Article 17 web tool

Log in

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, Eptesicus serotinus, 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 311 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 61 grids1x1 minimum N/A N/A N/A N/A
DE 569 569 569 grids1x1 estimate N/A N/A N/A localities N/A
ES 39 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 36400 36400 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
IT 335 6700 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 1800 grids1x1 minimum N/A N/A 10000 i minimum
RO 500 1500 N/A grids1x1 minimum N/A N/A N/A N/A
SI 44 59 N/A grids1x1 estimate N/A N/A N/A N/A
SK 1191 1191 N/A grids1x1 estimate 10000 20000 N/A i N/A
BE N/A N/A 884 grids1x1 estimate N/A N/A N/A N/A
DE 33278 33278 33278 grids1x1 estimate 164 218 191 localities estimate
DK N/A N/A N/A N/A N/A 34 localities N/A
ES 146 14600 N/A grids1x1 estimate N/A N/A N/A N/A
FR 74000 78800 N/A grids1x1 mean N/A N/A N/A mean
NL N/A N/A 4716 grids1x1 estimate 10000 40000 N/A i estimate
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 3920 grids1x1 minimum 7250 413000 N/A i interval
BG N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 628 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 220 grids1x1 estimate 2500 7500 5000 i estimate
AT 399 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 553 grids1x1 estimate 25 120 N/A iwintering estimate
BG N/A N/A 283 grids1x1 minimum N/A N/A N/A N/A
CZ 4323 4323 N/A grids1x1 estimate N/A N/A N/A N/A
DE 122035 122035 122035 grids1x1 estimate 1444 1505 1474.50 localities estimate
DK N/A N/A N/A N/A N/A 117 localities N/A
FR 197700 200000 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 52 grids1x1 minimum N/A N/A N/A N/A
IT 1300 26000 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 2200 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 38300 grids1x1 minimum N/A N/A 80000 i minimum
RO 2000 4000 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 82 grids1x1 estimate 1000 3000 2000 i N/A
SI 171 186 N/A grids1x1 estimate N/A N/A N/A N/A
CY N/A N/A 13 grids1x1 estimate 100 200 N/A i estimate
ES 588 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 77400 77400 N/A grids1x1 mean 17260 57533 N/A i mean
GR N/A N/A 110214 grids1x1 estimate 519 1019 N/A grids5x5 estimate
HR N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
IT 840 16800 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 123 grids1x1 minimum N/A N/A N/A N/A
CZ 342 342 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 448 grids1x1 minimum N/A N/A N/A N/A
SK 762 762 N/A grids1x1 estimate 10000 20000 N/A i N/A
RO 300 500 N/A 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 18800 10.41 = 311 N/A N/A grids1x1 minimum b 0.69 x x Y U1 = good poor poor U1 U1 = U1 - noChange knowledge 14300 b 20.34
BG ALP 23000 12.74 = 23000 N/A N/A 61 grids1x1 minimum b 0.14 = 61 grids1x1 Y FV = unk unk unk XX FV = FV method method 3100 b 4.41
DE ALP 2080 1.15 = 569 569 569 grids1x1 estimate c 1.27 x x localities Y XX u good unk unk XX XX x XX noChange noChange 700 c 1
ES ALP 8200 4.54 + 39 N/A N/A grids1x1 minimum a 0.09 = 39 grids1x1 Y FV = good poor good FV U1 = U1 = noChange noChange 2500 a 3.56
FR ALP 21100 11.69 = 36400 36400 N/A grids1x1 mean b 80.98 x x Y Unk XX = good unk poor U1 U1 = XX knowledge noChange 9500 b 13.51
HR ALP 4900 2.71 x >> N/A N/A 9 grids1x1 minimum b 0.02 x >> Unk XX x unk unk unk XX U2 x N/A N/A 3900 b 5.55
