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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 pygmaeus, 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 239 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
DE 663 663 663 grids1x1 estimate 5 5 5 grids5x5 estimate
ES 37 3700 N/A grids1x1 estimate N/A N/A N/A N/A
FR 5000 13400 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
IT 155 1550 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 700 grids1x1 minimum N/A N/A N/A N/A
SI 25 33 N/A grids1x1 estimate N/A N/A N/A N/A
SK 155 155 N/A grids1x1 estimate 74 770 N/A i N/A
BE N/A N/A 41 grids1x1 estimate N/A N/A N/A N/A
DE 6141 6141 6141 grids1x1 minimum 153 192 172.50 grids5x5 minimum
DK N/A N/A N/A N/A N/A 15 localities N/A
ES 275 27500 N/A grids1x1 estimate N/A N/A N/A N/A
FR 9200 26800 N/A grids1x1 minimum N/A N/A N/A minimum
IE N/A N/A 3759 grids1x1 minimum 500000 1200000 N/A i estimate
PT N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 13687 grids1x1 minimum 2024000 8563000 N/A i interval
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 195 grids1x1 minimum N/A N/A N/A N/A
LV 25000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 2589 grids1x1 estimate 1550000 4650000 3100000 i estimate
AT 445 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 35 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 51 grids1x1 minimum N/A N/A N/A N/A
CZ 4780 4780 N/A grids1x1 estimate N/A N/A N/A N/A
DE 46874 46874 46874 grids1x1 estimate 1030 1055 1042.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A 129 localities N/A
FR 16000 48000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 90 grids1x1 minimum N/A N/A N/A N/A
IT 100 1000 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 8400 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 677 grids1x1 estimate 115000 345000 230000 i estimate
SI 100 108 N/A grids1x1 estimate N/A N/A N/A N/A
CY N/A N/A 13 grids1x1 estimate 20 300 N/A i estimate
ES 1470 147000 N/A grids1x1 estimate N/A N/A N/A N/A
FR 500000 1000000 N/A grids1x1 minimum 824602 2910360 N/A i minimum
GR N/A N/A 90236 grids1x1 estimate 503 1003 N/A grids5x5 estimate
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
IT 355 3550 N/A grids1x1 estimate N/A N/A N/A N/A
MT N/A N/A 63 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 639 grids1x1 minimum N/A N/A N/A N/A
CZ 1327 1327 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 847 grids1x1 minimum N/A N/A N/A N/A
SK 49 49 N/A grids1x1 estimate 13 923 N/A i N/A
EE N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A N/A 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 8800 13.80 = 239 N/A N/A grids1x1 minimum b 1.74 = Y FV = good good good FV FV = FV noChange noChange 7300 b 30.42
BG ALP 10900 17.10 = 10900 N/A N/A 14 grids1x1 minimum b 0.10 = 14 grids1x1 Y FV = unk unk unk XX FV - FV knowledge knowledge 1000 b 4.17
DE ALP 2223 3.49 = x 663 663 663 grids1x1 estimate b 4.83 x x grids5x5 Y XX u unk unk unk XX XX x XX noChange noChange 700 c 2.92
ES ALP 8200 12.86 = > 37 3700 N/A grids1x1 estimate b 13.61 x 3700 grids1x1 Y FV u poor unk good FV U1 = U1 + noChange knowledge 1900 a 7.92
FR ALP 4800 7.53 x x 5000 13400 N/A grids1x1 minimum c 67.03 x x Unk Unk XX x unk unk good XX XX x XX noChange noChange 3000 b 12.50
HR ALP 900 1.41 x >> N/A N/A 5 grids1x1 minimum c 0.04 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 700 b 2.92
IT ALP 16700 26.20 + > 155 1550 N/A grids1x1 estimate c 6.21 = > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 4200 b 17.50
PL ALP 1400 2.20 x x N/A N/A 700 grids1x1 minimum b 5.10 x x Y FV = unk unk good XX XX XX noChange noChange 700 b 2.92
SI ALP 7656 12.01 = 7656 25 33 N/A grids1x1 estimate c 0.21 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 2200 c 9.17
SK ALP 2167.33 3.40 + > 155 155 N/A grids1x1 estimate c 1.13 + Y FV x good good good FV FV = XX knowledge knowledge 2300 b 9.58
BE ATL 11700 2.68 + N/A N/A 41 grids1x1 estimate b 0.07 + x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 2800 b 0.91
DE ATL 52781 12.07 + 6141 6141 6141 grids1x1 minimum b 11.06 + x grids5x5 Unk XX + good unk unk XX XX + XX noChange knowledge 13300 c 4.33
DK ATL 8019 1.83 + N/A N/A N/A d 0 + > N Y U1 + good unk poor U1 U1 + U1 x N/A N/A 1500 b 0.49
ES ATL 50800 11.62 = > 275 27500 N/A grids1x1 estimate b 25.01 x 27500 grids1x1 Y FV u good good good FV U1 = U1 + noChange knowledge 25000 a 8.14
FR ATL 14300 3.27 x x 9200 26800 N/A grids1x1 minimum b 32.42 x x Unk Unk XX x good unk unk XX XX x XX noChange noChange 11900 b 3.87
IE ATL 79900 18.27 = 79900 N/A N/A 3759 grids1x1 minimum b 6.77 + 1000000 i Y FV = good good good FV FV + FV noChange noChange 70400 a 22.91
