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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, Myotis mystacinus, All bioregions. Annexes IV. 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 351 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
DE 907 907 907 grids1x1 estimate 15 15 15 grids5x5 estimate
ES 30 3000 N/A grids1x1 minimum 21 N/A N/A localities minimum
FR 7300 9500 N/A grids1x1 mean N/A N/A N/A mean
IT 380 3800 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 6600 grids1x1 minimum 10000 20000 N/A i estimate
RO 150 300 N/A grids1x1 minimum N/A N/A N/A N/A
SI 32 39 N/A grids1x1 estimate N/A N/A N/A N/A
SK 241 241 N/A grids1x1 estimate 1673 8557 N/A i N/A
BE N/A N/A 362 grids1x1 estimate N/A N/A N/A N/A
DE 6025 6025 6025 grids1x1 estimate 134 136 135 grids5x5 estimate
ES 29 2900 N/A grids1x1 minimum 45 N/A N/A localities minimum
FR 53700 53700 N/A grids1x1 mean 10000 15000 N/A mean
IE N/A N/A 185 grids1x1 minimum N/A N/A 270 grids10x10 minimum
NL N/A N/A 232 grids1x1 estimate 1000 6000 3500 i estimate
UK N/A N/A 2834 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 50 grids1x1 minimum N/A N/A N/A N/A
FI 83 63000 N/A grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 22310 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 293 grids1x1 estimate 60000 180000 120000 i estimate
AT 282 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 256 grids1x1 minimum 2680 6700 N/A iwintering estimate
BG N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
CZ 3148 3148 N/A grids1x1 estimate N/A N/A N/A N/A
DE 60422 60422 60422 grids1x1 estimate 883 907 895 grids5x5 estimate
DK N/A N/A N/A N/A N/A 1 localities N/A
FR 35700 35700 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 26 grids1x1 minimum N/A N/A N/A N/A
IT 330 3300 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1900 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 8900 grids1x1 minimum N/A N/A N/A i N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A minimum
SE N/A N/A 74 grids1x1 estimate 5000 15000 10000 i estimate
SI 38 45 N/A grids1x1 mean N/A N/A N/A N/A
ES 54 5400 N/A grids1x1 minimum 32 N/A N/A localities minimum
FR 6700 6700 N/A grids1x1 mean N/A N/A N/A mean
IT 220 2200 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 19 grids1x1 minimum N/A N/A N/A N/A
CZ 79 79 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 53 grids1x1 estimate N/A N/A N/A N/A
SK 22 22 N/A grids1x1 estimate 7 29 N/A i N/A
HR N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
HR N/A N/A 18 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 29900 20.65 = 351 N/A N/A grids1x1 minimum b 1.72 x x Y FV = good good good FV FV = FV noChange noChange 21600 b 29.39
BG ALP 16200 11.19 = 16200 N/A N/A 18 grids1x1 minimum b 0.09 = 18 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 12100 b 16.46
DE ALP 3776 2.61 = 907 907 907 grids1x1 estimate b 4.45 x x grids5x5 Y FV = good unk good FV FV = FV noChange noChange 2600 c 3.54
ES ALP 12100 8.36 = > 30 3000 N/A grids1x1 minimum b 7.43 x 21 localities Y U1 x unk unk good XX U1 = U1 = noChange noChange 2900 a 3.95
FR ALP 11800 8.15 = 7300 9500 N/A grids1x1 mean d 41.21 = Y Y FV = good good good FV FV = FV noChange noChange 8300 b 11.29
IT ALP 39600 27.35 = 380 3800 N/A grids1x1 estimate c 10.25 = Y FV = good good good FV FV = FV noChange noChange 8800 b 11.97
PL ALP 10300 7.11 = N/A N/A 6600 grids1x1 minimum b 32.38 = x Y FV = good good good FV FV = FV noChange noChange 2400 b 3.27
RO ALP 2500 1.73 = 150 300 N/A grids1x1 minimum b 1.10 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1000 b 1.36
SI ALP 7656 5.29 = 7656 32 39 N/A grids1x1 estimate c 0.17 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 2300 b 3.13
SK ALP 10971.13 7.58 = 241 241 N/A grids1x1 estimate c 1.18 = Y FV x good good good FV FV = XX knowledge knowledge 11500 b 15.65
BE ATL 18400 5.08 = N/A N/A 362 grids1x1 estimate b 0.56 u x Unk XX x good unk unk XX XX FV method method 9900 b 4.73
DE ATL 42915 11.84 = 6025 6025 6025 grids1x1 estimate b 9.30 u grids5x5 Unk XX = unk unk unk XX XX = U1 + noInfo knowledge 11200 c 5.35
ES ATL 10000 2.76 + > 29 2900 N/A grids1x1 minimum b 2.26 x 45 localities Y FV x poor unk good XX U1 + U1 + noChange noChange 3100 a 1.48
FR ATL 77100 21.27 = 53700 53700 N/A grids1x1 mean c 82.87 + Y Y FV = good good good FV FV + FV noChange noChange 60500 b 28.89
IE ATL 27000 7.45 = 27000 N/A N/A 185 grids1x1 minimum b 0.29 = 270 grids10x10 Y FV = good good good FV FV = FV noChange noChange 12500 b 5.97
NL ATL 15200 4.19 = N/A N/A 232 grids1x1 estimate c 0.36 - x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 12100 b 5.78
