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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, Pipistrellus nathusii, 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 147 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
DE 2083 2083 2083 grids1x1 estimate 16 16 16 grids5x5 estimate
FR 500 2000 N/A grids1x1 estimate N/A N/A N/A estimate
IT 210 2100 N/A grids1x1 estimate N/A N/A N/A N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
SI 7 9 N/A grids1x1 estimate N/A N/A N/A N/A
SK 754 754 N/A grids1x1 estimate 408 2501 N/A i N/A
BE N/A N/A 768 grids1x1 estimate N/A N/A N/A N/A
DE 17701 17701 17701 grids1x1 minimum 389 410 399.50 grids5x5 minimum
DK N/A N/A N/A N/A N/A 36 localities N/A
FR 1000 10000 N/A grids1x1 minimum N/A N/A N/A minimum
IE N/A N/A 100 grids1x1 minimum 3000 5000 N/A i estimate
NL N/A N/A 3515 grids1x1 estimate 4000 400000 40000 i estimate
UK N/A N/A 793 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 663 grids1x1 minimum N/A N/A N/A N/A
FI 162 49600 N/A grids1x1 estimate N/A N/A N/A N/A
LT N/A N/A 1176 grids1x1 minimum 40000 50000 N/A i minimum
LV 45000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 424 grids1x1 estimate 20000 60000 40000 i estimate
AT 112 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 422 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 219 grids1x1 minimum N/A N/A N/A N/A
CZ 2062 2062 N/A grids1x1 estimate N/A N/A N/A N/A
DE 101978 101978 101978 grids1x1 estimate 1785 1870 1827.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A 117 localities N/A
FR 1000 20000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
IT 140 1400 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 28400 grids1x1 estimate N/A N/A N/A N/A
RO 800 1500 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 216 grids1x1 estimate 1500 4500 3000 i estimate
SI 16 18 N/A grids1x1 estimate N/A N/A N/A N/A
ES N/A N/A 1500 grids1x1 estimate N/A N/A 15 grids10x10 estimate
FR 1000 20000 N/A grids1x1 estimate 18054 31594 N/A i estimate
GR N/A N/A 60801 grids1x1 estimate 618 866 N/A grids5x5 estimate
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
IT 450 4500 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 386 386 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 277 grids1x1 minimum N/A N/A N/A N/A
SK 296 296 N/A grids1x1 estimate 17 438 N/A i N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 800 grids1x1 minimum N/A N/A N/A N/A
LU N/A N/A 1500 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 ALP 8200 10.11 = 147 N/A N/A grids1x1 minimum b 2.53 x > Y FV = good unk good FV U1 = U1 x noChange knowledge 6700 c 20.43
BG ALP 17500 21.57 = 17500 N/A N/A 30 grids1x1 minimum b 0.52 = 30 grids1x1 Y FV = good good good FV FV = FV noChange method 1500 b 4.57
DE ALP 3670 4.52 = 2083 2083 2083 grids1x1 estimate b 35.90 x x grids5x5 Y FV = good unk good FV FV = XX knowledge knowledge 2300 c 7.01
FR ALP 10200 12.57 x 500 2000 N/A grids1x1 estimate c 21.54 x < Y FV = unk unk unk XX XX x XX noChange noChange 4900 b 14.94
IT ALP 18700 23.05 = 210 2100 N/A grids1x1 estimate c 19.91 = Y FV = good good poor U1 U1 = FV knowledge noChange 5500 b 16.77
RO ALP 3500 4.31 = 250 500 N/A grids1x1 minimum b 6.46 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 1500 b 4.57
SI ALP 7656 9.44 = 7656 7 9 N/A grids1x1 estimate c 0.14 x x Y XX x good unk unk XX XX XX noChange noChange 600 c 1.83
SK ALP 11707.66 14.43 + 754 754 N/A grids1x1 estimate c 13 x Y FV x good good good FV FV x XX knowledge N/A 9800 b 29.88
BE ATL 21500 6.81 = N/A N/A 768 grids1x1 estimate b 2.71 + Y FV x good good good FV FV = XX method method 13700 a 7.91
DE ATL 70446 22.32 = 70446 17701 17701 17701 grids1x1 minimum b 62.38 = 399 grids5x5 Y FV = good unk unk XX FV = FV noChange noChange 30800 c 17.78
DK ATL 12698 4.02 = N/A N/A N/A d 0 + x Y FV = good unk good FV FV + FV N/A N/A 3100 b 1.79
FR ATL 56200 17.81 x 1000 10000 N/A grids1x1 minimum c 19.38 x < Y XX x unk bad unk U2 U2 x XX N/A knowledge 32100 b 18.53
IE ATL 15800 5.01 u x N/A N/A 100 grids1x1 minimum c 0.35 + x Y FV = unk unk good XX XX XX noChange noChange 7300 b 4.21
NL ATL 48700 15.43 = N/A N/A 3515 grids1x1 estimate b 12.39 x Y FV = good poor good U1 U1 = FV knowledge method 44700 b 25.81
UK ATL 90231 28.59 + 90231 N/A N/A 793 grids1x1 minimum b 2.79 x x Unk Unk XX x good unk unk XX XX XX noChange noChange 41500 b 23.96
BG BLS 3600 100 - 3600 N/A N/A 6 grids1x1 minimum b 100 = 6 grids1x1 Y FV = poor poor poor U1 U1 - U1 - noChange method 600 b 100
EE BOR 46900 14.96 + N/A N/A 663 grids1x1 minimum b 0.81 = Y FV = good good good FV FV + FV noChange noChange 18900 a 18.03