IT ALP 52300 28.97 = 335 6700 N/A grids1x1 estimate c 7.83 = Y FV = good good good FV FV = FV noChange noChange 9100 b 12.94
PL ALP 4900 2.71 = N/A N/A 1800 grids1x1 minimum c 4 = Y FV = good good good FV FV = FV noChange noChange 1600 b 2.28
RO ALP 15000 8.31 = 500 1500 N/A grids1x1 minimum b 2.22 = Y FV = good good good FV FV = U1 = knowledge knowledge 4400 b 6.26
SI ALP 7656 4.24 = 44 59 N/A grids1x1 estimate a 0.11 u > N Unk U2 - good poor bad U2 U2 x U1 - knowledge knowledge 3400 b 4.84
SK ALP 22626.58 12.53 = 1191 1191 N/A grids1x1 estimate b 2.65 + Y FV x good good good FV FV = XX knowledge N/A 17800 b 25.32
BE ATL 20900 5.02 = N/A N/A 884 grids1x1 estimate b 0.70 + Y FV = good good good FV FV + FV noChange noChange 15600 b 5.88
DE ATL 71511 17.17 = 71511 33278 33278 33278 grids1x1 estimate b 26.29 - 191 localities N Y U1 x poor poor poor U1 U1 - U1 - noChange noChange 39200 c 14.78
DK ATL 12246 2.94 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV = FV N/A N/A 2900 b 1.09
ES ATL 39700 9.53 = 146 14600 N/A grids1x1 estimate b 5.83 = 14600 grids1x1 Y FV = good poor good FV U1 = U1 x noChange knowledge 13900 a 5.24
FR ATL 132700 31.86 = 74000 78800 N/A grids1x1 mean c 60.36 - Y Y U1 - good poor poor U1 U1 - U1 = noChange noChange 81800 b 30.83
NL ATL 46500 11.16 x N/A N/A 4716 grids1x1 estimate c 3.73 x > Unk XX x poor poor poor U1 U1 x U1 + noChange noInfo 43200 b 16.28
PT ATL 2100 0.50 x 5100 N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x unk unk unk XX XX XX noChange knowledge 400 b 0.15
UK ATL 90873 21.82 + 90873 N/A N/A 3920 grids1x1 minimum b 3.10 = Y FV x good good good FV FV = FV noChange noChange 68300 b 25.74
BG BLS 8200 100 = 8200 N/A N/A 11 grids1x1 minimum b 100 = 11 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange method 800 b 100
LT BOR 65200 52.74 x N/A N/A 628 grids1x1 minimum c 73.80 x x Unk XX x good unk unk XX XX U1 x noInfo noInfo 25600 b 66.67
LV BOR 30 0.02 x 30 N/A N/A 3 grids1x1 minimum c 0.35 x 3 grids1x1 Y XX x good unk unk XX XX XX noChange noChange 300 d 0.78
SE BOR 58400 47.24 + 58400 N/A N/A 220 grids1x1 estimate c 25.85 + 5000 i Y FV = good poor unk U1 U1 + U2 x genuine genuine 12500 b 32.55
AT CON 23900 2.57 = 399 N/A N/A grids1x1 minimum b 0.10 - >> Y U1 = good poor poor U1 U2 - U1 - knowledge noChange 17200 b 4.07
BE CON 14600 1.57 = N/A N/A 553 grids1x1 estimate a 0.14 u Y FV = good good good FV FV x FV noChange noChange 11200 b 2.65
BG CON 77400 8.31 = 77400 N/A N/A 283 grids1x1 minimum b 0.07 = 283 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange method 12600 b 2.98
CZ CON 80300 8.62 = 4323 4323 N/A grids1x1 estimate a 1.13 = Y FV = good good good FV FV = FV noChange noChange 48700 a 11.52
DE CON 281140 30.19 = 122035 122035 122035 grids1x1 estimate b 31.79 - 1474 localities N Unk U1 - good poor poor U1 U1 - U1 - noChange noChange 152900 c 36.16
DK CON 25987 2.79 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 11100 b 2.62
FR CON 104400 11.21 = 197700 200000 N/A grids1x1 mean b 51.80 - Y Y U1 - good poor poor U1 U1 - U1 = noChange noChange 51400 b 12.15
HR CON 20200 2.17 x >> N/A N/A 52 grids1x1 minimum b 0.01 x >> Unk XX x unk unk poor XX U2 x N/A N/A 19400 b 4.59
IT CON 90400 9.71 = 1300 26000 N/A grids1x1 estimate c 3.56 = Y FV = good good good FV FV = FV noChange noChange 26600 b 6.29
