-DDE is below the environmental assessment threshold (EAC) for bivalve molluscs (5 µg/kg dw) and does not increase significantly over time.		Par station, le paramètre est atteint si la concentration est inférieure à la Norme de Qualtité Environnementale (NQE) pour le biote (Crassostrea gigas= 26,32 µg/kg dw, Mytilus edulis= 29,41 µg/kg dw) et n'augmente pas significativement dans le temps		On a site-specific basis, the endpoint is achieved if the concentration of benzo(g,h,i)perylene is below the environmental assessment threshold (EAC) for bivalve molluscs (110 µg/kg dw) and does not increase significantly over time.		Per station, the parameter is achieved if the concentration of benzo(k)fluoranthene is below the environmental assessment threshold (EAC) for bivalve molluscs (260 µg/kg dw) and does not increase significantly over time.	Par station, le paramètre est atteint si la concentration en Dioxines et composés DL est inférieure à la Norme de Qualtité Environnementale (NQE) pour le biote (Mytilus edulis = 0,04 µg/kg dw TEQ) et n'augmente pas significativement dans le temps.	In the absence of a threshold value for indeno(1,2,3-cd)pyrene, the parameter is not reached at the plant if the concentration increases significantly over time. If the trend is stable or negative, no conclusion is reached.		Par station, le paramètre est atteint si la concentration est inférieure au seuil sanitaire (EC) pour les mollusques bivalves (Crassostrea gigas = 2632 µg/kg dw et Mytilus edulis = 2941 µg/kg dw) et n'augmente pas significativement dans le temps.		Par station, le paramètre est atteint si la concentration en CB 118 est inférieure au seuil EAC pour les mollusques bivalves (Crassostrea gigas = 2,37 µg/kg dw, Mytilus edulis = 1,91 µg/kg dw) et n'augmente pas significativement dans le temps.		On a per-site basis, the parameter is achieved if the TBT concentration is below the environmental assessment threshold (EAC) for bivalve molluscs (4.9 µg/kg dw) and does not increase significantly over time.	Par station, le paramètre est atteint si la valeur de VDSI (Vas Deferens Sequence Index) est inférieure au seuil d'évaluation environnementale (EAC) pour la nucelle (EAC_VDSI = 2) et le VDSI n'augmente pas significativement dans le temps.
Threshold value source	OSPAR Convention	Other (specify)	OSPAR Convention	Other (specify)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Other (specify)	Other (specify)	Other (specify)	Other (specify)	Other (specify)	OSPAR Convention	OSPAR Convention	Other (specify)	OSPAR Convention	Other (specify)	Other (specify)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Other (specify)	OSPAR Convention	Other (specify)	Other (specify)	Other (specify)	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	Other (specify)	OSPAR Convention	Other (specify)	Other (specify)	Other (specify)	OSPAR Convention	Other (specify)	Water Framework Directive (2000/60/EC)	Other (specify)	OSPAR Convention	Other (specify)	OSPAR Convention	Water Framework Directive (2000/60/EC)	Other (specify)	Other (specify)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Other (specify)	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention
Threshold value source other		United States Environmental Protection Agency		United States Environmental Protection Agency		United States Environmental Protection Agency	National	United States Environmental Protection Agency	National	United States Environmental Protection Agency			United States Environmental Protection Agency		United States Environmental Protection Agency	United States Environmental Protection Agency		United States Environmental Protection Agency		United States Environmental Protection Agency	National	United States Environmental Protection Agency														United States Environmental Protection Agency		United States Environmental Protection Agency	National	United States Environmental Protection Agency		United States Environmental Protection Agency		United States Environmental Protection Agency		United States Environmental Protection Agency			National	United States Environmental Protection Agency		United States Environmental Protection Agency
Value achieved upper	14.92	313.94	60.2	933.17	1909.0	913.88	9623.0	287824.0	169292.0	63146.0	2.0	127.82	1995.0	2.0	2.84	6.69	4552.0	191616.0	62.11	61.22	13156.0	78155.0	375.36	6.56	300.5	9.6	496.23	10.49	55.49	3.96	61.3	1.59	253.93	3.75	44.03	858.17	74.11	1656.0	3047349.0	447363.0	3.34	1.47	37.18	770.67	40.44	460.1	58.55	0.1	33.89	402.5	535.67	905.03	188.89	5.8	50.69	3.784	10.0
Value achieved lower	1.0	1.93	1.78	3.97	306.16	50.0	1993.0	62482.0	5451.0	14674.0	1.5	6.8	3.97	0.58	0.44	0.1	595.07	1559.0	5.0	4.07	1433.0	23355.0	1.15	0.2	1.2	0.2	3.01	0.2	0.25	0.2	0.12	0.18	0.45	0.18	4.71	2.34	4.86	3.97	46443.0	47863.0	0.16	0.18	2.89	3.97	5.0	7.94	1.88	0.01	5.0	7.94	51.95	100.2	0.94	0.2	2.0	0.251
Value unit	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	Other	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	microgram per kilogram of dry weight	Other	Other
Value unit other																																																ug/kg dw TEQ								VDSI	% oiled stranded ind
Proportion threshold value
Proportion value achieved	100.0	91.3	100.0	94.2	100.0	92.5		15.0		65.0	100.0	95.0	97.1	80.0	100.0	100.0	100.0	52.5	100.0	100.0			60.0	85.51	65.0	94.2	86.0	100.0	95.0	100.0	95.0	100.0	76.0	97.1	95.0	91.3	95.0	97.1		42.5	100.0	100.0	95.0	97.1	95.0	68.12	100.0	83.0		95.65	100.0	37.5	30.0	14.81	45.0	59.0
Proportion threshold value unit	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value		% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value		% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value	% of stations achieving threshold value
Trend	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Parameter achieved	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description parameter	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 21Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 63Number of stations for which the contaminant does not reach good status: 6The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 21Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 65Number of stations for which the contaminant does not reach good status: 4The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 23Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches the good status: 37Number of stations for which the contaminant does not reach the good status: 3The absence of a threshold at the level of the percentage of stations for which the contaminant reaches the good status does not make it possible to conclude whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A "Trend" metric for the period 2010-2015 was also defined for each station where the time series of concentration data allowed for trend analysis (i.e. a time series of at least 5 years). No thresholds are currently available for chromium concentrations. Therefore, only the metric "Trend" is analysed for this contaminant. Number of stations for which the contaminant does not reach good status: 3Number of stations for which no conclusion on whether or not the good status of the contaminant has been reached (stable or negative trend): 10The absence of a threshold for the number of stations for which the contaminant does not reach good status does not allow to conclude on the non-achievement of the parameter evaluated. It should be noted that for chromium, this parameter can only be used to assess failure to achieve good status (absence of threshold concentration value not to be exceeded).	