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 GR

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, Myotis myotis, 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 N/A N/A 30000 i estimate N/A N/A 308 grids1x1 estimate
BE 1250 2500 1250 i estimate 900 2300 900 iwintering estimate
BG 2000 22000 N/A i minimum N/A N/A N/A N/A
CZ 40000 50000 N/A i estimate N/A N/A N/A N/A
DE 500000 1000000 823991 i estimate 1092 1105 1098.50 localities estimate
FR 72000 80000 N/A i mean N/A N/A N/A mean
HR N/A N/A 5740 i minimum N/A N/A N/A N/A
IT 6000 60000 N/A i estimate N/A N/A N/A N/A
LU 3500 5000 N/A i estimate N/A N/A N/A N/A
PL 50000 100000 N/A i estimate N/A N/A N/A N/A
RO 7000 10000 N/A i minimum N/A N/A N/A N/A
SE 250 750 500 i estimate N/A N/A 20 grids1x1 estimate
SI N/A N/A 95 i minimum 95 104 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 20500 2.47 = N/A N/A 30000 i estimate a 2.69 + Y FV = good good good FV FV + FV noChange genuine 14200 b 3.17
BE 13899 1.68 = 1250 2500 1250 i estimate b 0.11 + > Y FV x good good good FV U1 = U1 + noChange noChange 8500 a 1.90
BG 92100 11.11 = 92100 2000 22000 N/A i minimum b 1.08 = 18000 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 19200 b 4.28
CZ 82500 9.95 = 40000 50000 N/A i estimate a 4.03 + Y FV = good good good FV FV + FV noChange noChange 56100 a 12.52
DE 278452 33.59 = 278452 500000 1000000 823991 i estimate b 73.88 = localities Y U1 - good good unk FV U1 - FV genuine genuine 214400 c 47.84
FR 113000 13.63 = 72000 80000 N/A i mean a 6.81 + Y Y FV = good good poor U1 U1 + U1 = noChange noChange 55300 a 12.34
HR 27200 3.28 x > N/A N/A 5740 i minimum b 0.51 x N Unk U1 x poor unk poor U1 U1 x N/A N/A 26300 b 5.87
IT 69500 8.38 = > 6000 60000 N/A i estimate c 2.96 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 10700 c 2.39
LU 3900 0.47 = 3500 5000 N/A i estimate b 0.38 + 5000 i Y U1 = good good poor U1 U1 + U1 - noChange genuine 2900 c 0.65
PL 88900 10.73 + 50000 100000 N/A i estimate c 6.72 + 30000 i Y XX u good good unk FV FV = FV noChange knowledge 26300 b 5.87
RO 23300 2.81 = 7000 10000 N/A i minimum b 0.76 = Y FV = good good good FV FV = U1 = knowledge knowledge 7400 b 1.65
SE 3000 0.36 u 15000 250 750 500 i estimate c 0.04 u 1000 i Unk XX x bad bad unk U2 U2 x U2 x noChange knowledge 1200 b 0.27
SI 12616 1.52 = 12616 N/A N/A 95 i minimum a 0.01 + N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 5700 b 1.27
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 828867 1 = < 853537 717835 1366085 1115326 i 2XP = 2XP - 2XP MTX - U1 = nc nong U1 C

02/20

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.