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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, Canis lupus, Alpine. Annexes N, N, Y. 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
BG 360 540 N/A i minimum N/A N/A N/A N/A
FI N/A 3 N/A i estimate N/A N/A N/A N/A
FR 387 477 430 i estimate N/A N/A N/A estimate
HR N/A N/A 75 i mean N/A N/A 20 p estimate
IT 329 375 N/A i minimum N/A N/A N/A N/A
PL N/A N/A 294 i estimate N/A N/A N/A N/A
RO 1500 1800 N/A i estimate N/A N/A N/A N/A
SI 49 53 N/A i interval N/A N/A N/A N/A
SK 300 600 N/A i estimate N/A N/A N/A N/A
AT 6 8 N/A i minimum N/A N/A N/A minimum
ES N/A 10 N/A i minimum N/A N/A N/A N/A
SE N/A 5 N/A i estimate 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 26000 13.16 = 26000 360 540 N/A i minimum b 11.99 = 375 i Y FV = unk unk unk XX FV = FV knowledge knowledge 13800 b 9.99
FI 4500 2.28 = N/A 3 N/A i estimate b 0.04 = > Y FV = poor poor good U1 U1 = U1 = noChange noChange 1100 a 0.80
FR 24692 12.50 + 387 477 430 i estimate a 11.46 + Y Unk FV + good good good FV FV + FV N/A N/A 23600 a 17.09
HR 8615 4.36 = N/A N/A 75 i mean b 2 = > Y FV + good poor poor U1 U1 + N/A N/A N/A a 0
IT 23100 11.69 + 329 375 N/A i minimum a 9.38 + Y FV = good good good FV FV + FV noChange genuine 19400 b 14.05
PL 12800 6.48 = N/A N/A 294 i estimate b 7.83 = Y FV = good good good FV FV = FV noChange noChange 8000 a 5.79
RO 67300 34.06 = 1500 1800 N/A i estimate a 43.96 = 1600 i Y FV = good good good FV FV = FV noChange noChange 48800 a 35.34
SI 4086 2.07 + 49 53 N/A i interval a 1.36 + Y FV = good good good FV FV + U1 = genuine genuine 3500 a 2.53
SK 26500.79 13.41 = 300 600 N/A i estimate b 11.99 = Y FV + good good good FV FV = FV N/A knowledge 19900 b 14.41
AT 8900 0 + N/ 6 8 N/A i minimum c 0 x N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 5500 b 0
ES N/A 0 x > N/A 10 N/A i minimum b 0 + x Y FV = poor unk good XX U1 x N/A N/A knowledge knowledge N/A a 0
SE 15800 0 N N/ N/A 5 N/A i estimate 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 5700 a 0
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 197593.79 1 + ≈ 197593.79 3294 4217 3753 i 2XP = ≈ 3753 i 2XP + good good good 2XP MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
AT 2XP 2XR >> 2XP 3XP 0/2

03/20

Naturschutzbund Österreich

Institution: Naturschutzbund Österreich

Member State: AT

Naturschutzbund Österreich
ES N/A 2XP + > 10 30 30 2XP + > 2XP = good good good 2XP MTX + FV = FV A+ 0/1

03/20

REAL FEDERACION ESPAÑOLA DE CAZA

Institution: REAL FEDERACION ESPAÑOLA DE CAZA

Member State: ES

REAL FEDERACION ESPAÑOLA DE CAZA
BG poor 2XP 3XP = U1 = U1 D 0/2

03/20

BALKANI Wildlife Society

Institution: BALKANI Wildlife Society

Member State: BG

BALKANI Wildlife Society
BG 540 980 980 + good good good 2XP 3XP + FV FV 0/3

03/20

Union of Hunters and Anglers in Bulgaria

Institution: Union of Hunters and Anglers in Bulgaria

Member State: BG

Union of Hunters and Anglers in Bulgaria
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.