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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, Plecotus auritus, 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 90 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
DE 1986 1986 1986 grids1x1 estimate 20 20 20 grids5x5 estimate
ES 60 6000 N/A grids1x1 estimate N/A N/A N/A N/A
FR 6500 8300 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 21 grids1x1 minimum N/A N/A N/A N/A
IT 1000 11000 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 600 grids1x1 minimum N/A N/A N/A N/A
RO 100 300 N/A grids1x1 minimum N/A N/A N/A N/A
SI 19 22 N/A grids1x1 estimate N/A N/A N/A N/A
SK 343 343 N/A grids1x1 estimate 741 2102 N/A i N/A
BE N/A N/A 620 grids1x1 estimate N/A N/A N/A N/A
DE 17713 17713 17713 grids1x1 estimate 191 242 216.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A 1 localities N/A
ES 111 11100 N/A grids1x1 estimate N/A N/A N/A N/A
FR 41200 43800 N/A grids1x1 mean N/A N/A N/A mean
IE N/A N/A 571 grids1x1 minimum 62000 97000 N/A adults estimate
NL N/A N/A 1414 grids1x1 estimate 6000 16000 11000 i estimate
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 14482 grids1x1 minimum 97000 2245000 N/A i interval
BG N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 307 grids1x1 minimum N/A N/A N/A N/A
FI 244 72900 N/A grids1x1 estimate N/A N/A N/A N/A
LT N/A N/A 148 grids1x1 minimum N/A N/A N/A N/A
LV 44135 62364 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 1582 grids1x1 estimate 75000 225000 150000 i estimate
AT 54 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 350 grids1x1 minimum 200 550 N/A iwintering estimate
BG N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
CZ 4508 4508 N/A grids1x1 estimate N/A N/A N/A N/A
DE 162426 162426 162426 grids1x1 estimate 1758 1865 1811.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A 37 localities N/A
FR 64000 700000 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 32 grids1x1 minimum N/A N/A N/A N/A
IT 200 2000 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1400 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 32500 grids1x1 minimum N/A N/A N/A N/A
RO 250 400 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 216 grids1x1 estimate 3500 10500 7000 i estimate
SI 14 17 N/A grids1x1 estimate N/A N/A N/A N/A
ES 169 16900 N/A grids1x1 estimate N/A N/A N/A N/A
FR 4490 5000 N/A grids1x1 mean N/A N/A N/A mean
GR N/A N/A 18076 grids1x1 estimate 100 500 N/A grids5x5 estimate
IT 500 9000 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 71 grids1x1 minimum N/A N/A N/A N/A
CZ 128 128 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 170 grids1x1 minimum N/A N/A N/A N/A
SK 120 120 N/A grids1x1 estimate 102 103 N/A i N/A
RO 25 100 N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 4 grids1x1 minimum 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 8300 6.79 = 90 N/A N/A grids1x1 minimum b 0.46 = Y FV = good good good FV FV = FV noChange noChange 7000 b 10.13
BG ALP 21500 17.59 = 21500 N/A N/A 17 grids1x1 minimum c 0.09 u 1 grids1x1 Y FV = unk unk unk XX XX = FV noInfo noInfo 14200 b 20.55
DE ALP 3720 3.04 = 1986 1986 1986 grids1x1 estimate b 10.08 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 2200 c 3.18
ES ALP 15000 12.27 = > 60 6000 N/A grids1x1 estimate b 15.37 x 6000 grids1x1 Y FV = poor unk good XX U1 = U1 = noChange noChange 5400 a 7.81
