Art8-2024

Member State report / Art8-2024 / 2024 / D9 / Italy / Mediterranean: Adriatic Sea

Report type	Member State report to Commission
MSFD Article	Art8
Report due	2024-10-15
GES Descriptor	D9 Contaminants in seafood
Member State	Italy
Region/subregion	Mediterranean: Adriatic Sea
Report date	2025-09-11 10:38:38

MAD-IT-MS-AS

Simplified table

Regional assessment area
Component MRUs
GES component	D9	D9	D9	D9	D9	D9	D9	D9	D9	D9	D9	D9	D9
Feature	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood	Contaminants - in seafood
Element	Benzo(a)pyrene	Cadmium and its compounds	Cadmium and its compounds	Cadmium and its compounds	Lead and its compounds	Lead and its compounds	Lead and its compounds	Mercury and its compounds	Mercury and its compounds	Non-dioxin like PCB (sum of 6 PCB: 28, 52, 101, 138, 153 and 180)	Sum of benz (a) pyrene, benz (a) anthracene, benzo (b) fluoranthene and chrysene	Sum of dioxins (WHO-PCDD/F-PCB-TEQ)	Sum of dioxins (WHO-PCDD/F-TEQ)
Element extent
Trend element	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Element 2	Bivalvia	Cd 3.2.10 under the law Reg.1881/2006/EC	Cd 3.2.5 under the law Reg.1881/2006/EC	Cd 3.2.9 under the law Reg.1881/2006/EC	Lead 3.1.5 under the law Reg.1881/2006/EC	Lead 3.1.6 under the law Reg.1881/2006/EC	Lead 3.1.7 under the law Reg.1881/2006/EC	Hg 3.3.1 under the law Reg.1881/2006/EC	Hg 3.3.2 under the law Reg.1881/2006/EC	Sum of PCB28, PCB52, PCB101, PCB138, PCB153 and PCB180 (ICES – 6) 5.3 under the law Reg.1881/2006/EC	Bivalvia	PCDD+PCDF+PCB-DL 5.3 under the law Reg.1881/2006/EC	PCDD+PCDF 5.3 under the law Reg.1881/2006/EC
Element source	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs
Criterion	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1	D9C1
Parameter	Concentration in biota	Concentration in biota	CONC-B-Muscle	CONC-B-Other	CONC-B-Muscle	CONC-B-Muscle	CONC-B-Muscle	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota	Concentration in biota
Threshold value upper	5.0	1.0	0.05	1.0	0.3	0.5	1.5	0.5	1.0	75.0	30.0	6.5	3.5
Threshold value lower
Threshold value operator	<=	<=	<=	<=	<=	<=	<=	<=	<=	<=	<=	<=	<=
Threshold qualitative
Threshold value source	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)	Regulation on contaminants in foodstuffs (EC 1881/2006)
Value achieved upper	2.5	0.00215	0.07	0.43	0.357	0.999831	3.2	0.3617	0.421	22.8	17.3	1.93	0.51
Value achieved lower	0.005	2.1	0.001	0.005	0.005	0.025	0.00025	1.3e-05	0.001	0.07		0.0056	0.0026
Value unit	microgram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	milligram per kilogram of wet weight	ng/g ww	microgram per kilogram of wet weight	pg TEQ/g ww	pg TEQ/g ww
Proportion threshold value	70.0	70.0	70.0	70.0	70.0	70.0	70.0	70.0	70.0	70.0	70.0	70.0	70.0
Proportion value achieved	100.0	99.9	98.9	100.0	100.0	87.5	100.0	100.0	100.0	99.8	100.0	99.2	100.0
Proportion threshold value unit	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value	% of samples achieving threshold value
Trend parameter	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
Parameter achieved	Yes	Yes	Yes	Unknown	Yes	Unknown	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Description parameter	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 66,7% of the total MRU area, so GES can be assessed. Since 100% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 61% of the total MRU area, therefore GES can be assessed. Since 99,9% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 55,6% of the total MRU area, so GES can be assessed. Since 98,9% of samples achieve threshold values, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, all samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 55,6% of the total MRU area, therefore GES can be assessed. Since 100% of samples achieve the threshold value, the MRU is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. Since the MRU investigated area is less than 50% of total MRU area, GES cannot be assessed in this case. However, 87.5 % of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 61% of the total MRU area, therefore GES can be assessed. Since 100% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 77,8% of the total MRU area, so GES can be assessed. Since 100% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 50% of the total MRU area, so GES can be assessed. Since more 100% of samples achieve thr threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 72,2% of the total MRU area, so GES can be assessed. Since 99,8% of samples achieve threshold values, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 55,6% of the total MRU area, so GES can be assessed. Since 100% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is 72,2% of the total MRU area, so GES can be assessed. Since 99,2% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES, the MRU area covered by data should be at least 50% of total MRU area. If this condition is fulfilled and at least 70% of samples achieve the threshold value, the MRU is considered to be in GES. In this case, the MRU investigated area is more than 66,7% of the total MRU area, therefore GES can be assessed. Since 100% of samples achieve the threshold value, the MRU is considered to be in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
