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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 leisleri, 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 75 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 47 grids1x1 minimum N/A N/A N/A N/A
DE 483 483 483 grids1x1 estimate 6 6 6 grids5x5 estimate
ES 62 6200 N/A grids1x1 estimate N/A N/A N/A N/A
FR 10000 13000 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
IT 400 4000 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 800 grids1x1 minimum N/A N/A N/A N/A
SI 12 16 N/A grids1x1 estimate N/A N/A N/A N/A
SK 557 557 N/A grids1x1 estimate 1383 2586 N/A i N/A
BE N/A N/A 116 grids1x1 estimate N/A N/A N/A N/A
DE 10368 10368 10368 grids1x1 estimate 186 190 188 grids5x5 estimate
ES 99 9900 N/A grids1x1 estimate N/A N/A N/A N/A
FR 38000 43700 N/A grids1x1 mean N/A N/A N/A mean
IE N/A N/A 2445 grids1x1 minimum 63000 113000 N/A i estimate
NL N/A N/A 70 grids1x1 estimate 100 750 450 i estimate
PT N/A N/A 19 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 1138 grids1x1 minimum N/A N/A N/A estimate
BG N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 421 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 36 grids1x1 estimate 450 1350 900 i estimate
AT 30 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 282 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 246 grids1x1 minimum N/A N/A N/A N/A
CZ 925 925 N/A grids1x1 estimate N/A N/A N/A N/A
DE 74492 74492 74492 grids1x1 estimate 1226 1231 1228.50 grids5x5 estimate
FR 33000 36000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 27 grids1x1 minimum N/A N/A N/A N/A
IT 670 6700 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1700 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 4300 grids1x1 minimum N/A N/A N/A N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 11 grids1x1 estimate 150 450 300 i estimate
SI 19 23 N/A grids1x1 estimate N/A N/A N/A N/A
ES 27 2700 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A N/A grids10x10 N/A
CY N/A N/A 7 grids1x1 estimate 100 300 N/A i estimate
ES 273 27300 N/A grids1x1 estimate N/A N/A N/A N/A
FR 18000 21400 N/A grids1x1 minimum 9247 19651 N/A i minimum
GR N/A N/A 99050 grids1x1 estimate 883 1564 N/A grids5x5 N/A
HR N/A N/A 21 grids1x1 minimum N/A N/A N/A N/A
IT 570 5700 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 566 grids1x1 minimum N/A N/A N/A N/A
CZ 82 82 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 183 grids1x1 estimate N/A N/A N/A N/A
SK 382 382 N/A grids1x1 estimate 188 249 N/A i N/A
RO 25 60 N/A grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 2 localities 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 4000 2.92 = > 75 N/A N/A grids1x1 minimum b 0.40 x > Y FV = good unk good FV U1 = U1 x noChange knowledge 3200 b 5.62
BG ALP 12800 9.35 = 12800 N/A N/A 47 grids1x1 minimum b 0.25 = 47 grids1x1 Y FV = unk unk unk XX FV = FV knowledge knowledge 7600 b 13.36
DE ALP 3014 2.20 = x 483 483 483 grids1x1 estimate c 2.57 = x grids5x5 Y FV = unk unk good XX XX = XX noChange knowledge 600 b 1.05
ES ALP 14000 10.22 = 62 6200 N/A grids1x1 estimate b 16.64 = 6200 grids1x1 Y U1 + good good poor U1 U1 + U1 + knowledge knowledge 5100 a 8.96
FR ALP 26200 19.13 = 10000 13000 N/A grids1x1 mean c 61.11 x x Y Y FV = good unk good FV FV = FV noChange noChange 11100 b 19.51