FR ALP 9900 8.10 = 6500 8300 N/A grids1x1 mean b 37.55 = Y Y FV = good good good FV FV = XX knowledge noChange 7400 b 10.71
HR ALP 4100 3.35 x >> N/A N/A 21 grids1x1 minimum b 0.11 x >> Unk XX x unk unk poor XX U2 x N/A N/A 3600 b 5.21
IT ALP 36100 29.53 = 1000 11000 N/A grids1x1 estimate c 30.45 - > Y FV = good poor poor U1 U1 - FV knowledge knowledge 12900 b 18.67
PL ALP 1500 1.23 = N/A N/A 600 grids1x1 minimum c 3.04 x x Y FV x good unk good FV FV x FV noChange noChange 600 b 0.87
RO ALP 1700 1.39 = 100 300 N/A grids1x1 minimum b 1.01 = Y U1 = poor poor poor U1 U1 + U1 = knowledge knowledge 700 b 1.01
SI ALP 7615 6.23 = 19 22 N/A grids1x1 estimate c 0.10 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 1500 c 2.17
SK ALP 12805.17 10.48 = 343 343 N/A grids1x1 estimate c 1.74 = Y FV x good good good FV FV = XX knowledge knowledge 13600 b 19.68
BE ATL 21700 4.35 = N/A N/A 620 grids1x1 estimate b 0.75 + Y FV x good good good FV FV = FV noChange knowledge 15300 b 4.46
DE ATL 65707 13.16 = 17713 17713 17713 grids1x1 estimate c 21.36 + 216 grids5x5 Y FV = good unk unk XX FV + FV noChange knowledge 29400 c 8.57
DK ATL 113 0.02 u x N/A N/A N/A d 0 u x Unk Y XX u unk unk unk XX XX x FV N/A N/A 100 b 0.03
ES ATL 35900 7.19 x > 111 11100 N/A grids1x1 estimate b 6.76 x 11100 grids1x1 Y U1 - poor unk poor XX U1 x U1 x noChange noChange 11500 a 3.35
FR ATL 60700 12.16 = 41200 43800 N/A grids1x1 mean b 51.26 = Y Y XX = good good good FV XX = FV noChange noChange 46200 b 13.47
IE ATL 62200 12.46 = 62200 N/A N/A 571 grids1x1 minimum b 0.69 + 62000 adults Y FV = good good good FV FV + FV noChange noChange 34200 b 9.97
NL ATL 37400 7.49 = N/A N/A 1414 grids1x1 estimate b 1.71 + N N U1 = good good poor U1 U1 + U1 + noChange noChange 33500 b 9.77
PT ATL 1500 0.30 = 1500 N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 400 b 0.12
UK ATL 214049 42.87 = 214049 N/A N/A 14482 grids1x1 minimum a 17.47 = Y FV x good good good FV FV = FV noChange noChange 172300 a 50.25
BG BLS 700 100 = 700 N/A N/A 1 grids1x1 minimum c 100 u 1 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange noInfo 1300 b 100
EE BOR 41500 9.14 + N/A N/A 307 grids1x1 minimum b 0.33 = x Y FV = good good good FV FV + FV knowledge noChange 12800 a 10.52
FI BOR 72900 16.05 = 244 72900 N/A grids1x1 estimate c 39.81 x x Y FV = good unk good FV FV = FV noChange noChange 12600 a 10.35
LT BOR 65200 14.36 = N/A N/A 148 grids1x1 minimum b 0.16 = x Y FV x good good good FV FV = U1 = knowledge knowledge 11100 b 9.12
LV BOR 64589 14.22 = 64589 44135 62364 N/A grids1x1 estimate b 57.97 - 62364 grids1x1 Y XX x good poor unk U1 U1 x U1 - noChange noChange 16000 b 13.15
SE BOR 209900 46.22 = 209900 N/A N/A 1582 grids1x1 estimate c 1.72 = 150000 i Y FV = good good good FV FV = FV noChange noChange 69200 c 56.86
AT CON 4700 0.74 = 54 N/A N/A grids1x1 minimum c 0.01 x Y FV = good unk good FV FV = FV noChange noChange 3600 b 0.93
BE CON 14100 2.22 = N/A N/A 350 grids1x1 minimum a 0.06 + Y FV x good good good FV FV = FV noChange noChange 10100 b 2.62
BG CON 22900 3.61 = 22900 N/A N/A 11 grids1x1 minimum c 0 u 1 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange noInfo 16100 b 4.18
CZ CON 81400 12.82 = 4508 4508 N/A grids1x1 estimate a 0.77 = > Y FV = good poor good XX U1 = U1 = noChange noChange 54100 a 14.04
DE CON 289087 45.55 = 162426 162426 162426 grids1x1 estimate b 27.77 = grids5x5 Y FV = good good unk FV FV = FV noChange noChange 208500 c 54.10
