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Article 17 > Species summary

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 nilssonii, 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 283 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
DE 2494 2494 2494 grids1x1 estimate N/A N/A N/A localities N/A
FI 1 100 N/A grids1x1 estimate N/A N/A N/A N/A
FR 2000 3000 N/A grids1x1 mean N/A N/A N/A mean
IT 1000 25000 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 2000 grids1x1 minimum N/A N/A N/A N/A
RO 100 500 N/A grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 19 grids1x1 estimate N/A N/A N/A N/A
SK 883 883 N/A grids1x1 estimate 1000 5000 N/A i N/A
DE 429 429 429 grids1x1 estimate 7 7 7 localities estimate
EE N/A N/A 1448 grids1x1 minimum N/A N/A N/A N/A
FI 2146 279800 N/A grids1x1 estimate N/A N/A N/A N/A
LT N/A N/A 845 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 64589 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 467 grids1x1 estimate 800000 2400000 1600000 i estimate
AT 96 N/A N/A grids1x1 minimum N/A N/A N/A N/A
CZ 2047 2047 N/A grids1x1 estimate N/A N/A N/A N/A
DE 40790 40790 40790 grids1x1 estimate 102 121 111.50 localities estimate
DK N/A N/A N/A N/A N/A 8 localities N/A
FR 1800 2000 N/A grids1x1 mean N/A N/A N/A mean
PL N/A N/A 7400 grids1x1 minimum N/A N/A N/A N/A
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 174 grids1x1 estimate 37500 112500 75000 i estimate
SI N/A N/A 6 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 3 grids1x1 estimate N/A N/A N/A i estimate
FR N/A N/A N/A mean N/A N/A N/A mean
NL N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
LU N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A mean N/A N/A N/A 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 21700 21.53 = ≈ 283 N/A N/A grids1x1 minimum b 1.31 x x Y FV = good unk good FV FV = U1 = method noChange 15700 b 33.05
BG ALP 9400 9.33 u x N/A N/A 13 grids1x1 minimum b 0.06 u 1 grids1x1 Y FV = unk unk unk XX XX x XX method method 900 b 1.89
DE ALP 3923 3.89 = ≈ 2494 2494 2494 grids1x1 estimate c 11.58 x x localities Y FV = good unk good FV FV = FV noChange noChange 2700 c 5.68
FI ALP 100 0.10 x x 1 100 N/A grids1x1 estimate c 0.23 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 a 0.21
FR ALP 7100 7.05 + ≈ 2000 3000 N/A grids1x1 mean c 11.60 x x Unk Y XX = good unk unk XX XX = XX knowledge noChange 2800 b 5.89
IT ALP 22300 22.13 = ≈ 1000 25000 N/A grids1x1 estimate c 60.35 = ≈ Y FV = good good poor U1 U1 = FV noChange noChange 6200 c 13.05
PL ALP 5200 5.16 x ≈ N/A N/A 2000 grids1x1 minimum b 9.28 x ≈ Y FV = good good good FV FV x FV noChange noChange 1800 b 3.79
RO ALP 7700 7.64 = ≈ 100 500 N/A grids1x1 minimum b 1.39 = ≈ Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 2500 b 5.26
SI ALP 7156 7.10 = ≈ N/A N/A 19 grids1x1 estimate c 0.09 x x Unk XX x good unk unk XX XX XX noChange noChange 1100 b 2.32
SK ALP 16196.30 16.07 = ≈ 883 883 N/A grids1x1 estimate c 4.10 + ≈ Y FV x good good good FV FV = XX knowledge N/A 13700 b 28.84
DE ATL 1660 100 u x 429 429 429 grids1x1 estimate b 100 u x localities Unk XX u unk unk unk XX XX x XX noChange noChange 500 c 100
