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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, Eptesicus serotinus, 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 399 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 553 grids1x1 estimate 25 120 N/A iwintering estimate
BG N/A N/A 283 grids1x1 minimum N/A N/A N/A N/A
CZ 4323 4323 N/A grids1x1 estimate N/A N/A N/A N/A
DE 122035 122035 122035 grids1x1 estimate 1444 1505 1474.50 localities estimate
DK N/A N/A N/A N/A N/A 117 localities N/A
FR 197700 200000 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 52 grids1x1 minimum N/A N/A N/A N/A
IT 1300 26000 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 2200 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 38300 grids1x1 minimum N/A N/A 80000 i minimum
RO 2000 4000 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 82 grids1x1 estimate 1000 3000 2000 i N/A
SI 171 186 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 23900 2.57 = 399 N/A N/A grids1x1 minimum b 0.10 - >> Y U1 = good poor poor U1 U2 - U1 - knowledge noChange 17200 b 4.07
BE 14600 1.57 = N/A N/A 553 grids1x1 estimate a 0.14 u Y FV = good good good FV FV x FV noChange noChange 11200 b 2.65
BG 77400 8.31 = 77400 N/A N/A 283 grids1x1 minimum b 0.07 = 283 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange method 12600 b 2.98
CZ 80300 8.62 = 4323 4323 N/A grids1x1 estimate a 1.13 = Y FV = good good good FV FV = FV noChange noChange 48700 a 11.52
DE 281140 30.19 = 122035 122035 122035 grids1x1 estimate b 31.79 - 1474 localities N Unk U1 - good poor poor U1 U1 - U1 - noChange noChange 152900 c 36.16
DK 25987 2.79 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 11100 b 2.62
FR 104400 11.21 = 197700 200000 N/A grids1x1 mean b 51.80 - Y Y U1 - good poor poor U1 U1 - U1 = noChange noChange 51400 b 12.15
HR 20200 2.17 x >> N/A N/A 52 grids1x1 minimum b 0.01 x >> Unk XX x unk unk poor XX U2 x N/A N/A 19400 b 4.59
IT 90400 9.71 = 1300 26000 N/A grids1x1 estimate c 3.56 = Y FV = good good good FV FV = FV noChange noChange 26600 b 6.29
LU 4000 0.43 = N/A N/A 2200 grids1x1 estimate b 0.57 x Y U1 - good unk poor U1 U1 x U1 - noChange noInfo 2800 c 0.66
PL 136900 14.70 = N/A N/A 38300 grids1x1 minimum c 9.98 = Y FV = good good good FV FV = FV noChange noChange 38200 b 9.03
RO 42900 4.61 = 2000 4000 N/A grids1x1 minimum b 0.78 = Y FV = good good good FV FV = U1 = knowledge knowledge 16700 b 3.95
SE 16600 1.78 + 16600 N/A N/A 82 grids1x1 estimate c 0.02 + 2000 i Y FV = good poor unk U1 U1 + U2 x genuine genuine 5900 b 1.40
SI 12616 1.35 = 12616 171 186 N/A grids1x1 estimate a 0.05 u > N Unk U2 - good poor bad U2 U2 x U1 - knowledge knowledge 8200 b 1.94
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 931343 2GD = 2GD - 2GD - 2GD MTX - U1 - nc nc XX C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
BG 2XP 2XP 2XP MTX U1 - XX 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.