UK ATL 171942 47.42 = 155969 N/A N/A 2834 grids1x1 minimum c 4.37 = x Y FV = good unk good FV FV = FV noChange noChange 100100 b 47.80
BG BLS 1800 100 = 1800 N/A N/A 3 grids1x1 minimum b 100 = 3 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 1200 b 100
EE BOR 1700 0.61 u > N/A N/A 50 grids1x1 minimum b 0.09 x x Unk XX x good good good FV XX XX knowledge knowledge 1200 a 4.65
FI BOR 63000 22.44 = 83 63000 N/A grids1x1 estimate b 58.20 x x Unk XX x good unk unk XX XX XX noChange noChange 6300 a 24.42
LV BOR 64589 23 x 64589 N/A N/A 22310 grids1x1 estimate c 41.17 x 22310 grids1x1 Y XX x good unk unk XX XX XX noChange noChange 100 d 0.39
SE BOR 151500 53.96 u 151500 N/A N/A 293 grids1x1 estimate c 0.54 u 120000 i Y FV = good good good FV FV x U2 - knowledge noChange 18200 b 70.54
AT CON 22900 4.12 = 282 N/A N/A grids1x1 minimum b 0.25 x x Y FV = good good good FV FV = FV noChange noChange 15600 b 5.83
BE CON 11900 2.14 = N/A N/A 256 grids1x1 minimum b 0.23 + Y FV x good good unk FV FV = FV noChange genuine 5500 b 2.05
BG CON 29900 5.37 = 29900 N/A N/A 12 grids1x1 minimum b 0.01 = 12 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 22100 b 8.25
CZ CON 78800 14.16 = 3148 3148 N/A grids1x1 estimate a 2.79 = > Y FV = good poor good FV U1 = U1 = noChange noChange 39400 a 14.71
DE CON 254136 45.68 = 60422 60422 60422 grids1x1 estimate b 53.49 - grids5x5 Unk U1 - good unk poor U1 U1 - FV genuine genuine 113700 c 42.46
DK CON 100 0.02 u > N/A N/A N/A d 0 u > N Unk XX u poor unk unk XX U1 x FV N/A N/A 100 b 0.04
FR CON 52500 9.44 = 35700 35700 N/A grids1x1 mean c 31.61 + Y Y FV = good good good FV FV + FV noChange noChange 37300 b 13.93
HR CON 8200 1.47 x >> N/A N/A 26 grids1x1 minimum c 0.02 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 8200 b 3.06
IT CON 28300 5.09 = 330 3300 N/A grids1x1 estimate c 1.61 = Y FV + good good good FV FV + FV noChange noChange 5600 b 2.09
LU CON 4000 0.72 x N/A N/A 1900 grids1x1 estimate c 1.68 x x Y U1 - good unk poor U1 U1 x XX method noChange 3100 b 1.16
PL CON 25100 4.51 = N/A N/A 8900 grids1x1 minimum b 7.88 = x Y FV = good good good FV FV = FV noChange noChange 8500 b 3.17
RO CON 2800 0.50 = 250 500 N/A grids1x1 minimum b 0.33 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1200 b 0.45
SE CON 25100 4.51 u 25100 N/A N/A 74 grids1x1 estimate c 0.07 u 10000 i Unk Unk XX x unk unk unk XX U1 x U2 - knowledge noChange 4400 b 1.64
SI CON 12616 2.27 = 12616 38 45 N/A grids1x1 mean c 0.04 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 3100 b 1.16
ES MED 18400 38.25 + > 54 5400 N/A grids1x1 minimum b 25.59 x 32 localities Unk XX x unk unk unk XX U1 = U1 + noChange knowledge 4900 a 31.01
FR MED 8600 17.88 x x 6700 6700 N/A grids1x1 mean d 62.88 x x Unk Unk XX = unk unk poor XX XX x XX noChange noChange 5300 b 33.54
IT MED 17300 35.97 = 220 2200 N/A grids1x1 estimate c 11.36 = Y FV = good good good FV FV = FV noChange noChange 4200 b 26.58
PT MED 3800 7.90 = 3800 N/A N/A 19 grids1x1 minimum b 0.18 x x Unk XX x good unk unk XX XX U2 x knowledge noChange 1400 b 8.86
CZ PAN 4900 11.04 = 79 79 N/A grids1x1 estimate a 51.30 = > Y FV = good poor good FV U1 = U1 = noChange noChange 1300 a 18.57
HU PAN 38313 86.34 = > N/A N/A 53 grids1x1 estimate c 34.42 u > Unk U2 x poor bad bad U2 U2 x U1 = knowledge knowledge 4300 c 61.43
SK PAN 1161 2.62 = 22 22 N/A grids1x1 estimate c 14.29 x Y FV x good good good FV U1 x XX knowledge N/A 1400 b 20
HR ALP 3000 0 x >> N/A N/A 18 grids1x1 minimum c 0 x >> N Unk U1 N unk unk poor XX U2 x N/A N/A 2500 b 0
PT ATL N/A 0 N N/ N/A N/A 2 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX XX N/A N/A 100 b 0
GR MED 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
HR MED 4300 0 x >> N/A N/A 18 grids1x1 minimum c 0 x >> Unk XX N unk unk unk XX U2 x N/A N/A 3700 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 144803.13 1 = 2GD x 2GD = 2GD MTX = U1 = nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 362557 1 = 63367 66238 64802.5 grids1x1 2GD + 2GD = 2GD MTX + FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 1800 0MS = 1800 3 grids1x1 0MS = 3 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 280789 1 x 2GD x 2GD x good 2GD MTX x U2 - nong nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 556352 1 2GD - 2GD - 2GD MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 48100 1 + 2GD x 2GD x 2GD MTX x XX x nong nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 44374 1 = < 48205.3 154 154 154 grids1x1 2XP x > 2XP x 2XP MTX x U1 = nong nong U1 D

02/20

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.