FI BOR 49600 15.82 = x 162 49600 N/A grids1x1 estimate c 30.37 x x Unk XX x good unk unk XX XX XX noChange noChange 10200 a 9.73
LT BOR 65200 20.80 = N/A N/A 1176 grids1x1 minimum c 1.44 = Y FV = good good good FV FV = FV noChange noChange 36600 b 34.92
LV BOR 64589 20.60 = 64589 45000 64589 N/A grids1x1 estimate b 66.87 + 64589 grids1x1 Y U1 - good good poor U1 U1 = U1 x noChange noChange 15400 b 14.69
SE BOR 87200 27.82 = 87200 N/A N/A 424 grids1x1 estimate c 0.52 + 40000 i Y FV = good good good FV FV + U1 N/A genuine genuine 23700 b 22.61
AT CON 7400 0.98 = 112 N/A N/A grids1x1 minimum b 0.08 x Y FV = good unk poor U1 U1 = FV genuine knowledge 5400 c 1.94
BE CON 14100 1.87 = N/A N/A 422 grids1x1 minimum b 0.29 x Y FV x good unk poor U1 U1 x XX knowledge noChange 9700 a 3.48
BG CON 66400 8.81 = 66400 N/A N/A 219 grids1x1 minimum b 0.15 = 219 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 8900 b 3.19
CZ CON 69300 9.20 + 2062 2062 N/A grids1x1 estimate a 1.41 = 2062 grids1x1 Y FV = good good good FV FV + FV noChange noChange 22100 a 7.93
DE CON 286197 37.99 = 286197 101978 101978 101978 grids1x1 estimate b 69.91 x grids5x5 N Y U1 x good unk poor U1 U1 x U1 = noChange knowledge 136600 c 49
DK CON 27504 3.65 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 11500 b 4.12
FR CON 44500 5.91 x 1000 20000 N/A grids1x1 estimate b 7.20 x < Y FV = unk poor unk U1 U1 x XX genuine genuine 21200 b 7.60
HR CON 8200 1.09 x >> N/A N/A 17 grids1x1 minimum c 0.01 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 8100 b 2.91
IT CON 39700 5.27 = 140 1400 N/A grids1x1 estimate c 0.53 = Y FV = good good poor U1 U1 = FV knowledge noChange 9300 b 3.34
PL CON 142500 18.92 = N/A N/A 28400 grids1x1 estimate b 19.47 = x Y FV = good good good FV FV = FV noChange noChange 28200 b 10.11
RO CON 17100 2.27 = 800 1500 N/A grids1x1 minimum b 0.79 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 7500 b 2.69
SE CON 17800 2.36 = 17800 N/A N/A 216 grids1x1 estimate c 0.15 = 3000 i Y FV = good good good FV FV = U1 N/A genuine genuine 9200 b 3.30
SI CON 12616 1.67 = 12616 16 18 N/A grids1x1 estimate c 0.01 x x Y XX x good unk unk XX XX XX noChange noChange 1100 c 0.39
ES MED 101 0.07 x x N/A N/A 1500 grids1x1 estimate b 1.99 x 1500 grids1x1 Unk XX x Unk bad Unk U2 U2 x U1 + N/A N/A 300 a 0.34
FR MED 29600 19.64 x 1000 20000 N/A grids1x1 estimate a 13.95 x < Y XX x poor poor poor U1 U1 x U1 x noChange noChange 14100 b 15.77
GR MED 104547 69.35 = N/A N/A 60801 grids1x1 estimate b 80.76 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 65200 b 72.93
HR MED 7800 5.17 x >> N/A N/A 12 grids1x1 minimum c 0.02 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 7600 b 8.50
IT MED 8700 5.77 = 450 4500 N/A grids1x1 estimate c 3.29 = Y FV = good good poor U1 U1 = FV knowledge noChange 2200 b 2.46
CZ PAN 5800 5.65 = 386 386 N/A grids1x1 estimate a 40.25 = 386 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2300 a 12.99
HU PAN 93011 90.66 = N/A N/A 277 grids1x1 minimum c 28.88 x Y U1 - good poor poor U1 U1 x FV knowledge method 12000 b 67.80
SK PAN 3787.85 3.69 + 296 296 N/A grids1x1 estimate c 30.87 x Y FV x good good good FV FV x XX knowledge N/A 3400 b 19.21
RO STE 4700 100 = 250 500 N/A grids1x1 minimum b 100 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 1700 b 100
HR ALP 1400 0 x x N/A N/A 2 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 900 b 0
PL ALP 3200 0 x x N/A N/A 800 grids1x1 minimum b 0 x x Y FV = unk unk good XX XX XX noChange noChange 800 b 0
LU CON 3500 0 x x N/A N/A 1500 grids1x1 estimate c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 3000 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 2XP + x grids1x1 2XP x x 2XP = good unk poor 2XP MTX x XX = nong nong XX D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XR + grids1x1 2XR = x 2XR = good unk unk 2XR MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 0MS - x grids1x1 0MS = x 0MS = poor poor poor 0MS MTX = U1 - nc nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

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

02/20

EEA-ETC/BD

Institution: -

Member State:

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

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 0EQ = grids1x1 0EQ x x 0EQ x good poor poor 0EQ MTX = U1 x nc nc U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2XP = grids1x1 2XP x > 2XP - good poor poor 2XP MTX - FV = nong nong FV C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 0MS = grids1x1 0MS = 0MS = poor poor poor 0MS MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
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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.