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches the good status: 6Number of stations for which the contaminant does not reach the good status: 34 The absence of a threshold at the level of the percentage of stations for which the contaminant reaches the good status does not make it possible to conclude whether or not the evaluated parameter has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A "Trend" metric for the period 2010-2015 was also defined for each station where the time series of concentration data allowed for trend analysis (i.e. a time series of at least 5 years). No thresholds are currently available for copper concentrations. Therefore, only the metric "Trend" is analysed for this contaminant. Number of stations for which the contaminant does not reach good status: 0Number of stations for which no conclusion on whether or not the contaminant reaches good status could be reached (stable or negative trend): 20The absence of a threshold for the number of stations for which the contaminant does not reach good status does not allow to conclude on the non-achievement of the parameter evaluated. It should be noted that for copper, this parameter can only be used to assess failure to achieve good status (absence of a threshold value for the concentration not to be exceeded).	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches the good status: 26Number of stations for which the contaminant does not reach the good status: 14The absence of a threshold at the level of the percentage of stations for which the contaminant reaches the good status does not make it possible to conclude whether or not the evaluated parameter has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 67Number of stations for which the contaminant does not reach good status: 2The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 16Number of stations for which the contaminant does not reach good status: 4The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 62Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 69Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 23Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches the good status: 21Number of stations for which the contaminant does not reach the good status: 19The absence of a threshold at the level of the percentage of stations for which the contaminant reaches the good status does not make it possible to conclude whether or not the evaluated parameter has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 69Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A "Trend" metric for the period 2010-2015 was also defined for each station where the time series of concentration data allowed for trend analysis (i.e. a time series of at least 5 years). No thresholds are currently available for nickel concentrations. Therefore, only the metric "Trend" is analysed for this contaminant. Number of stations for which the contaminant does not reach good status: 5Number of stations for which no conclusion on whether or not the good status of the contaminant has been reached (stable or negative trend): 15The absence of a threshold for the number of stations for which the contaminant does not reach good status does not make it possible to conclude on the non-achievement of the parameter evaluated. It should be noted that for nickel, this parameter can only be used to assess failure to achieve good status (absence of threshold concentration value not to be exceeded).	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 0Number of stations for which the contaminant does not reach good status: 40The absence of a threshold in the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 12Number of stations for which the contaminant does not reach good status: 8The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the environmental assessment thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations for which the contaminant reaches good status: 59Number of stations for which the contaminant does not reach good status: 10 The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 14Number of stations for which the contaminant does not reach good status: 7The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the environmental assessment thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations for which the contaminant reaches good status: 65Number of stations for which the contaminant does not reach good status: 4The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 18Number of stations for which the contaminant does not reach good status: 3The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the Environmental Assessment Thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations where the contaminant reaches good status: 69 Number of stations where the contaminant does not reach good status: 0 The absence of a threshold for the percentage of stations where the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 19Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the Environmental Assessment Thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations where the contaminant reaches good status: 69Number of stations where the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations where the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the Environmental Assessment Thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations where the contaminant reaches good status: 69Number of stations where the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations where the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 16Number of stations for which the contaminant does not reach good status: 5The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the environmental assessment thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations for which the contaminant reaches good status: 67Number of stations for which the contaminant does not reach good status: 2 The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 63Number of stations for which the contaminant does not reach good status: 6The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 67Number of stations for which the contaminant does not reach good status: 2The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A "Trend" metric for the period 2010-2015 was also defined for each station where the time series of concentration data allowed for trend analysis (i.e. a time series of at least 5 years). No thresholds are currently available for zinc concentrations. Therefore, only the metric "Trend" is analysed for this contaminant. Number of stations for which the contaminant does not reach good status: 2Number of stations for which no conclusion on whether or not the contaminant reaches good status could be reached (stable or negative trend): 18The absence of a threshold for the number of stations for which the contaminant does not reach good status does not allow to conclude on the non-achievement of the parameter evaluated. It should be noted that for zinc, this parameter can only be used to assess failure to achieve good status (absence of a threshold value for the concentration not to be exceeded).	