Article 17 web tool

Log in
Article 17 > Species summary

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 lasiopterus, 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
BG N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
ES 892 1500 N/A grids1x1 estimate N/A N/A 15 grids10x10 estimate
FR 1 11 N/A grids1x1 minimum 14 14 N/A grids10x10 minimum
RO 50 100 N/A grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
SK 5 5 N/A grids1x1 estimate 24 3158 N/A i N/A
ES N/A 1200 N/A grids1x1 estimate N/A 12 N/A grids10x10 estimate
FR 100 1000 N/A grids1x1 mean N/A N/A N/A mean
PT N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 87 grids1x1 minimum N/A N/A N/A N/A
CZ N/A 3 N/A grids1x1 estimate N/A N/A N/A N/A
FR 50 50 N/A grids1x1 mean 400 600 N/A i mean
IT 11 55 N/A grids1x1 estimate N/A N/A N/A N/A
RO 50 100 N/A grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
CY N/A N/A 5 grids1x1 estimate 10 100 N/A i estimate
ES 1388 7700 N/A grids1x1 estimate N/A 7700 N/A grids10x10 estimate
FR 50 60 N/A grids1x1 estimate 94 566 N/A i estimate
GR N/A N/A 54409 grids1x1 estimate 100 500 N/A grids5x5 estimate
IT 5 25 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 128 grids1x1 minimum N/A N/A N/A N/A
CZ N/A 28 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 7 grids1x1 estimate N/A N/A N/A N/A
SK 18 18 N/A grids1x1 estimate 2 1397 N/A i N/A
NL N/A N/A N/A N/A N/A N/A N/A
HR N/A N/A 6 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
BG ALP 11500 47.41 u 11500 N/A N/A 9 grids1x1 minimum b 0.70 u 9 grids1x1 Y XX u unk bad unk U2 U2 x XX noInfo noInfo 1100 b 27.50
ES ALP 4000 16.49 + ≈ 892 1500 N/A grids1x1 estimate b 92.57 + 1500 grids1x1 Y U1 + unk unk unk XX U2 x U2 x noChange noChange 1500 a 37.50
FR ALP 1700 7.01 u ≈ 1 11 N/A grids1x1 minimum c 0.46 x > Y XX x good good good FV U1 x XX knowledge noChange 700 b 17.50
RO ALP 300 1.24 = ≈ 50 100 N/A grids1x1 minimum c 5.80 x ≈ Y U1 x poor poor poor U1 U1 x XX N/A N/A 300 b 7.50
SI ALP 6459 26.63 x x N/A N/A 1 grids1x1 minimum c 0.08 x x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 100 c 2.50
SK ALP 300 1.24 x ≈ 5 5 N/A grids1x1 estimate c 0.39 x ≈ Y FV x unk good good FV U1 x XX knowledge N/A 300 b 7.50
ES ATL 4400 23.28 = ≈ N/A 1200 N/A grids1x1 estimate b 51.95 x 1200 grids1x1 Y U1 = unk unk unk XX U2 + U2 + noChange noChange 900 a 13.43
FR ATL 12400 65.61 u ≈ 100 1000 N/A grids1x1 mean c 47.62 x < Y FV = unk poor poor U1 U1 x XX noChange noChange 5300 b 79.10
PT ATL 2100 11.11 = 2100 N/A N/A 5 grids1x1 minimum b 0.43 x x Unk XX x good unk unk XX XX XX noChange knowledge 500 b 7.46
BG BLS 2100 100 = 2100 N/A N/A 2 grids1x1 minimum c 100 u 2 grids1x1 Y XX u unk bad unk U2 U2 x U1 - noChange noInfo 400 b 100
BG CON 40600 52.08 u 40600 N/A N/A 87 grids1x1 minimum c 35.15 u 87 grids1x1 Y XX = unk bad unk U2 U2 x U1 - noInfo noInfo 5400 b 40.91
CZ CON 300 0.38 + x N/A 3 N/A grids1x1 estimate c 0.61 + x Y FV = unk unk good XX XX N/A N/A knowledge knowledge 400 a 3.03
FR CON 26250 33.67 u ≈ 50 50 N/A grids1x1 mean c 20.20 x ≈ Y FV = unk poor poor U1 U1 x XX noChange noChange 5900 b 44.70
IT CON 2200 2.82 + > 11 55 N/A grids1x1 estimate c 13.33 x x Y FV = good unk good FV U1 = U2 - noChange noChange 1100 b 8.33
RO CON 500 0.64 x ≈ 50 100 N/A grids1x1 minimum c 30.30 x ≈ Y U1 x poor poor poor U1 U1 x XX noChange noChange 300 b 2.27
SI CON 8114 10.41 x x N/A N/A 1 grids1x1 minimum c 0.40 x x Unk XX x unk unk unk XX XX N/A N/A noChange noChange 100 c 0.76
CY MED 1961 1.20 x x N/A N/A 5 grids1x1 estimate b 0.01 x x Y FV = unk unk good XX XX XX noChange noChange 2600 c 3.25
ES MED 26200 16.04 + ≈ 1388 7700 N/A grids1x1 estimate b 7.68 = 7700 grids1x1 Y U2 = unk unk unk XX U2 - U1 = knowledge knowledge 8200 a 10.26
FR MED 9800 6 u ≈ 50 60 N/A grids1x1 estimate d 0.09 x x Unk Unk XX u unk unk poor XX XX x XX noChange noChange 3300 b 4.13
GR MED 92574 56.68 = ≈ N/A N/A 54409 grids1x1 estimate b 91.98 x x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 56500 b 70.71
IT MED 600 0.37 + > 5 25 N/A grids1x1 estimate c 0.03 x x Y FV + good unk good FV U1 = U2 - knowledge noChange 500 b 0.63
PT MED 32200 19.71 = 35600 N/A N/A 128 grids1x1 minimum b 0.22 x x Unk XX x good unk unk XX XX XX noChange knowledge 8800 b 11.01
CZ PAN 600 8.48 = x N/A 28 N/A grids1x1 estimate c 35.90 x x Y FV = unk unk good XX XX XX noChange noChange 400 a 30.77
HU PAN 6296 88.96 - > N/A N/A 7 grids1x1 estimate b 17.95 - >> N Y U2 - bad bad bad U2 U2 - U2 - noChange noChange 700 b 53.85
SK PAN 181.56 2.57 x ≈ 18 18 N/A grids1x1 estimate c 46.15 x ≈ Y FV x unk good good FV U1 x XX knowledge N/A 200 b 15.38
NL ATL 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 15300 0 x >> N/A N/A 6 grids1x1 minimum c 0 x >> Unk XX x unk unk poor XX U2 x N/A N/A 15300 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 24259 2XP x 958 1626 1292 grids1x1 2XP + 2XP + 2XP MTX x XX x nc nc XX C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 18900 1 x ≈ 18900 705 2205 1155 grids1x1 0EQ x 2XP = 2XP MTX + XX x nc nong XX B1

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 2100 0MS = 2100 2 grids1x1 0MS x 2 grids1x1 0MS x unk bad unk 0MS MTX x U1 - nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 77964 2XP x 199 296 247.5 grids1x1 2XP x 2XP x 2XP MTX x XX x nong nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 163335 2XR = 55985 62327 59156 2XP x x 2XP x 2XP MTX x U1 x nc nc XX D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 7077.56 2XP - 53 53 53 grids1x1 2XP x 2XP 2XP MTX x U2 - nong nong U1 D

01/20

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.