PT ATL 2500 0.57 = 4600 N/A N/A 6 grids1x1 minimum b 0.01 x 2500 grids1x1 Unk XX x good unk unk XX XX XX noChange knowledge 600 b 0.20
UK ATL 217326 49.69 = 217326 N/A N/A 13687 grids1x1 minimum a 24.65 = Y FV = good good good FV FV = FV noChange noChange 181800 a 59.16
BG BLS 7900 100 = 7900 N/A N/A 4 grids1x1 minimum b 100 = 4 grids1x1 Y FV = unk unk unk XX FV - FV knowledge knowledge 400 b 100
LT BOR 65200 25.63 x x N/A N/A 195 grids1x1 minimum c 0.41 x x Unk XX x unk unk unk XX XX XX noChange noChange 13000 b 14.67
LV BOR 64589 25.39 = 64589 25000 64589 N/A grids1x1 estimate b 94.15 x 64589 grids1x1 Y XX x good unk unk XX XX XX noChange noChange 4300 b 4.85
SE BOR 124600 48.98 = 124600 N/A N/A 2589 grids1x1 estimate c 5.44 = 3100000 i Y FV = good good good FV FV = FV noChange noChange 71300 b 80.47
AT CON 12200 2.27 = 445 N/A N/A grids1x1 minimum b 0.47 = Y FV = good good good FV FV = FV noChange noChange 10000 b 5.16
BE CON 9300 1.73 = N/A N/A 35 grids1x1 minimum c 0.04 x x Unk XX x good unk unk XX XX N/A N/A knowledge noChange 2300 b 1.19
BG CON 58800 10.94 = 58800 N/A N/A 51 grids1x1 minimum b 0.05 = 51 grids1x1 Y FV u poor poor poor U1 U1 = FV knowledge knowledge 3700 b 1.91
CZ CON 55200 10.27 + 4780 4780 N/A grids1x1 estimate a 5.08 + 4780 grids1x1 Y FV = good good good FV FV + FV noChange noChange 25200 a 13
DE CON 271805 50.58 = 271805 46874 46874 46874 grids1x1 estimate b 49.86 + grids5x5 Y FV = good unk good FV FV + U1 = knowledge knowledge 80600 c 41.57
DK CON 27151 5.05 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 12600 b 6.50
FR CON 15300 2.85 x 16000 48000 N/A grids1x1 minimum b 34.04 x < Y FV = good unk poor U1 U1 x XX knowledge noChange 10900 b 5.62
HR CON 20100 3.74 x > N/A N/A 90 grids1x1 minimum b 0.10 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 19300 b 9.95
IT CON 7200 1.34 = > 100 1000 N/A grids1x1 estimate c 0.59 = > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 2100 b 1.08
PL CON 22400 4.17 x N/A N/A 8400 grids1x1 estimate b 8.94 x x Y FV = good unk good FV FV x XX knowledge noChange 8400 b 4.33
SE CON 25300 4.71 = 25300 N/A N/A 677 grids1x1 estimate c 0.72 = 230000 i Y FV = good good good FV FV = FV noChange noChange 14300 b 7.37
SI CON 12616 2.35 = 12616 100 108 N/A grids1x1 estimate c 0.11 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 4500 c 2.32
CY MED 7315 1.34 x x N/A N/A 13 grids1x1 estimate b 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 9800 c 3.01
ES MED 277900 50.89 = > 1470 147000 N/A grids1x1 estimate b 8.09 x 147000 grids1x1 Y FV u good good good FV U1 = U1 + noChange knowledge 150500 a 46.26
FR MED 34100 6.25 = 500000 1000000 N/A grids1x1 minimum c 81.78 x < Y Y U1 - good unk poor U1 U1 x U1 x noChange noChange 25900 b 7.96
GR MED 113657 20.81 = N/A N/A 90236 grids1x1 estimate b 9.84 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 100100 b 30.77
HR MED 2200 0.40 x >> N/A N/A 9 grids1x1 minimum c 0 x x N Unk U1 x poor unk poor U1 U2 x N/A N/A 2000 b 0.61
IT MED 33500 6.14 = > 355 3550 N/A grids1x1 estimate c 0.21 = > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 9200 b 2.83
MT MED 63 0.01 = N/A N/A 63 grids1x1 estimate b 0.01 = Y FV = good good good FV FV = FV noChange knowledge 900 c 0.28
PT MED 77300 14.16 = 77300 N/A N/A 639 grids1x1 minimum b 0.07 x 77300 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 26900 b 8.27
CZ PAN 5500 18 + 5500 1327 1327 N/A grids1x1 estimate a 59.69 + 1327 grids1x1 Y FV = good good good FV FV + FV noChange noChange 2800 a 10.49
HU PAN 24327 79.62 = N/A N/A 847 grids1x1 minimum c 38.10 u Y FV = good good good FV FV = FV noChange method 23200 b 86.89
SK PAN 727.79 2.38 + > 49 49 N/A grids1x1 estimate c 2.20 + Y FV x good good good FV FV = XX knowledge knowledge 700 b 2.62
EE BOR 1300 0 + N/A N/A 12 grids1x1 minimum b 0 + x Y FV = good good good FV FV + FV noChange genuine 800 a 0
FI BOR 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 1300 a 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 2XR + > grids1x1 2XR x x 2XR x unk unk unk 2XR MTX = U1 x nc nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XR + grids1x1 2XR x x 2XR x good good unk 2XR MTX = FV + nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 0MS = grids1x1 0MS = x 0MS = unk unk unk 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 2XP = grids1x1 2XP x x 2XP x good unk unk 2XP MTX FV = nong nong FV D

12/19

EEA-ETC/BD

Institution: -

Member State:

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

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XR = > grids1x1 2XR x > 2XR x good poor poor 2XR MTX x XX x nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 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
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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.