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 17Number of stations for which the contaminant does not reach good status: 23The absence of a threshold in the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 69Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow to conclude on the achievement or not of the parameter evaluated.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 67Number of stations for which the contaminant does not reach good status: 2The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 20Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 47Number of stations for which the contaminant does not reach good status: 22 The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 21Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 5Number of stations for which the contaminant does not reach good status: 1The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A "Trend" metric for the period 2010-2015 was also defined for each station where the time series of concentration data allowed for trend analysis (i.e. a time series of at least 5 years). No threshold is currently available for Indeno(1,2,3-cd)pyrene concentrations. Therefore, only the metric "Trend" is analysed for this contaminant. Number of stations for which the contaminant does not reach the good status: 2Number of stations for which no conclusion on whether or not the good status of the contaminant has been reached (stable or negative trend): 10The absence of a threshold for the number of stations for which the contaminant does not reach the good status does not make it possible to conclude on the non-achievement of the parameter evaluated. It should be noted that for indeno(1,2,3-cd)pyrene, this parameter can only be used to assess failure to achieve good status (absence of threshold concentration value not to be exceeded).	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches good status: 66Number of stations for which the contaminant does not reach good status: 3The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 23Number of stations for which the contaminant does not reach good status: 0The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html) and integrating reference data acquired at national level (e.g. pivot value). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment are the Effects Range Low (ERL) developed by the United States Environmental Protection Agency (US-EPA) Number of stations for which the contaminant reaches the good status: 15Number of stations for which the contaminant does not reach the good status: 25The absence of a threshold at the level of the percentage of stations for which the contaminant reaches the good status does not make it possible to conclude whether or not the evaluated parameter has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 6Number of stations for which the contaminant does not reach good status: 14 The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station monitored: comparison of the threshold with the standardised concentration of the contaminant using a statistical approach derived from that developed by OSPAR (http://dome.ices.dk/OSPARMIME2016/help_methods_sediment_metals.html). Note that only one sediment value per substance*station pair is available every six years, i.e. between 2010 and 2015. The thresholds considered in the sediment for PCBs are the environmental assessment thresholds (EAC) developed under the OSPAR Regional Seas Convention. Number of stations for which the contaminant reaches good status: 8Number of stations for which the contaminant does not reach good status: 46 The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	Based on the available concentration data sets per station, a "State" metric (concentration of the substance under consideration) is defined according to different statistical models. The method used to calculate the "State" metric is an adapted version of the method used in OSPAR assessments (http://dome.ices.dk/osparmime/help_methods_biota_metals.html and http://dome.ices.dk/osparmime/help_methods_less_thans.html). A trend metric over the period 2010-2015 was also defined for each station where the time series of concentration data allowed a trend analysis (i.e. a time series of at least 5 years). Number of stations for which the contaminant reaches good status: 9Number of stations for which the contaminant does not reach good status: 11The absence of a threshold for the percentage of stations for which the contaminant reaches good status does not allow conclusions to be drawn on whether or not the parameter being assessed has been reached.	For each station: application of the OSPAR method (http://dome.ices.dk/osparmime/help_methods_biota_imposex.html) based on the calculation of an annual VDS (Vas Deferens Sequence Index). A "Trend" metric was also defined for each station when the time series of concentration data allowed a trend analysis (i.e. time series of at least 3 years). Number of stations for which the nucella (Nucella lapillus) reaches good status: 10Number of stations for which the nucella (Nucella lapillus) does not reach good status: 7The absence of a threshold for the percentage of stations for which the nucella reaches good status does not allow conclusions to be drawn on whether or not the parameter evaluated has been reached.	The calculation of the "incidence" parameter for the "OSPAR EcoQO oiled guillemots" monitoring is the ratio between the number of oiled guillemots and the total number of stranded guillemots for each winter over a 5-year period. The threshold, set in the definition of the EcoQO standard, is established at 10% of oiled birds in relation to the total number of stranded birds over a 5-year period. Overall, the results of the "incidence" parameter show that the threshold has been exceeded over the period evaluated. However, the high variability in the number of stranded birds combined with the impact of exceptional climatic events during the period evaluated makes the interpretation of the results complex and does not make it possible to conclude whether or not the parameter has been reached.