DK CON 12014 1.89 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 4200 b 1.09
FR CON 38100 6 = 64000 700000 N/A grids1x1 mean b 65.31 u Y Y FV = good unk good FV FV = FV noChange noChange 26100 b 6.77
HR CON 8200 1.29 x >> N/A N/A 32 grids1x1 minimum b 0.01 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 8200 b 2.13
IT CON 32600 5.14 = 200 2000 N/A grids1x1 estimate c 0.19 = > N Y U1 - good poor poor U1 U1 - U1 - knowledge noChange 8100 b 2.10
LU CON 3800 0.60 = N/A N/A 1400 grids1x1 estimate c 0.24 - > N N U1 - good poor poor U1 U1 - U1 x noChange genuine 2800 c 0.73
PL CON 86600 13.64 = N/A N/A 32500 grids1x1 minimum c 5.56 - N Y U1 - good poor poor U1 U1 - FV genuine genuine 32300 b 8.38
RO CON 2500 0.39 = 250 400 N/A grids1x1 minimum b 0.06 = Y U1 = poor poor poor U1 U1 + U1 x knowledge knowledge 1100 b 0.29
SE CON 26100 4.11 = 26100 N/A N/A 216 grids1x1 estimate c 0.04 = 7000 i Y FV = good good good FV FV = FV noChange noChange 8900 c 2.31
SI CON 12616 1.99 = 12616 14 17 N/A grids1x1 estimate c 0 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 1300 c 0.34
ES MED 69600 50.34 = > 169 16900 N/A grids1x1 estimate b 23.59 x 16900 grids1x1 Y U1 u poor unk poor XX U1 x U1 x noChange noChange 16700 a 33.13
FR MED 7600 5.50 = 4490 5000 N/A grids1x1 mean b 13.12 x Y Unk FV = good unk poor U1 U1 = FV knowledge noChange 5500 b 10.91
GR MED 32862 23.77 x x N/A N/A 18076 grids1x1 estimate b 49.97 x x N Unk U1 x unk poor poor U1 U1 x U1 x noChange noChange 19300 b 38.29
IT MED 14100 10.20 = 500 9000 N/A grids1x1 estimate c 13.13 = > N N U1 - good poor poor U1 U1 - U1 - knowledge noChange 4300 b 8.53
PT MED 14100 10.20 = 14100 N/A N/A 71 grids1x1 minimum b 0.20 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 4600 b 9.13
CZ PAN 5800 14.03 = 128 128 N/A grids1x1 estimate a 30.62 = > Y FV = good poor good XX U1 = U1 = noChange noChange 1800 a 14.40
HU PAN 33559 81.19 u > N/A N/A 170 grids1x1 minimum c 40.67 u > Y U1 u unk unk poor XX U1 x U1 - noChange noInfo 8200 c 65.60
SK PAN 1976.45 4.78 = 120 120 N/A grids1x1 estimate c 28.71 = Y FV x good good good FV FV = XX knowledge knowledge 2500 b 20
RO STE 300 100 = 25 100 N/A grids1x1 minimum b 100 = Y U1 = poor poor poor U1 U1 + U1 x knowledge knowledge 200 b 100
HR MED 1800 0 x x N/A N/A 4 grids1x1 minimum c 0 x x Unk XX N unk unk unk XX XX N/A N/A 1000 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 122240 2GD = 2GD - 2GD = 2GD MTX - U1 = nong nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 499269 1 = 2GD + 2GD x 2GD MTX + U1 = nc nong U1 B1

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 700 0MS = 700 1 grids1x1 0MS x 1 grids1x1 0MS = poor poor poor 0MS MTX = U1 - nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 454089 0EQ = ≈ 454089 2GD = 2GD = 2GD MTX = U1 = nong nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 634717 1 = 2GD = 2GD = 2GD MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 138262 1 = < 145162 23306 49047 36176.5 2GD x 2GD x 2GD MTX x U1 x nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 41335.45 1 x < 44691.35 418 418 418 grids1x1 1 x < 447.8 grids1x1 2XP x 2XP MTX x U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 300 0MS = 25 100 grids1x1 0MS = 0MS = poor poor poor 0MS MTX + U1 x nc nong U1 B2

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.