Member State report / Art8-2024 / 2024 / D1-R / Italy / Mediterranean: Ionian Sea & Central Mediterranean Sea

Report type Member State report to Commission
MSFD Article Art8
Report due 2024-10-15
GES Descriptor D1 Reptiles
Member State Italy
Region/subregion Mediterranean: Ionian Sea & Central Mediterranean Sea
Report date 2025-09-11 10:38:38

MIC-IT-MS-ISCMS

Regional assessment area
Component MRUs
GES component
D1R
D1R
D1R
D1R
D1R
D1R
D1R
Feature
Turtles
Turtles
Turtles
Turtles
Turtles
Turtles
Turtles
Element
Caretta caretta
Caretta caretta
Caretta caretta
Caretta caretta
Caretta caretta
Caretta caretta
Caretta caretta
Element extent
Trend element
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Element 2
Element source
National
National
National
National
National
National
National
Criterion
D1C1
D1C2
D1C2
D1C3
D1C4
D1C4
D1C5
Parameter
Mortality rate / Mortality rate from fishing (F)
Abundance
ABU-Nests
NestingSuccess
DIST-NR
Distribution (range)
Habitat condition
Threshold value upper
55.0
Threshold value lower
Threshold value operator
>=
Threshold qualitative
Incomplete MRU monitoring prevented us from assessing the parameter in 2018. The high 2021 abundances and 2018 ASI suggest a healthy population
The parameter was not reported in the previous reporting cycle. A qualitative comparison with reported bibliographic data indicates an increase in the trend of annual nesting events during the last years in an area corresponding to the index areas MIC-PEL and MIC-CAL_1 (Mingozzi et al. 2007, Mingozzi 2010,Mingozzi et al. 2016) .
The parameter was not reported in the previous reporting cycle so a qualitative comparison is conducted based on the reported bibliographic data which indicate an increasing trend, during the last decades, of the total number and distribution of nesting events in the MIC MRU (Mingozzi et al. 2007, Mingozzi 2010,Mingozzi et al. 2016 ) .
The distribution data from 2021 (MSFD) and ASI 2018 analysed using the Habitat Directive tool monitoring indicate a wide distribution across areas with diverse enviromental conditions.
The widespread presence of individuals in both pelagic and neritic habitats from 2016 and 2021 surveys suggests that these environments provide the necessary resources for the species
Threshold value source
UNEP/MAP
UNEP/MAP
UNEP/MAP
UNEP/MAP
Value achieved upper
17.437
56.0
61.0
32.1
Value achieved lower
12.706
30.0
56.0
20.4
Value unit
Other
individuals
events/y
percentage
% coverage
Proportion threshold value
Proportion value achieved
Proportion threshold value unit
Trend parameter
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Parameter achieved
Unknown
Yes
Yes
Unknown
Yes
Yes
Yes
Description parameter
The threshold value for fishing mortality has not been calculated due to a lack of adequate information on bycatch levels within the MRU. A limit value considering the ecological requirements of the species, could be calculated by applying the Potential Biological Removal (PBR) to the best available population abundance estimate and after regional or sub-regional consultation.
High value of the parameter obatined in the 2021 survey N=14885 (95%C.I =12.70) - 17.437). Data from 2016 N=31444 (95%C.I.=26413 -37433) have been produced in different season, hence a direct comparison is not possible and the differences highlighted can origin from the high variable dispersal patterns of the species in the whole Mediterranean Sea.
The parameter describes the trend in annual nest counts recorded in the index area/s of the subregions with coastal areas characterised by annual, consistent and nationally representative nesting events.The assessment of trend in annual nest counts is a new parameter introduced in the current art.8 reporting cycle in order to improve the assessment of DIC2 as foreseen by the EU MSFD art.8 and IMAP indicator reporting guidelines (UNEP/MAP 2021, EC 2022). The implementation of the IMAP guidelines for Italy involve the evaluation of nesting trends in assessment areas object of: effort correlated monitoring programs, covering 50% of the population and potentially distributed across 4 national index areas so as to guarantee a sufficient sampling representativity. The MIC MRU index areas for which the parameter data are provided include the Pelagie islands (MIC-PEL), the ionian coast of Calabria (MIC-CAL) and southwestern Puglia (MIC-PUG) corresponding to 47% of the nests distributed in the overall MRU during the period 2018-2021. However only a subpart of the MIC-CAL and MIC-PUG index areas (hereon identified as MIC-CAL_1 and MIC-PUG_1) were object of effort-related beach monitoring activities throughout the 4 year period, so only nesting data pertaining to these index area subportions are considered for the purpose of the assessment . The nesting representativity of the considered index areas therefore amounts to 36% of the nests recorded at MRU scale during the four year period (MIC-PEL =4%, MIC-CAL_1=28%, MIC-PUG_1 =4%). Data reported in several bibliographic sources describing the trend in nesting counts and locations observed in the past decades (Mingozzi et al. 2007, Mingozzi 2010,Mingozzi et al. 2016) allow to infer a qualitative increase of the current numbers and locations of nesting events thereby justifying the conclusion, in qualitative terms, that the trend is increasing , in line with what is reported for Italy, for the respective IMAP indicator, in the Barcelona Convention QSR. Information on the datasources, datasets, parameter data, references and index areas extension are indicated in the Summary Report.