Related indicator	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en pesticides chez les bivalves	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en pesticides chez les bivalves	Concentration en pesticides dans le sédiment	Concentration en pesticides dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en pesticides chez les bivalves	Concentration en pesticides dans le sédiment	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en HAP chez les bivalves	Concentration en dioxines - PCB-DL chez les bivalves	Concentration en HAP chez les bivalves	Concentration en HAP dans le sédiment	Concentration en métaux chez les bivalves	Concentration en métaux dans le sédiment	Concentration en PCB chez les bivalves	Concentration en PCB dans le sédiment	Concentration en organoétains chez les bivalves	Etat de santé des gastéropodes	Proportion d'oiseaux échoués mazoutés
Criteria status	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description criteria	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the parameters assessed were met does not allow a conclusion on criterion D8C1. In addition, there are currently no rules defined to incorporate the parameters "Concentration in sediment" and "Concentration in bivalve molluscs".	The absence of a conclusion on whether or not the "Imposex" parameter has been violated does not allow a conclusion to be drawn on the status of the D8C2 criterion.	The absence of a conclusion on whether or not the "Occurrence" parameter, relating to oiled birds, is not sufficient to conclude on criterion D8C4.
Element status	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description element	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. On the other hand, no threshold exceedance for anthracene is observed in bivalve molluscs and concentrations are mostly stable over the period assessed.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. On the other hand, no threshold exceedance for anthracene is observed in bivalve molluscs and concentrations are mostly stable over the period assessed.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. On the other hand, no threshold exceedance for benz(a)anthracene is observed in bivalve molluscs and concentrations are mostly stable at the stations.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. On the other hand, no threshold exceedance for benz(a)anthracene is observed in bivalve molluscs and concentrations are mostly stable at the stations.	For cadmium (Cd) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where threshold exceedances are observed (7.5%). On the other hand, no exceedance of the health threshold (available threshold) is observed for cadmium in bivalve molluscs.	For cadmium (Cd) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where threshold exceedances are observed (7.5%). On the other hand, no exceedance of the health threshold (available threshold) is observed for cadmium in bivalve molluscs.	For chromium (Cr) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where threshold exceedances are observed. In addition, Cr concentrations exceed the threshold in a majority of the stations monitored by the MRU (85%), particularly in regions influenced by inputs from the Seine.For chromium in bivalves, no threshold is currently available but concentrations are increasing between 2010 and 2015 to the north of the MRU and further south, in the Baie de Seine and Cherbourg.	For chromium (Cr) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where threshold exceedances are observed. In addition, Cr concentrations exceed the threshold in a majority of the stations monitored by the MRU (85%), particularly in regions influenced by inputs from the Seine.For chromium in bivalves, no threshold is currently available but concentrations are increasing between 2010 and 2015 to the north of the MRU and further south, in the Baie de Seine and Cherbourg.	For copper in sediment, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold is exceeded (35%). For copper in bivalves, no threshold is currently available, but statistical trend analysis shows that concentrations do not increase between 2010 and 2015 in this MRU.	For copper in sediment, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold is exceeded (35%). For copper in bivalves, no threshold is currently available, but statistical trend analysis shows that concentrations do not increase between 2010 and 2015 in this MRU.	Dieldrin concentrations are below the threshold in bivalves (not assessed in sediments) and where a trend could be calculated, it is stable or decreasing.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. A threshold exceedance is also observed for fluoranthene in bivalve molluscs for one station located in the Baie de Seine. Fluoranthene concentrations in bivalves are mostly stable, and even decreasing at 6 stations.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. A threshold exceedance is also observed for fluoranthene in bivalve molluscs for one station located in the Baie de Seine. Fluoranthene concentrations in bivalves are mostly stable, and even decreasing at 6 stations.	Lindane concentrations in bivalve molluscs are above the threshold for 4 of the 20 sites monitored and appear stable for the 10 sites for which it was possible to calculate temporal trends. In contrast, no threshold exceedances are observed in sediments.	Lindane concentrations in bivalve molluscs are above the threshold for 4 of the 20 sites monitored and appear stable for the 10 sites for which it was possible to calculate temporal trends. In contrast, no threshold exceedances are observed in sediments.	For hexachlorobenzene, no threshold exceedances are observed in sediments (not assessed in bivalve molluscs).	For lead (Pb) in sediment, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold is exceeded. In addition, Pb concentrations exceed the threshold in a majority of the stations monitored by the MRU (47.5%), particularly in regions influenced by inputs from the Seine. On the other hand, no exceedance of the health threshold (available threshold) is observed for lead in bivalve molluscs.	