HR ALP 9500 6.94 x > N/A N/A 12 grids1x1 minimum c 0.06 x >> Unk XX x unk unk poor XX U2 x N/A N/A 7200 b 12.65
IT ALP 48500 35.41 = 400 4000 N/A grids1x1 estimate c 11.69 = Y FV = good good poor U1 U1 = FV noChange noChange 10300 b 18.10
PL ALP 1700 1.24 x x N/A N/A 800 grids1x1 minimum c 4.25 x x Y FV = unk unk good XX XX XX noChange noChange 800 b 1.41
SI ALP 7656 5.59 = 7656 12 16 N/A grids1x1 estimate c 0.07 x x Y XX x good unk unk XX XX XX noChange noChange 1200 b 2.11
SK ALP 9585.93 7 + 557 557 N/A grids1x1 estimate c 2.96 x Y FV x good good good FV FV x XX knowledge N/A 9800 b 17.22
BE ATL 17100 4.70 + N/A N/A 116 grids1x1 estimate b 0.19 + > Unk XX x good poor unk U1 U1 = U2 x method knowledge 6300 b 3.30
DE ATL 46679 12.82 = 51704 10368 10368 10368 grids1x1 estimate b 17.28 = > grids5x5 Unk XX = poor unk unk XX U1 = U1 x noChange method 17300 b 9.07
ES ATL 20800 5.71 = 99 9900 N/A grids1x1 estimate b 8.33 = 9900 grids1x1 Y U1 = good good poor U1 U1 = U1 + knowledge knowledge 9400 a 4.93
FR ATL 99800 27.41 = 38000 43700 N/A grids1x1 mean c 68.08 - Y Y FV = good bad poor U2 U2 - FV knowledge noChange 44800 b 23.48
IE ATL 76200 20.93 = 76200 N/A N/A 2445 grids1x1 minimum b 4.07 + 63000 i Y FV = good good good FV FV + FV noChange noChange 61300 a 32.13
NL ATL 4700 1.29 + N/A N/A 70 grids1x1 estimate b 0.12 x x Unk XX x good unk unk XX XX U2 + method noInfo 4100 b 2.15
PT ATL 4600 1.26 = 5200 N/A N/A 19 grids1x1 minimum b 0.03 x x Unk XX x good unk unk XX XX XX noChange knowledge 1500 c 0.79
UK ATL 94224 25.88 = 83313 N/A N/A 1138 grids1x1 minimum c 1.90 x x Y FV = good unk good FV FV = FV noChange noChange 46100 b 24.16
BG BLS 5700 100 = 5700 N/A N/A 5 grids1x1 minimum b 100 = 5 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 4700 b 100
LT BOR 65200 85.01 = N/A N/A 421 grids1x1 minimum c 91.92 x x Unk XX x good unk unk XX XX XX noInfo noInfo 22500 b 86.54
LV BOR 1 0 x x N/A N/A 1 grids1x1 minimum c 0.22 x 1 grids1x1 Unk U1 x unk unk unk XX U1 x U1 x method noChange 100 d 0.38
SE BOR 11500 14.99 = 30000 N/A N/A 36 grids1x1 estimate c 7.86 u 1500 i N Unk U2 x bad unk unk U2 U2 x U2 x noChange noChange 3400 b 13.08
AT CON 1900 0.33 = > 30 N/A N/A grids1x1 minimum b 0.02 x > Y FV = good unk poor U1 U1 = U1 x noChange knowledge 1900 b 0.80
BE CON 13600 2.34 x N/A N/A 282 grids1x1 minimum b 0.23 x > Y FV x good poor poor U1 U1 x XX knowledge noChange 8400 b 3.56
BG CON 46200 7.95 = 46200 N/A N/A 246 grids1x1 minimum b 0.20 = 246 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 37500 b 15.88
CZ CON 42500 7.31 + > 925 925 N/A grids1x1 estimate a 0.77 + > Y FV = poor poor good FV U1 + U1 = noChange noChange 13900 a 5.88
DE CON 268488 46.19 = 268488 74492 74492 74492 grids1x1 estimate b 61.77 - > grids5x5 N Y U1 - good poor unk U1 U1 - U1 - noChange noChange 94300 b 39.92
FR CON 96700 16.64 = 33000 36000 N/A grids1x1 minimum b 28.61 - Y FV = good bad good U2 U2 - FV knowledge knowledge 34700 b 14.69
HR CON 22600 3.89 x > N/A N/A 27 grids1x1 minimum c 0.02 x >> Unk XX x unk unk unk XX U2 x N/A N/A 22400 b 9.48
IT CON 55700 9.58 = 670 6700 N/A grids1x1 estimate c 3.06 = N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 11300 b 4.78
LU CON 3500 0.60 = N/A N/A 1700 grids1x1 estimate c 1.41 x > N N U1 x good poor poor U1 U1 x U1 x noChange method 3200 c 1.35