The parameters refers to hatchling emergence success (HES), describing the percentage of hatchlings which hatched and reached the surface of the nest to emerge. The percentage is calculated by subtracting the number of dead and live hatchlings found in the nest during post-hatch excavation, from the total number of hatched eggs divided by the total number of eggs laid in the nest. The GES of this demographic parameter is determined using the threshold value defined by UNEP/MAP 2021 in the IMAP demographic indicator; the optimum target to be achieved for C.caretta nests should be an annual HES higher than 65%, with a -10% accepted tolerance resulting in a proposed GES threshold value for annual HES of above 55%. The parameter is calculated by considering the hatching data of all nests in a year for a given assessed area as a single nesting event. Each assessment area must undergo a specific HES assessment for the IMAP indicator application. UNEP/MAP 2021 guidelines indicate (for countries such as Italy) that data should come from areas subject to beach monitoring and representing of 50% of the observed national nesting population and potentially covering 4 national index areas for adequate sampling representativity. The MIC MRU index areas include the Pelagie Islands (MIC-PEL), the Ionian coast of Calabria (MIC-CAL) and southwestern Puglia (MIC-PUG) corresponding to 47% of the nests distributed in the overall MRU during the period 2018-2021. However only a subpart of MIC-CAL and MIC-PUG index areas (hereon identified as MIC-CAL_1 and MIC-PUG_1) were monitored during this period, so only nesting data pertaining to these index area subportions are considered for the assessment. The nesting representativity of the considered index-areas therefore amounts to 36% of the nests recorded at MRU scale during the four year period (MIC-PEL=4%, MIC-CAL_1=28%, MIC-PUG_1=4%). Information on data sources, datasets, parameter data, references and index areas extension are indicated in the Summary Report. The minimum and maximum annual HES values observed between 2018-2021 in the three index-areas combined are above the IMAP minimum threshold value, however, if analysed as stand-alone cases two of the three index areas (MIC-PEL and MIC-PUG_1) have annual HES values generally below threshold. Due to the low representativity of the three index-areas combined (36% of total eggs laid in the MRU), the parameter assessment is considered unknown.
The parameter describes the annual distribution of nesting events with respect to their presence in coastal 10x10km cells of each of the italian MRU sduring the period 2018-2021 (described as annual percent of coastal cells occupied by nests per subregion in the period 2018-2021).The parameter development is line with the indications provided by the EU and regional guidelines respectively for MSFD art.8 and IMAP indicator assessments (EC 2022, UNEP/MAP 2021). Details on the data sets, sources, coverage figures and references are described in the summary report. Since the parameter has only recently entered into the proposed reporting flow there are no data from the previous reporting cycle to allow comparison with the present reported information. However data reported in several bibliographic sources describing the trend in nesting counts and locations observed in the past decades (Mingozzi et al. 2007, Mingozzi 2010,Mingozzi et al. 2016) allow to infer a qualitative increase of the current numbers and locations of nesting events thereby justifying the conclusion in qualitative terms, that the trend is increasing , in line with what is reported for Italy, for the respective IMAP indicator, in the Barcelona Convention QSR. Details on the data sets, sources, coverage figures and references are described in the summary report.
The parameter has been positively assessed by the Range Tool HD (http://discomap.eea.europa.eu/App/RangeTool/) with a 200 km gap distance. Caretta caretta exhibit highly variable dispersal patterns in the Mediterranean, influenced by diverse feeding habitats (Schofield et al., 2013). Long-distance movements of over 200 km have been reported (Luschi, P., & Casale, P. 2014)
A standardized approach for assessing the suitability of the habitat conditions of critical marine turtle areas at sea is not addressed by the EU MSFD or HD guidance documents on reporting. Moreover, a standardized method for quantifying threshold values for criteria D1C4 and D1C5, which are closely correlated, is currently unavailable. No assessment is therefore conducted for the nesting habitat conditions of the italian MRUs while a qualitative judgement is identified as good for the habitat condition at sea based on the combined abundance (D1C2) and distribution (D1C4) trends observed at sea based on which the criteria are considered to be in good conditions.