For lead (Pb) in sediment, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold is exceeded. In addition, Pb concentrations exceed the threshold in a majority of the stations monitored by the MRU (47.5%), particularly in regions influenced by inputs from the Seine. On the other hand, no exceedance of the health threshold (available threshold) is observed for lead in bivalve molluscs.	For naphthalene, no threshold exceedances are observed either in sediments or in bivalve molluscs.	For naphthalene, no threshold exceedances are observed either in sediments or in bivalve molluscs.	Nickel concentrations in sediment exceed the threshold for 100% of the monitored stations with no known major sources for this element. Two hypotheses can be made, either the origin of the nickel is not well traced or the threshold is not appropriate, at least in France, with a proposed value that is too low. The latter hypothesis is notably supported by the fact that the threshold value is close to the geochemical background concentration. However, these hypotheses need to be further investigated and verified. Moreover, for nickel in bivalves, no threshold is currently available, but concentrations increase between 2010 and 2015 to the north of the MRU and further south, in the Baie de Seine and Cherbourg.	Nickel concentrations in sediment exceed the threshold for 100% of the monitored stations with no known major sources for this element. Two hypotheses can be made, either the origin of the nickel is not well traced or the threshold is not appropriate, at least in France, with a proposed value that is too low. The latter hypothesis is notably supported by the fact that the threshold value is close to the geochemical background concentration. However, these hypotheses need to be further investigated and verified. Moreover, for nickel in bivalves, no threshold is currently available, but concentrations increase between 2010 and 2015 to the north of the MRU and further south, in the Baie de Seine and Cherbourg.	For CB 101, threshold exceedances are observed in sediments and bivalve molluscs. Contamination in bivalves thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume. No increase in PCBs in biota is observed.	For CB 101, threshold exceedances are observed in sediments and bivalve molluscs. Contamination in bivalves thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume. No increase in PCBs in biota is observed.	For CB 138, threshold exceedances are observed in sediments and bivalve molluscs. Contamination in bivalves thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume. No increase in PCBs in biota is observed.	For CB 138, threshold exceedances are observed in sediments and bivalve molluscs. Contamination in bivalves thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume. No increase in PCBs in biota is observed.	For CB 153, no threshold exceedances are observed in sediment. Threshold exceedances are detected for CB 153 in bivalve molluscs for three stations. No increase in PCBs in biota is observed.	For CB 153, no threshold exceedances are observed in sediment. Threshold exceedances are detected for CB 153 in bivalve molluscs for three stations. No increase in PCBs in biota is observed.	For CB 180, no threshold exceedances are observed in sediment. A threshold exceedance is detected for CB 180 in bivalve molluscs for one station. Over the period 2010-2015, the concentration of CB 118 in bivalves is stable or even decreasing in 50% of the stations monitored.	For CB 180, no threshold exceedances are observed in sediment. A threshold exceedance is detected for CB 180 in bivalve molluscs for one station. Over the period 2010-2015, the concentration of CB 118 in bivalves is stable or even decreasing in 50% of the stations monitored.	For CB 28, no threshold exceedances are observed in sediment. A threshold exceedance is detected for CB 28 in bivalve molluscs for one station. No increase in PCBs in biota is observed.	For CB 28, no threshold exceedances are observed in sediment. A threshold exceedance is detected for CB 28 in bivalve molluscs for one station. No increase in PCBs in biota is observed.	For CB 52, threshold exceedances are observed in sediments and bivalve molluscs. Contamination in bivalves thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume. No increase in PCBs in biota is observed.	For CB 52, threshold exceedances are observed in sediments and bivalve molluscs. Contamination in bivalves thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume. No increase in PCBs in biota is observed.	For PAHs, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. In bivalve molluscs, no threshold exceedance for phenanthrene is detected but an increase in concentrations is observed at one station.	For PAHs, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. In bivalve molluscs, no threshold exceedance for phenanthrene is detected but an increase in concentrations is observed at one station.	For PAHs, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. In bivalve molluscs, no threshold exceedance for pyrene is detected but an increase in concentrations is observed at one station.	For PAHs, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. In bivalve molluscs, no threshold exceedance for pyrene is detected but an increase in concentrations is observed at one station.	For zinc (Zn) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold exceedance is observed. In addition, Zn concentrations exceed the threshold in a majority of the stations monitored by the MRU (57.5%), particularly in regions influenced by inputs from the Seine.For zinc in bivalves, no threshold is currently available but concentrations are increasing between 2010 and 2015 to the north of the MRU and further south, in the Baie de Seine and Cherbourg.	For zinc (Zn) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold exceedance is observed. In addition, Zn concentrations exceed the threshold in a majority of the stations monitored by the MRU (57.5%), particularly in regions influenced by inputs from the Seine.For zinc in bivalves, no threshold is currently available but concentrations are increasing between 2010 and 2015 to the north of the MRU and further south, in the Baie de Seine and Cherbourg.	