LU CON 4000 0.43 = N/A N/A 2200 grids1x1 estimate b 0.57 x Y U1 - good unk poor U1 U1 x U1 - noChange noInfo 2800 c 0.66
PL CON 136900 14.70 = N/A N/A 38300 grids1x1 minimum c 9.98 = Y FV = good good good FV FV = FV noChange noChange 38200 b 9.03
RO CON 42900 4.61 = 2000 4000 N/A grids1x1 minimum b 0.78 = Y FV = good good good FV FV = U1 = knowledge knowledge 16700 b 3.95
SE CON 16600 1.78 + 16600 N/A N/A 82 grids1x1 estimate c 0.02 + 2000 i Y FV = good poor unk U1 U1 + U2 x genuine genuine 5900 b 1.40
SI CON 12616 1.35 = 12616 171 186 N/A grids1x1 estimate a 0.05 u > N Unk U2 - good poor bad U2 U2 x U1 - knowledge knowledge 8200 b 1.94
CY MED 7293 1.36 x N/A N/A 13 grids1x1 estimate b 0.01 x x Y FV = good unk good FV FV x XX knowledge noChange 5600 c 2.28
ES MED 235400 43.79 = 588 N/A N/A grids1x1 minimum a 0.30 = 588 grids1x1 Y FV = good poor good FV U1 = N/A N/A noChange noChange 62800 a 25.53
FR MED 47900 8.91 = 77400 77400 N/A grids1x1 mean b 39.26 x < Y Y U1 - good unk poor U1 U1 x U1 = noChange noChange 24800 b 10.08
GR MED 120709 22.45 x N/A N/A 110214 grids1x1 estimate b 55.90 x Unk XX x good good unk FV XX XX noChange noChange 121300 b 49.31
HR MED 6400 1.19 x >> N/A N/A 13 grids1x1 minimum b 0.01 x >> Unk XX x unk unk poor XX U2 x N/A N/A 5600 b 2.28
IT MED 97500 18.14 = 840 16800 N/A grids1x1 estimate c 4.47 = Y FV = good good good FV FV = FV noChange noChange 19300 b 7.85
PT MED 22400 4.17 x x N/A N/A 123 grids1x1 minimum b 0.06 x x Unk XX x unk unk unk XX XX N/A N/A noChange knowledge 6600 b 2.68
CZ PAN 5900 5.37 = 342 342 N/A grids1x1 estimate a 22.04 = Y FV = good good good FV FV = FV noChange noChange 2700 a 8.06
HU PAN 93011 84.69 = N/A N/A 448 grids1x1 minimum c 28.87 = Y FV = poor poor good U1 U1 = FV genuine method 21400 b 63.88
SK PAN 10911.61 9.94 = 762 762 N/A grids1x1 estimate b 49.10 + Y FV x good good good FV FV = XX knowledge N/A 9400 b 28.06
RO STE 3100 100 = 300 500 N/A grids1x1 minimum b 100 = Y FV = poor poor poor FV FV = U1 = knowledge knowledge 1500 b 100
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 400 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 STE 3100 0MS = 300 500 grids1x1 0MS = 0MS = poor poor poor 0MS MTX = U1 = nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ALP 180562.58 2GD = 2GD + 2GD = 2GD MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 416530 1 + ≈ 419530 2GD - 2GD x 2GD MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 8200 0MS = 8200 11 grids1x1 0MS = 11 grids1x1 0MS = unk unk unk 0MS MTX = U1 - nc nong U1 D

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 537602 2GD x 189191 205151 197171 grids1x1 2GD x 2GD x 2GD MTX x U1 x nong nc U1 E

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 109822.61 0EQ = 1552 1552 1552 grids1x1 0EQ + 0EQ x good good 2XP MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 123630 1 x ≈ 123630 851 2XP x 2XP x good 2XP MTX x U1 x nong nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 931343 2GD = 2GD - 2GD - 2GD MTX - U1 - nc nc XX C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 2XP 2XP 2XP MTX U1 - U1 0/2

04/20

Green Balkans Federation

Institution: Green Balkans Federation

Member State: BG

Green Balkans Federation
BG CON 2XP 2XP 2XP MTX U1 - XX 0/2

04/20

Green Balkans Federation

Institution: Green Balkans Federation

Member State: BG

Green Balkans Federation
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.