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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, Nyctalus noctula, Continental. Annexes N, Y-HTL, 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 597 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 113 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 374 grids1x1 minimum N/A N/A N/A N/A
CZ 6095 6095 N/A grids1x1 estimate N/A N/A N/A N/A
DE 161975 161975 161975 grids1x1 estimate 2716 2738 2727 grids5x5 estimate
DK N/A N/A N/A N/A N/A 114 localities N/A
FR 278000 304000 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 94 grids1x1 minimum N/A N/A N/A N/A
IT 650 6500 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 2300 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 27700 grids1x1 minimum 50000 75000 N/A i estimate
RO 5000 10000 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 588 grids1x1 estimate 5000 15000 10000 i estimate
SI 39 44 N/A grids1x1 estimate N/A N/A N/A N/A
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 22300 2.31 = 597 N/A N/A grids1x1 minimum b 0.12 x > Y FV = good poor poor U1 U1 = U1 x noChange knowledge 16300 b 3.98
BE 13600 1.41 = N/A N/A 113 grids1x1 estimate a 0.02 x >> Unk XX x good poor poor U1 U2 x XX knowledge noChange 5300 b 1.29
BG 76200 7.89 = 76200 N/A N/A 374 grids1x1 minimum b 0.07 = 374 grids1x1 Y FV = good good good FV FV = U1 - method method 13400 b 3.27
CZ 82200 8.51 = 6095 6095 N/A grids1x1 estimate a 1.21 = Y FV = good good good FV FV = FV noChange noChange 55500 a 13.54
DE 286982 29.71 = 286982 161975 161975 161975 grids1x1 estimate b 32.27 - > grids5x5 N Unk U1 - good unk poor U1 U1 - U1 - noChange noChange 172600 c 42.11
DK 27402 2.84 + N/A N/A N/A d 0 + x Y FV = good unk good FV FV + FV N/A N/A 11700 b 2.85
FR 75300 7.80 = 278000 304000 N/A grids1x1 mean b 57.97 - Y Y FV = good bad poor U2 U2 - FV knowledge noChange 29100 b 7.10
HR 37000 3.83 x N/A N/A 94 grids1x1 minimum c 0.02 x >> N Unk XX x good unk poor U1 U2 x N/A N/A 35800 b 8.73
IT 51100 5.29 = 650 6500 N/A grids1x1 estimate c 0.71 = Y FV = good good good FV FV = FV noChange noChange 12600 b 3.07
LU 4000 0.41 x N/A N/A 2300 grids1x1 estimate c 0.46 - >> N N U1 - good bad poor U2 U2 - U2 - noChange genuine 3300 c 0.81
PL 222400 23.03 = N/A N/A 27700 grids1x1 minimum b 5.52 + x Y FV = good good good FV FV + FV noChange knowledge 27400 b 6.68
RO 29600 3.06 + 5000 10000 N/A grids1x1 minimum b 1.49 + Y FV + good good good FV FV + U1 = knowledge knowledge 10300 b 2.51
SE 25100 2.60 = 25100 N/A N/A 588 grids1x1 estimate c 0.12 = 10000 i Y FV = good good good FV FV = FV noChange noChange 14000 b 3.42
SI 12616 1.31 = 12616 39 44 N/A grids1x1 estimate c 0.01 - > Y U1 - good poor poor U1 U1 - U1 x noChange knowledge 2600 c 0.63
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 2XR = 2XR - > 2XR - good unk poor 2XR MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
BG 2XP 2XP 2XP MTX U1 = U1 0/2

04/20

Green Balkans Federation

Institution: Green Balkans Federation

Member State: BG

Green Balkans Federation
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.