Concentrations of p,p'-DDE are below the threshold in sediment and bivalves, and are decreasing at more than half of the sites for which a trend can be calculated.	Concentrations of p,p'-DDE are below the threshold in sediment and bivalves, and are decreasing at more than half of the sites for which a trend can be calculated.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. A threshold exceedance is also observed for benzo(a)pyrene in bivalve molluscs for one station located in the Baie de Seine.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. A threshold exceedance is also observed for benzo(a)pyrene in bivalve molluscs for one station located in the Baie de Seine.	For PAHs, threshold exceedances were observed for at least one PAH at 22 of the 69 stations monitored: for benzo(g,h,i)perylene alone at 13 stations or with other PAHs at 9 stations. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. In bivalve molluscs, no threshold exceedance for benzo(g,h,i)perylene is detected but an increase in concentrations is observed at one station.	For PAHs, threshold exceedances were observed for at least one PAH at 22 of the 69 stations monitored: for benzo(g,h,i)perylene alone at 13 stations or with other PAHs at 9 stations. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coast/wide gradient. In bivalve molluscs, no threshold exceedance for benzo(g,h,i)perylene is detected but an increase in concentrations is observed at one station.	For benzo(k)fluoranthene, no threshold exceedances are observed in bivalve molluscs and concentrations are stable over the assessment period.	The monitoring of dioxins and dioxin-like compounds shows an exceedance of the threshold for bivalves at a station in the Baie de Seine, as well as the absence of a decrease in the concentrations of dioxin-like compounds between 2010 and 2015.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coastal/wide-coastal gradient. For indeno(1,2,3-cd)pyrene in bivalves, no threshold is currently available but concentrations are increasing between 2010 and 2015 for two stations.	For PAHs in sediment, threshold exceedances are observed for at least one PAH at 22 of the 69 stations monitored. This contamination is mainly localized from Dieppe to the Baie de Seine and then to Cherbourg. In the Baie de Seine, PAH contamination is essentially coastal, with a clear coastal/wide-coastal gradient. For indeno(1,2,3-cd)pyrene in bivalves, no threshold is currently available but concentrations are increasing between 2010 and 2015 for two stations.	For mercury (Hg) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold exceedance is observed. In addition, Hg concentrations exceed the threshold in a majority of the stations monitored by the MRU (62.5%), particularly in regions influenced by inputs from the Seine. On the other hand, no exceedance of the health threshold (available threshold) is observed for mercury in bivalve molluscs.	For mercury (Hg) in sediments, the coastal zone of the Channel-North Sea marine sub-region is the most contaminated of the four French marine sub-regions in terms of the percentage of stations where a threshold exceedance is observed. In addition, Hg concentrations exceed the threshold in a majority of the stations monitored by the MRU (62.5%), particularly in regions influenced by inputs from the Seine. On the other hand, no exceedance of the health threshold (available threshold) is observed for mercury in bivalve molluscs.	For PCBs, the majority of stations had CB 118 concentrations above the threshold in both sediment (85%) and bivalve molluscs (70%). Contamination thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume.	For PCBs, the majority of stations had CB 118 concentrations above the threshold in both sediment (85%) and bivalve molluscs (70%). Contamination thus extends from Dieppe to the west of the Baie de Seine along a concentration gradient that decreases as one moves away from the influence of the Seine plume.	For TBT, concentrations in bivalve molluscs exceed the threshold for 11 of the 20 stations monitored (55%) located along the coastline from Pays de Caux in the north to the bay of Mont Saint Michel in the south. It is important to specify that these areas, where TBT exceedances are observed, also show levels above the threshold for the Imposex parameter.	Monitoring of Imposex in the gastropod, Nucella lapillus, revealed that the threshold was exceeded at 7 stations (41% of the stations evaluated) and no temporal increase was observed. Threshold exceedances were observed for all the stations located at the exit of the Seine estuary, and for one station at the exit of the port of Cherbourg. In areas affected by Imposex, threshold exceedances of TBT concentrations in bivalves are also observed.	Threshold exceedances are observed in different winters between 2013 and 2016. However, the number of stranded murres is low, except for the winter 2013-2014 on the Normandy coast, which was marked by an episode of mass strandings due to a succession of exceptional storms (Le Guillou et al., 2014). Thus, the impact of oil on seabirds may have been underestimated by this mass stranding. On the contrary, the low number of stranded birds found during the winter of 2014-2015 makes it difficult to draw any conclusions on the status of the species.
Integration rule type parameter	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant
Integration rule description parameter
Integration rule type criteria	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Other	Not relevant	Not relevant
Integration rule description criteria	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined	Rule not yet defined
GES extent threshold
GES extent achieved
GES extent unit
