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.

Warning: The map does not show the distribution for sensitive species in LU

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

Sensitive spatial information for this species is not shown in the map.

Current selection: 2013-2018, Mammals, Barbastella barbastellus, Continental. Annexes Y, Y, N. Show all Mammals
Member States reports
MS 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 150 N/A N/A i minimum 184 N/A N/A grids1x1 minimum
BE 100 500 N/A i estimate 5 100 N/A iwintering estimate
BG 10000 18000 N/A i minimum N/A N/A N/A N/A
CZ 4000 6000 N/A i estimate N/A N/A N/A N/A
DE 10000 50000 20000 i estimate 919 951 935 localities estimate
DK N/A N/A N/A N/A N/A 10 localities N/A
FR 6000 10000 N/A i mean N/A N/A N/A mean
HR N/A N/A 46 i minimum N/A N/A 46 grids1x1 minimum
IT 4200 21000 N/A i estimate N/A N/A N/A N/A
LU 60 120 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 6500 i minimum N/A N/A N/A N/A
RO 1000 2000 N/A i minimum N/A N/A N/A N/A
SE 3000 9000 6000 i estimate N/A N/A 241 grids1x1 estimate
SI N/A N/A 49 i minimum 49 57 N/A grids1x1 estimate
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 9100 1.28 = > 150 N/A N/A i minimum c 0.20 = > Y FV = good good poor U1 U1 = U1 x noChange knowledge 6700 b 2.23
BE 1000 0.14 + >> 100 500 N/A i estimate a 0.40 + >> Y FV = good good good FV U2 + U2 + noChange noChange 1000 a 0.33
BG 85500 11.99 = 85500 10000 18000 N/A i minimum b 18.86 = 12000 i Y FV = poor poor poor U1 U1 = U1 - noChange method 6200 b 2.06
CZ 81000 11.36 = 4000 6000 N/A i estimate a 6.74 = > Y FV = good poor good FV U1 = U1 = noChange noChange 43500 a 14.45
DE 233805 32.78 + 10000 50000 20000 i estimate b 26.94 + > localities N Unk U1 - good poor unk U1 U1 = U1 = noChange noChange 109100 c 36.25
DK 1581 0.22 = N/A N/A N/A d 0 u x Unk Y XX u good unk unk XX XX U1 x N/A N/A 1400 b 0.47
FR 69500 9.74 = 6000 10000 N/A i mean b 10.78 = Y Unk FV = good good poor U1 U1 = U1 = noChange noChange 48400 b 16.08
HR 31100 4.36 x > N/A N/A 46 i minimum c 0.06 x > N Y U1 x poor unk poor U1 U1 x N/A N/A 30100 b 10
IT 57100 8.01 = 4200 21000 N/A i estimate c 16.97 = > N Y U1 - good good poor FV U1 - U2 - noChange noChange 8400 b 2.79
LU 500 0.07 + > 60 120 N/A i estimate b 0.12 + > N Unk U2 u good poor poor U1 U2 + U2 x noChange genuine 300 b 0.10
PL 91600 12.84 = N/A N/A 6500 i minimum a 8.76 = N Unk U1 u good unk poor U1 U1 = U1 x noChange knowledge 28000 b 9.30
RO 23200 3.25 = 1000 2000 N/A i minimum b 2.02 = Y FV = good poor good FV FV = U1 = knowledge knowledge 6600 b 2.19
SE 15700 2.20 + 15700 3000 9000 6000 i estimate c 8.08 + 6000 i Y FV = good unk unk XX FV + U2 + genuine genuine 7300 c 2.43
SI 12616 1.77 = N/A N/A 49 i minimum b 0.07 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 4000 b 1.33
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 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 0EQ + 0EQ + > 0EQ - good poor poor 0EQ MTX = U1 - nc nc U1 D

03/20

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.