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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.

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 capaccinii, All bioregions. Annexes Y, Y, 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
BG 1000 13000 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 2000 i minimum N/A N/A N/A N/A
IT 800 4000 N/A i estimate N/A N/A N/A N/A
RO 300 500 N/A i minimum N/A N/A N/A N/A
SI N/A N/A 4 i minimum 4 5 N/A grids1x1 estimate
BG 200 1000 N/A i minimum N/A N/A N/A N/A
BG 12000 17000 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 150 i minimum N/A N/A N/A N/A
IT 800 5000 N/A i estimate N/A N/A N/A N/A
RO 1500 2000 N/A i minimum N/A N/A N/A N/A
SI N/A N/A 12 i minimum 12 13 N/A grids1x1 estimate
ES 5567 10400 N/A i mean 56 N/A N/A localities minimum
FR 11027 19460 N/A i estimate N/A N/A N/A estimate
GR 7000 10000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 16400 i minimum N/A N/A N/A N/A
IT 6000 36000 N/A i estimate N/A N/A N/A N/A
RO 50 100 N/A i minimum N/A N/A N/A N/A
FR N/A 10 N/A i mean N/A N/A N/A mean
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 24200 48.70 = 24200 1000 13000 N/A i minimum b 59.30 = 8000 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 1700 b 13.39
HR ALP 11600 23.34 x N/A N/A 2000 i minimum b 16.94 x > N Unk U1 x unk unk poor XX U1 x N/A N/A 8800 b 69.29
IT ALP 8800 17.71 - > 800 4000 N/A i estimate c 20.33 - > Y U2 - poor bad bad U2 U2 - U2 - noChange noChange 1600 c 12.60
RO ALP 1000 2.01 = 300 500 N/A i minimum b 3.39 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 200 b 1.57
SI ALP 4097 8.24 = N/A N/A 4 i minimum b 0.03 x x Y FV = good unk good FV FV = XX knowledge knowledge 400 b 3.15
BG BLS 8600 100 = 8600 200 1000 N/A i minimum b 100 = 888 i Y FV = poor poor poor U1 U1 = FV method method 1400 b 100
BG CON 86500 75.55 = 86500 12000 17000 N/A i minimum b 75.08 = 14750 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 8500 b 49.13
HR CON 5800 5.07 x > N/A N/A 150 i minimum b 0.78 x >> N Unk U1 x poor poor bad U2 U2 x N/A N/A 5600 b 32.37
IT CON 10000 8.73 - > 800 5000 N/A i estimate b 15.02 - > Y U2 - poor bad bad U2 U2 - U2 - noChange noChange 800 c 4.62
RO CON 5100 4.45 = 1500 2000 N/A i minimum b 9.06 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1600 b 9.25
SI CON 7097 6.20 = N/A N/A 12 i minimum c 0.06 x x Y FV = good unk good FV FV = XX knowledge knowledge 800 b 4.62
ES MED 35300 13.14 + > 5567 10400 N/A i mean a 11.55 = 10400 i Unk U1 u poor poor poor U1 U1 = U1 - knowledge knowledge 9700 a 6.20
FR MED 18800 7 = 11027 19460 N/A i estimate b 22.05 = < N Unk U2 - unk unk poor U2 U2 - U2 - noChange noChange 11900 b 7.60
GR MED 114107 42.48 x 7000 10000 N/A i estimate b 12.30 x N Unk U1 x unk poor poor U1 U1 x U1 x noChange noChange 100800 b 64.41
HR MED 24200 9.01 x N/A N/A 16400 i minimum b 23.72 x N N U1 x poor unk poor U1 U1 x N/A N/A 22000 b 14.06
IT MED 76200 28.37 - > 6000 36000 N/A i estimate c 30.38 - > Y U2 - poor bad bad U2 U2 - U2 - noChange noChange 12100 c 7.73
RO STE 100 100 = 50 100 N/A i minimum c 100 = Y U1 = poor poor poor U1 U1 = U1 - knowledge knowledge 100 b 100
FR ALP 1600 0 - > N/A 10 N/A i mean b 0 - > N Unk XX = bad bad unk XX XX - N/A N/A noChange noChange 300 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 2XP - i 2XP - > 2XP - poor poor poor 2XP MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 0MS = i 0MS = x 0MS = poor poor poor 0MS MTX - U1 x nc nc U1 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP = i 2XP = x 2XP = poor poor poor 2XP MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XP x > i 2XP - > 2XP - poor bad bad 2XP MTX - U1 x nong nong U2 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 0MS = i 0MS = 0MS = poor poor poor 0MS MTX = U1 = nc nc U1 D

12/19

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.