GES achieved	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description overall status	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	The assessment is carried out for each contaminant in two compartments of the marine environment (sediments - bivalve molluscs) at the level of the basic unit of assessment which is the station. There is therefore no aggregation at the scale of the MRU, which does not make it possible to conclude on the overall status of the substance. Moreover, no threshold value is currently defined at the level of the overall status of the attribute. However, the assessment of D8C1 in this "Coast" MRU shows that:1/ In sediments, certain contaminants are not in good condition at many stations. This is the case for the 7 metals evaluated, for one hydrocarbon (PAH) and for one polychlorinated biphenyl (PCB) congener of the "dioxin" type, CB 118. The Channel/North Sea marine sub-region is the most contaminated of the 4 French marine sub-regions for metals (in terms of number of stations for which good status is not achieved for at least one metal element).2/ In bivalve molluscs, some contaminants are not in good status at stations in the Baie de Seine, i.e. two to seven PCB congeners and two PAHs. In addition, threshold value exceedances are observed for lindane at a few stations distributed along the coast of the Channel/North Sea sub-region and for tributyltin (TBT) along the entire coastline from Pays de Caux in the north to the Bay of Mont Saint Michel in the south.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation est effectuée, pour chaque contaminant dans deux compartiments de l'environnement marin (sédiments - mollusques bivalves) au niveau de l’unité élémentaire d’évaluation qui est la station. Il n’y a donc pas d’agrégation à l’échelle de l’UMR ce qui ne permet pas de conclure sur l'état global de la substance. De plus, aucune valeur seuil n'est actuellement définie au niveau du statut général de la composante BEE. Pour autant l'évaluation du D8C1 montre que:1/ Dans les sédiments, certains contaminants ne sont pas en bon état sur de nombreuses stations. C'est le cas pour les 7 métaux évalués, pour un hydrocarbure (HAP) et pour un congénère de polychlorobiphényles (PCB) de type « dioxine », le CB 118. La SRM MMN est la plus contaminée des 4 SRM françaises pour les métaux (en nombre de stations pour lesquelles le bon état n’est pas atteint pour au moins un élément metallique).2/ Dans les mollusques bivalves, certains contaminants ne sont pas en bon état sur des stations en Baie de Seine, à savoir deux à sept congénères de PCB et deux HAP. De plus, des dépassements de la valeur seuil sont observés pour le lindane pour quelques stations réparties dans le long de la côte de la SRM MMN et pour le tributylétain (TBT) sur l’ensemble du littoral depuis le Pays de Caux au nord jusqu’à la Baie du Mont Saint Michel au sud.	L’évaluation du critère D8C2 a été réalisée pour les gastéropodes. Pour cette UMR, le suivi de l’Imposex chez le gastéropode, Nucella lapillus, a mis en évidence un dépassement de seuil sur 41 % des stations évaluées. Les dépassements de seuil sont observés pour toutes les stations situées à la sortie de l’estuaire de la Seine, et pour une station à la sortie du port de Cherbourg. Cependant, aucune augmentation temporelle n’est constatée. Dans les zones touchées par l’Imposex, des dépassements de seuil des concentrations en TBT chez les bivalves sont également observés.L’évaluation du critère D8C4 a été réalisée par l'indicateur EcoQO « oiseaux mazoutés » qui se base sur le pourcentage de guillemots échoués portant des traces externes d’hydrocarbures. Cependant, la forte variabilité du nombre d’oiseaux échoués combinée à l’impact d’évènement climatique exceptionnel au cours de la période évaluée rend complexe l’interprétation des résultats et ne permet pas une évaluation robuste de cet indicateur.	L’évaluation du critère D8C2 a été réalisée pour les gastéropodes. Pour cette UMR, le suivi de l’Imposex chez le gastéropode, Nucella lapillus, a mis en évidence un dépassement de seuil sur 41 % des stations évaluées. Les dépassements de seuil sont observés pour toutes les stations situées à la sortie de l’estuaire de la Seine, et pour une station à la sortie du port de Cherbourg. Cependant, aucune augmentation temporelle n’est constatée. Dans les zones touchées par l’Imposex, des dépassements de seuil des concentrations en TBT chez les bivalves sont également observés.L’évaluation du critère D8C4 a été réalisée par l'indicateur EcoQO « oiseaux mazoutés » qui se base sur le pourcentage de guillemots échoués portant des traces externes d’hydrocarbures. Cependant, la forte variabilité du nombre d’oiseaux échoués combinée à l’impact d’évènement climatique exceptionnel au cours de la période évaluée rend complexe l’interprétation des résultats et ne permet pas une évaluation robuste de cet indicateur.
Assessments period	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2010-2015	2011-2016	2011-2016
Related pressures
Related targets

Large SRM MMN (12 M) (ANS-FR-MS-MMN-ZL12M)

Simplified table

GES component	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8	D8
Feature	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - non UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances	Contaminants - UPBT substances
Element	Cadmium and its compounds	Lead and its compounds	PCB 101 (2,2’,4,5,5’-pentachlorobiphenyl)	PCB 138 (2,2’,3,4,4’,5’-hexachlorobiphenyl)	PCB 153 (2,2’,4,4’,5,5’-hexachlorobiphenyl)	PCB 180 (2,2’,3,4,4’,5,5’-heptachlorobiphenyl)	PCB 28 (2,4,4’-trichlorobiphenyl)	PCB 52 (2,2’,5,5’-tetrachlorobiphenyl)	Dioxins and dioxin-like compounds (7 PCDDs + 10 PCDFs + 12 PCB-DLs)	Mercury and its compounds	PCB 118 (2,3’,4,4’,5-pentachlorobiphenyl)
Element code	CAS_7440-43-9	CAS_7439-92-1	CAS_37680-73-2	CAS_35065-28-2	CAS_35065-27-1	CAS_35065-29-3	CAS_7012-37-5	CAS_35693-99-3	EEA_33-58-9	CAS_7439-97-6	CAS_31508-00-6
Element code source	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view	Eutrophication (D5) and contaminants (D8-D9) http://dd.eionet.europa.eu/vocabulary/wise/ObservedProperty/view
Element 2
Element 2 code
Element 2 code source
Element source	National	National	National	National	National	National	National	National	National	National	National
Criterion	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1	D8C1
Parameter	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota
Parameter other
Threshold value upper	0.05	0.3	0.121	0.317	1.585	0.469	0.067	0.108	6.5		0.025
Threshold value lower
Threshold qualitative										Seuil sanitaire (EC) du mercure dépend de l’espèce : EC(REQ) pour la petite roussette à 1,0 mg/kg ww , et EC(TE) pour toutes les autres espèces suivies (maquereau, merlan, morue et plie) à 0,5 mg/kg ww.
