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Species assessments at EU biogeographical level

The Article 17 web tool provides an access to EU biogeographical and Member States’ assessments of conservation status of the habitat types and species of Community interest compiled as part of the Habitats Directive - Article 17 reporting process. These assessments have been carried out in EU25 for the period 2001-2006, in EU 27 for the period 2007-2012 and in EU28 for the period 2013-2018.

Choose a period, a group, then a species belonging to that group.
Optionally, further refine your query by selecting one of the available biogeographical regions for that species.
Once a selection has been made the conservation status can be visualised in a map view.

The 'Data sheet info' includes notes for each regional and overall assessment per species.

The 'Audit trail' includes the methods used for the EU biogeographical assessments and justifications for decisions made by the assessors.

Note: Rows in italic shows data not taken into account when performing the assessments (marginal presence, occasional, extinct prior HD, information, etc)

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2013-2018, Mammals, Plecotus macrobullaris, All bioregions. Annexes N, Y-HTL, N. Show all Mammals
Member States reports
MS Region Range (km2) Population Habitat for the species Future prospects Overall assessment Distribution
area (km2)
Surface Status
(% MS)
Trend FRR
Min
Member State
code
Reporting units Alternative units
Min Max Best value Unit Type of estimate Min Max Best value Unit Type of estimate
AT 32 N/A N/A grids1x1 minimum N/A N/A N/A N/A
ES 25 2500 N/A grids1x1 estimate 46 N/A N/A localities minimum
FR 3000 4000 N/A grids1x1 mean 15 20 N/A colonies mean
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
IT 225 2250 N/A grids1x1 estimate N/A N/A N/A N/A
SI 25 28 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
IT 70 700 N/A grids1x1 estimate N/A N/A N/A N/A
SI 29 32 N/A grids1x1 estimate N/A N/A N/A N/A
FR 30 30 N/A grids1x1 mean 4 6 N/A colonies mean
GR N/A N/A 34253 grids1x1 estimate 100 500 N/A grids5x5 estimate
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
FR 2 2 N/A grids1x1 mean 2 2 N/A grids10x10 mean
Max
Best value Unit Type est. Method Status
(% MS)
Trend FRP Unit Occupied
suff.
Unoccupied
suff.
Status Trend Range
prosp.
Population
prosp.
Hab. for sp.
prosp.
Status Curr. CS Curr. CS
trend
Prev. CS Prev. CS
trend
Status
Nat. of ch.
CS trend
Nat. of ch.
Distrib. Method % MS
AT ALP 2500 5.89 - > 32 N/A N/A grids1x1 minimum b 0.53 x > Y FV = poor unk good U1 U1 x U1 x noChange noChange 2200 b 13.75
ES ALP 5500 12.95 = > 25 2500 N/A grids1x1 estimate a 20.82 = 46 localities Y FV = poor unk good U1 U1 x U1 x noChange noChange 2800 a 17.50
FR ALP 3500 8.24 = 3000 4000 N/A grids1x1 mean c 57.72 = x Unk Y FV = good unk poor U1 U1 = XX knowledge noChange 2600 c 16.25
HR ALP 2600 6.12 x >> N/A N/A 5 grids1x1 minimum c 0.08 x >> N Unk U1 x poor poor poor U1 U2 x N/A N/A 2100 b 13.13
IT ALP 20700 48.76 + x 225 2250 N/A grids1x1 estimate c 20.41 = Unk XX = good good poor U1 U1 + XX knowledge knowledge 4200 b 26.25
SI ALP 7656 18.03 = 25 28 N/A grids1x1 estimate c 0.44 u Y U1 - good poor poor U1 U1 x U1 - noChange noInfo 2100 b 13.13
HR CON 1200 7.21 x >> N/A N/A 6 grids1x1 minimum c 1.42 x >> Unk U1 x poor poor poor U1 U2 x N/A N/A 1400 b 26.92
IT CON 5400 32.46 = > 70 700 N/A grids1x1 estimate c 91.34 = Y FV = good poor poor U1 U1 = XX knowledge knowledge 1500 b 28.85
SI CON 10038 60.33 = 29 32 N/A grids1x1 estimate c 7.24 u Y U1 - good poor poor U1 U1 x U1 - noChange noInfo 2300 b 44.23
FR MED 3200 6.73 x 30 30 N/A grids1x1 mean b 0.09 x N Y FV = unk unk good XX XX x XX knowledge noChange 2600 c 6.37
GR MED 41320 86.95 x x N/A N/A 34253 grids1x1 estimate b 99.89 x x Unk XX x unk unk unk XX XX XX noChange noChange 35600 b 87.25
HR MED 3000 6.31 x >> N/A N/A 9 grids1x1 minimum c 0.03 x >> N Unk U1 x poor poor poor U1 U2 x N/A N/A 2600 b 6.37
FR CON 1000 0 x 2 2 N/A grids1x1 mean c 0 x x Unk Unk XX x unk unk good XX XX x N/A N/A knowledge noChange 600 c 0
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 Region Surface Status
Range
Trend FRR Min Max Best value Unit Status
Population
Trend FRP Unit Status
Hab. for
species
Trend Range
prosp.
Population
prosp.
Hab. for sp.
prosp.
Status
Future
prosp.
Curr. CS Curr. CS
trend
2012 CS 2012 CS
trend
Status
Nat. of ch.
CS trend
Nat. of ch.
2001-06 status
with
backcasting
Target 1
EU28 ALP 2XR + x grids1x1 2XR = > 2XR x poor poor poor 2XR MTX x XX x nong nong XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XR = > grids1x1 2XR = > 2XR - good poor poor 2XR MTX = U1 - nc nc U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 0EQ x x grids1x1 0EQ x x 0EQ x unk unk unk 0EQ MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
The current dataset is readonly, so you cannot add a conclusion.

Legal notice: A minimum amount of personal data (including cases of submitted comments during the public consultation) is stored in the web tool. These data are necessary for the functioning of the tool and are only accessible to tool administrators.

The distribution data for France (2013 – 2018 reporting) were corrected after the official submission of the Article 17 reports by France. The maps displayed via this web tool take into account these corrections, while the values under Distribution area (km2) used for the EU biogeographical assessment are based on the original Article 17 report submitted by France. More details are provided in the feedback part of the reporting envelope on CDR.