EE BOR 52000 6.18 + ≈ N/A N/A 1448 grids1x1 minimum b 0.70 = ≈ Y FV = good good good FV FV + FV noChange noChange 30300 a 11.57
FI BOR 279800 33.25 = ≈ 2146 279800 N/A grids1x1 estimate b 67.67 = ≈ Y FV = good good good FV FV = FV noChange noChange 58800 a 22.45
LT BOR 65200 7.75 x ≈ N/A N/A 845 grids1x1 minimum c 0.41 + ≈ Unk XX x good unk unk XX XX U1 x noChange noChange 30300 b 11.57
LV BOR 64589 7.67 = ≈ N/A N/A 64589 grids1x1 estimate b 31 = 64589 grids1x1 Y FV = good good good FV FV = FV noChange noChange 23900 b 9.13
SE BOR 380000 45.15 = 380000 N/A N/A 467 grids1x1 estimate c 0.22 = 1600000 i Y FV = good good good FV FV = FV noChange noChange 118600 b 45.28
AT CON 8300 3.11 = ≈ 96 N/A N/A grids1x1 minimum b 0.18 x x Y FV = good unk good FV FV = U1 = method noChange 6500 b 5.89
CZ CON 69800 26.13 = ≈ 2047 2047 N/A grids1x1 estimate a 3.88 = > Y FV = good poor good XX U1 = U1 = noChange noChange 31800 a 28.83
DE CON 125001 46.79 = ≈ 40790 40790 40790 grids1x1 estimate b 77.23 - > localities Y U1 - good unk poor U1 U1 - U1 x noChange method 43900 c 39.80
DK CON 360 0.13 + > N/A N/A N/A b 0 + > Unk Y XX u unk unk unk XX U1 + XX N/A N/A 600 b 0.54
FR CON 4000 1.50 x ≈ 1800 2000 N/A grids1x1 mean b 3.60 x x N Unk XX = good unk poor U1 U1 x XX knowledge noChange 2000 b 1.81
PL CON 20000 7.49 x ≈ N/A N/A 7400 grids1x1 minimum b 14.01 x x Y FV = good good good FV FV x FV noChange noChange 7200 b 6.53
RO CON 8700 3.26 = ≈ 300 500 N/A grids1x1 minimum b 0.76 = ≈ Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 3300 b 2.99
SE CON 24900 9.32 = 24900 N/A N/A 174 grids1x1 estimate c 0.33 = 75000 i Y FV = good good good FV FV = FV noChange noChange 14800 b 13.42
SI CON 6085 2.28 = ≈ N/A N/A 6 grids1x1 estimate c 0.01 x x Unk XX x good unk unk XX XX XX noChange noChange 200 b 0.18
HU PAN 199 100 x x N/A N/A 3 grids1x1 minimum c 100 x x Unk U1 x unk poor poor U1 U1 x XX knowledge noChange 300 c 100
HR ALP 7600 0 x ≈ N/A N/A 5 grids1x1 minimum b 0 x x Unk XX x unk unk poor XX XX N/A N/A 7500 b 0
SE ALP 6700 0 x 6700 N/A N/A 3 grids1x1 estimate c 0 = N/ XX N unk unk unk XX XX FV N/A N/A 1600 b 0
FR ATL N/A 0 x x N/A N/A N/A mean d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A b 0
NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
LU CON N/A 0 x x N/A N/A N/A d 0 x x Unk U1 x unk unk unk XX U1 x U1 x noChange noChange N/A d 0
FR MED 600 0 x x N/A N/A N/A mean d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 200 b 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 2XP = ≈ grids1x1 2XP = x 2XP = good unk poor 2XP MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 0MS x x grids1x1 0MS x x localities 0MS x unk unk unk 0MS MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 0EQ = ≈ grids1x1 0EQ = ≈ 0EQ = good good good 0EQ MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution: -

Member State:

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

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 0MS x x 0MS x x 0MS x unk unk unk 0MS MTX x x nong nong D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 0MS x x grids1x1 0MS x x 0MS x unk poor poor 0MS MTX x XX nong nc XX D

03/20

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.