Threshold value source	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	OSPAR Convention	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	OSPAR Convention
Threshold value source other
Value achieved upper	0.0056	0.1666	0.1061	0.2461	0.4811	0.1474	0.0065	0.0301	6.97	0.537	0.1406
Value achieved lower	0.0012	0.0061	0.0074	0.0327	0.0571	0.0234	0.0009	0.0012	0.0572	0.1157	0.0178
Value unit	milligram per kilogram of wet weight	milligram per kilogram of wet weight	Other	Other	Other	Other	Other	Other	Other	milligram per kilogram of wet weight	Other
Value unit other			mg/kg lw	mg/kg lw	mg/kg lw	mg/kg lw	mg/kg lw	mg/kg lw	pg/g ww TEQ		mg/kg lw
Proportion threshold value
Proportion value achieved	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	80.0	100.0	20.0
Proportion threshold value unit	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value	% of species achieving threshold value
Trend	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Parameter achieved	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description parameter	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared to the available threshold. Number of species for which the contaminant reaches the good status: 5 (whiting, cod, catshark and plaice) Number of species for which the contaminant does not reach the good status: 1 (mackerel). The absence of a threshold for the percentage of species for which the contaminant is in good condition does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The "State" metric obtained for the contaminant in question, and for each species, is compared with the available threshold. Number of species for which the contaminant reaches good status: 5 (mackerel, whiting, cod, dogfish and plaice) Number of species for which the contaminant does not reach good status: 0 The absence of a threshold for the percentage of species for which the contaminant reaches good status does not make it possible to conclude whether or not the parameter assessed has been reached.	This parameter is based on measurements of contaminant concentrations in several species of fish that have been carried out during fishing campaigns over the period 2014-2015 (territorial waters and offshore coverage area). For each fish species, a "State" metric is defined and corresponds to the 95 percentile of the concentrations measured for the contaminant in question. The status metric obtained for the contaminant in question, and for each species, is compared to the available threshold. Number of species for which the contaminant reaches the good status: 1 (spotted dogfish) Number of species for which the contaminant does not reach the good status: 4 (mackerel, whiting, cod and plaice)Threshold exceedances are observed for CB 118 in all species except spotted dogfish. The absence of a threshold for the percentage of species for which the contaminant reaches good status does not allow to conclude on whether or not the parameter evaluated has been reached.
Related indicator	Concentration en métaux chez les poissons	Concentration en métaux chez les poissons	Concentration en PCB chez les poissons	Concentration en PCB chez les poissons	Concentration en PCB chez les poissons	Concentration en PCB chez les poissons	Concentration en PCB chez les poissons	Concentration en PCB chez les poissons	Concentration en dioxines PCB-DL chez les poissons	Concentration en métaux chez les poissons	Concentration en PCB chez les poissons
Criteria status	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description criteria	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.	The lack of a conclusion on whether or not the assessed endpoint (Concentration in Biota) is met does not allow a conclusion on the status of criterion D8C1.
Element status	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description element	Of the five species of fish sampled, no threshold exceedances were observed for cadmium.	Of the five species of fish sampled, no threshold exceedances were observed for lead.	Of the five species of fish sampled, no threshold exceedances were observed for CB 101.	Of the five species of fish sampled, no threshold exceedances were observed for CB 138.	Of the five species of fish sampled, no threshold exceedances were observed for CB 153.	Of the five species of fish sampled, no threshold exceedances were observed for CB 180.	Of the five species of fish sampled, no threshold exceedances were observed for CB 28.	Of the five species of fish sampled, no threshold exceedances were observed for CB 52.	Among the five species of fish sampled (mackerel, whiting, cod, spotted catshark, plaice) over the wide area of the Channel-North Sea marine sub-region, a threshold exceedance is observed for dioxins and dioxin-like compounds in mackerel.	Of the five species of fish sampled, no threshold exceedances were observed for mercury.	Among the five species sampled (mackerel, whiting, cod, spotted catshark, plaice) over the wide area of the Channel-North Sea marine sub-region, threshold exceedances are observed for CB 118 in all species except spotted dogfish.
Integration rule type parameter	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant
Integration rule description parameter
Integration rule type criteria	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant	Not relevant
Integration rule description criteria
GES extent threshold
GES extent achieved
GES extent unit
GES achieved	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Description overall status	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.	The assessment is carried out, for each contaminant, at the level of the basic unit of assessment which is the species. There is therefore no integration of the species, which does not allow conclusions to be drawn on the overall state of the substance in the environment. Moreover, no threshold value is currently defined at the level of the general status of the GES component. However, the assessment of D8C1 in this "Large" MRU shows that threshold exceedances are observed for CB 118 in all species except the spotted dogfish, as well as for dioxins and dioxin-like compounds in mackerel.
Assessments period	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015	2014-2015
Related pressures
Related targets