Related indicator
  • MIC-IT-MS-ISCMS-D1M-D1R-MR
  • MIC-IT-MS-ISCMS-D1R-NEST
  • MIC-IT-MS-ISCMS-D1R-NEST
  • MIC-IT-MS-ISCMS-D1R-NEST
  • MIC-IT-MS-ISCMS-D1M-D1R-MR
  • MIC-IT-MS-ISCMS-D1M-D1R-MR
Criteria status
Unknown
Good
Good
Unknown
Good
Good
Good
Description criteria
D1C1 has an unknown assessment due to the lack of adequate information on bycatch rates and total mortality values.
The criterion is driven by the integration of two parameters: the achievement of a stable/increasing trend in population abundance at sea and nesting trends in the subregion
The criterion is driven by the integration of two parameters: the achievement of a stable/increasing trend in population abundance at sea and nesting trends in the subregion
The criterion is defined as unknown and driven by the insufficient data representativity of the nesting population index area with respect to the subregional numbers
The criterion is driven by the integration of two parameters: the achievement of a stable/increasing trend in population abundance at sea and nesting distribution in the subregion
The criterion is driven by the integration of two parameters: the achievement of a stable/increasing trend in population abundance at sea and nesting distribution in the subregion
No methodology has been defined - nor agreed for this criterion at EU and regional sea context. However, the general distribution pattern at sea shown by the species in the MRU is in line with the general known habitat for this species and the population abundance trends at sea and at nesting sites are good so habitat conditions at sea (D1C5) are considered good.
Element status
Good
Good
Good
Good
Good
Good
Good
Description element
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
The element status is good because the assessment of three primary criteria is considered good (D1C2 and D1C4 where parameter trend data are stable/increasing and D1C5 which is based on the assumption that the good status observed in population abundance and distribution at sea is indicative of the existence of good habitat suitability and conditions at sea).
Source assessment feature
  • National
  • National
  • National
  • National
  • National
  • National
  • National
Reporting method feature
Type D
Type D
Type D
Type D
Type D
Type D
Type D
Trend feature
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Unknown
Integration rule type parameter
OOAO
OOAO
OOAO
OOAO
OOAO
OOAO
OOAO
Integration rule description parameter
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
The criteria D1C2 and D1C4 are each characterised by two parameters: one describing the criterion in a strictly marine ecosystem (population abundance and species distribution range throughout neritic and pelagic aggregation, feeding, wintering and migratory areas) as well as in nesting beaches (number and distribution of nesting events on beaches). In order to determine GES for each of these two criteria both parameter trends need to be stable/increasing in line with the EU Guidance Document n.19 (EC, 2022).
Integration rule type criteria
Other
Other
Other
Other
Other
Other
Other
Integration rule description criteria
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
The integration rule applied to the criteria is that described by the EC Guidance document n.19 (EC,2022) which indicates that species listed under the Habitats Directive qualify for a favourable conservation status when at least three primary criteria qualify as favourable. In the case of the MIC MRU primary criteria D1C2,D1C4 and D1C5 are assessed as good while D1C1 and D1C3 are unknown. The overall assessment is therefore judged to be good.
GES extent threshold
1.00
1.00
1.00
1.00
1.00
1.00
1.00
GES extent achieved
1.00
1.00
1.00
1.00
1.00
1.00
1.00
GES extent unit
Proportion of species in good status within species group
Proportion of species in good status within species group
Proportion of species in good status within species group
Proportion of species in good status within species group
Proportion of species in good status within species group
Proportion of species in good status within species group
Proportion of species in good status within species group
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
Description overall status
Assessments period
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
2016-2021
Related pressures
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
  • Disturbance of species (e.g. where they breed, rest and feed) due to human presence
  • Extraction of, or mortality/injury to, wild species (by commercial and recreational fishing and other activities)
Related targets
  • MIC-IT-D01-T003
  • MIC-IT-D01-T003
  • MIC-IT-D01-T003
  • MIC-IT-D01-T003
  • MIC-IT-D01-T003
  • MIC-IT-D01-T003
  • MIC-IT-D01-T003
Test TV
NA
NA
NA
Yes
NA
NA
NA
Test results
Correct
False
False
False
False
False
False