Related indicator	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9	IT-MS-D9
Criteria status	Good	Good	Good	Unknown	Good	Unknown	Good	Good	Good	Good	Good	Good	Good
Description criteria	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is < 50% of total MRU area. Therefore, the environmental status cannot be assessed.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.	MRU investigated area is ≥ 50% of total MRU area and at least 70% of samples achieve the threshold value. Therefore, the status is good.
Element status	Good	Good	Good	Unknown	Good	Unknown	Good	Good	Good	Good	Good	Good	Good
Description element	MRU investigated area is equal to 66,7% of total MRU area and 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 61,1% of total MRU area and 99,9% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 56% of total MRU area and 98,9% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 56% of total MRU area and 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is <50% of total MRU area, therefore the element status cannot be assessed. However, 87,5% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the present and previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 61% of total MRU area and 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to77,8% of total MRU area and 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 50% of total MRU area and at least 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 72,2% of total MRU area and 99,8% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 55,6% of total MRU area and 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 72,2% of total MRU area and 99,2% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	MRU investigated area is equal to 66,7% of total MRU area and 100% of samples achieve the threshold value. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
Source assessment feature	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs	Foodstuffs
Reporting method feature	Type D	Type D	Type D	Type D	Type D	Type D	Type D	Type D	Type D	Type D	Type D	Type D	Type D
Trend feature	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown	Unknown
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
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	Not relevant	Not relevant
Integration rule description criteria
GES extent threshold	80.00	80.00	80.00	80.00	80.00	80.00	80.00	80.00	80.00	80.00	80.00	80.00	80.00
GES extent achieved	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00	100.00
GES extent unit	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status	Proportion of substances in good status
GES achieved	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024	GES achieved by 2024
Description overall status	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).	In order to assess GES for the feature, at least 80% of the elements should have an assessable status (i.e. elements should have a spatial coverage ≥50% of total MRU area). If this condition is fulfilled, the feature is considered to be in GES if at least 80% of the elements are in good status. In the AS MRU 100% of the elements have sufficient spatial coverage to be assessed and their status is good, since the threshold value is achieved in a very high percentage of samples in all elements. Therefore, the feature is in GES. Trend in status is """"unknown"""" because data collected in the previous 6-years reporting period did not achieve a sufficient spatial coverage (MRU investigated area <50% of total MRU area).
Assessments period	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021	2016-2021
Related pressures	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events	Input of litter (solid waste matter, including micro-sized litter) Input of other substances (e.g. synthetic substances, non-synthetic substances, radionuclides) - diffuse sources, point sources, atmospheric deposition, acute events
Related targets	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001	MAD-IT-D09-T001
Test TV	Yes	Yes	No	Yes	No	No	No	Yes	Yes	Yes	Yes	Yes	Yes
Test results	Correct	Correct	False	False	False	False	False	Correct	Correct	Correct	Correct	Correct	Correct