PL CON 8400 1.45 x x N/A N/A 4300 grids1x1 minimum b 3.57 x x Y FV = unk unk good XX XX U1 x knowledge noChange 4300 b 1.82
RO CON 900 0.15 = 250 500 N/A grids1x1 minimum b 0.31 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 400 b 0.17
SE CON 8200 1.41 = 15000 N/A N/A 11 grids1x1 estimate c 0.01 u 1000 i N Unk U2 x bad unk unk U2 U2 x U2 x noChange noChange 2000 b 0.85
SI CON 12616 2.17 = 12616 19 23 N/A grids1x1 estimate c 0.02 x x Y XX x good unk unk XX XX XX noChange noChange 1900 b 0.80
ES MAC 3200 68.09 = 27 2700 N/A grids1x1 estimate b 100 = 2700 grids1x1 Y FV = good good poor U1 U1 = U1 + knowledge knowledge 2900 a 65.91
PT MAC 1500 31.91 = x N/A N/A N/A minimum d 0 x N/ Unk U1 = unk unk good XX U1 - U1 - N/A N/A 1500 c 34.09
CY MED 1241 0.30 x x N/A N/A 7 grids1x1 estimate b 0.01 x x Y FV = unk unk good XX XX XX noChange noChange 2400 c 1.10
ES MED 82100 19.79 = 273 27300 N/A grids1x1 estimate b 10.12 = 27300 grids1x1 Y FV + good good poor U1 U1 + U1 + knowledge knowledge 25800 a 11.87
FR MED 57900 13.96 = 18000 21400 N/A grids1x1 minimum c 14.46 = Y Y FV = good poor poor U1 U1 + FV noChange noChange 25200 b 11.60
GR MED 121011 29.18 = N/A N/A 99050 grids1x1 estimate b 72.69 x x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 107100 b 49.29
HR MED 23300 5.62 x N/A N/A 21 grids1x1 minimum c 0.02 x >> Unk XX x unk unk poor XX U2 x N/A N/A 21500 b 9.89
IT MED 68200 16.44 = 570 5700 N/A grids1x1 estimate c 2.30 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 13400 b 6.17
PT MED 61000 14.71 = 61000 N/A N/A 566 grids1x1 minimum b 0.42 x x Unk XX x good unk unk XX XX XX noChange knowledge 21900 c 10.08
CZ PAN 5300 19.83 = 82 82 N/A grids1x1 estimate a 12.67 + > Y FV = good poor good FV U1 + U1 = noChange noChange 1600 a 9.25
HU PAN 16876 63.14 u > N/A N/A 183 grids1x1 estimate c 28.28 u > Y U1 u unk poor unk XX U1 - U1 = noChange noInfo 10800 c 62.43
SK PAN 4550.23 17.03 + 382 382 N/A grids1x1 estimate c 59.04 x Y FV x good good good FV FV x XX knowledge N/A 4900 b 28.32
RO STE 100 100 = 25 60 N/A grids1x1 minimum c 100 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 100 b 100
DK CON 203 0 x x N/A N/A N/A d 0 x x N Y XX u unk unk unk XX XX XX N/A N/A 300 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 136955.93 1 = 2GD x 2GD = 2GD MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 364103 1 = 358817 2GD + 2GD = 2GD MTX + FV = nong nong FV B2

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 5700 0MS = 5700 5 grids1x1 0MS = 5 grids1x1 0MS = poor poor poor 0MS MTX = U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 76701 1 = 458 458 458 grids1x1 1 x x 2XP x 2XP MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 581304 2XP = 115952 125236 120594 grids1x1 2XP - 2XP - 2XP MTX - U1 - nong nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 4700 1 = 2GD x 2GD = 2GD MTX - U1 + nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 414752 1 = 118487 154044 136265.5 grids1x1 1 x x 2XP x 2XP MTX x XX = nong nc U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 26726.23 1 x < 27413.83 647 647 647 grids1x1 1 x < 408.5 2XP x 2XP MTX x U1 = nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 100 0MS = 25 60 0MS = 0MS = poor poor poor 0MS MTX = U1 = nc nc U1 D

02/20

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.