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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.

Warning: The map does not show the distribution for sensitive species in LU

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

Sensitive spatial information for this species is not shown in the map.

Current selection: 2013-2018, Mammals, Lutra lutra, Alpine. Annexes Y, Y, N. Show all Mammals
Member States reports
MS 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 1555 N/A N/A grids1x1 minimum 850 1650 N/A adults minimum
BG N/A N/A 110 grids1x1 minimum N/A N/A N/A N/A
DE 65 65 65 grids1x1 estimate 12 12 12 grids5x5 estimate
ES 119 11900 N/A grids1x1 estimate N/A N/A N/A N/A
FI 100 10000 N/A grids1x1 estimate 70 200 N/A i N/A
FR 100 200 N/A grids1x1 mean 300 1200 N/A adults mean
HR N/A N/A 56 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 4663 grids1x1 estimate N/A N/A N/A N/A
RO 0.14 0.19 N/A grids1x1 mean N/A N/A N/A N/A
SE N/A N/A 140 grids1x1 estimate 160 240 200 i N/A
SI 21 22 N/A grids1x1 minimum N/A N/A N/A N/A
SK 1816 1816 N/A grids1x1 estimate 300 550 N/A i N/A
IT 100 114 N/A grids1x1 minimum 8 10 N/A i estimate
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 38900 15.10 + > 1555 N/A N/A grids1x1 minimum b 7.92 + Y FV = good unk good FV U1 + U1 + noChange noChange 33900 a 24.42
BG 25800 10.02 = 25800 N/A N/A 110 grids1x1 minimum b 0.56 = 110 grids1x1 Y FV = good good good FV FV = FV noChange method 16400 b 11.82
DE 1189 0.46 + > 65 65 65 grids1x1 estimate b 0.33 + > grids5x5 Y FV = poor poor good U1 U1 + XX knowledge noChange 1000 a 0.72
ES 16600 6.45 + 119 11900 N/A grids1x1 estimate b 30.60 + 119 grids1x1 Y FV = poor good good FV FV = FV genuine genuine 8000 a 5.76
FI 17900 6.95 = 100 10000 N/A grids1x1 estimate b 25.72 = Y FV = good good good FV FV = FV method method 9700 a 6.99
FR 15400 5.98 + > 100 200 N/A grids1x1 mean a 0.76 + > N Y U1 = good good unk U1 U1 + U2 + genuine noChange 9700 a 6.99
HR 7300 2.83 x > N/A N/A 56 grids1x1 minimum c 0.29 x x Unk XX x poor unk unk XX U1 x N/A N/A N/A a 0
PL 14100 5.47 = N/A N/A 4663 grids1x1 estimate c 23.75 = Y FV = good good good FV FV = FV noChange noChange 7500 b 5.40
RO 36100 14.02 = 0.14 0.19 N/A grids1x1 mean b 0 = 0.10 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 19100 b 13.76
SE 52500 20.38 + 50000 N/A N/A 140 grids1x1 estimate b 0.71 + 250 i Y FV = good good good FV U1 + U1 + noChange genuine 9600 b 6.92
SI 6785 2.63 = 21 22 N/A grids1x1 minimum c 0.11 x > Y U1 x good unk poor U1 U1 x U1 x noChange noChange 1200 c 0.86
SK 24976.59 9.70 + > 1816 1816 N/A grids1x1 estimate b 9.25 + Y FV = good good good FV U1 + U1 + N/A N/A 22700 b 16.35
IT 1100 0 + >> 100 114 N/A grids1x1 minimum b 0 + >> N Y FV = good good good FV U2 + U1 + noChange genuine 700 b 0
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 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 2XP + grids1x1 2XP = grids1x1 2XP = good good good 2XP MTX + U1 + nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
BG 2XP > i 2XP poor 2XP MTX U1 + U1 0/2

04/20

Bulgarian Biodiversity Foundation

Institution: Bulgarian Biodiversity Foundation

Member State: BG

Bulgarian Biodiversity Foundation
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.