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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, Dryomys nitedula, All bioregions. Annexes N, Y-HTL, 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
AT N/A N/A 108 grids1x1 minimum 1000 18000 N/A i minimum
BG N/A N/A 81 grids1x1 minimum N/A N/A N/A N/A
DE N/A N/A 1 grids1x1 estimate 1 1 1 localities estimate
HR N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
IT 15 30 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 553 grids1x1 estimate N/A N/A N/A N/A
RO 11500 12200 N/A grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
SK 12 12 N/A grids1x1 estimate 100 500 N/A i N/A
BG N/A N/A 28 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 36 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 9 grids1x1 minimum 9 1600 N/A i N/A
BG N/A N/A 199 grids1x1 minimum N/A N/A N/A N/A
CZ 262 262 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 2511 grids1x1 estimate N/A N/A N/A N/A
RO 34000 37400 N/A grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 68039 grids1x1 estimate 1944 2504 N/A grids5x5 estimate
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
IT 8 10 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 109 grids1x1 minimum N/A N/A N/A N/A
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
SK N/A 1 N/A grids1x1 estimate 50 100 N/A i N/A
RO 2200 2600 N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A N/A 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
AT ALP 30700 44.40 - > N/A N/A 108 grids1x1 minimum c 0.85 x x Y FV x good good good FV U1 x FV knowledge noInfo 9100 c 32.16
BG ALP 8200 11.86 = 8200 N/A N/A 81 grids1x1 minimum b 0.64 = 81 grids1x1 Unk XX x good good unk FV FV = FV noChange method 2000 b 7.07
DE ALP 83 0.12 x x N/A N/A 1 grids1x1 estimate c 0.01 x x localities Unk XX x unk unk unk XX XX x XX noChange noChange 100 d 0.35
HR ALP 400 0.58 x >> N/A N/A 4 grids1x1 minimum b 0.03 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
IT ALP 3800 5.50 = 15 30 N/A grids1x1 estimate c 0.18 = Y FV = good good good FV FV = FV noChange noChange 3300 c 11.66
PL ALP 1200 1.74 x x N/A N/A 553 grids1x1 estimate b 4.37 x x Y FV x unk unk good XX XX XX noChange noChange 600 b 2.12
RO ALP 16400 23.72 x x 11500 12200 N/A grids1x1 minimum c 93.68 = 12200 grids1x1 Y FV = poor poor poor FV FV = FV N/A N/A 10700 b 37.81
SI ALP 7656 11.07 x 7656 N/A N/A 18 grids1x1 minimum b 0.14 x Y FV = good good good FV FV x FV noChange noChange 1800 c 6.36
SK ALP 700 1.01 = 12 12 N/A grids1x1 estimate b 0.09 x Y FV = good poor poor U1 U1 = U1 = N/A N/A 700 b 2.47
BG BLS 5700 100 = 5700 N/A N/A 28 grids1x1 minimum b 100 = 28 grids1x1 Unk XX x good good unk FV FV = FV noChange noChange 1200 b 100
LT BOR 172 93.48 = > N/A N/A 36 grids1x1 estimate b 72 - > Y U1 - poor poor poor U1 U1 - U1 = noChange noChange 500 b 83.33
LV BOR 12 6.52 x x N/A N/A 14 grids1x1 minimum b 28 x 14 grids1x1 Unk XX x unk unk unk XX XX XX noChange noChange 100 a 16.67
AT CON 1900 2.25 x > N/A N/A 9 grids1x1 minimum c 0.02 x x N Unk U1 x poor poor poor U1 U1 x FV knowledge knowledge 900 c 1.69
BG CON 24700 29.20 = 24700 N/A N/A 199 grids1x1 minimum b 0.51 = 199 grids1x1 Unk XX x good good unk FV FV = FV noChange noChange 5800 b 10.90
CZ CON 8500 10.05 x x 262 262 N/A grids1x1 estimate c 0.68 x x Y FV = unk unk good XX XX XX noChange noChange 3100 a 5.83
PL CON 4300 5.08 x x N/A N/A 2511 grids1x1 estimate b 6.49 x x Y FV x unk unk good XX XX XX noChange noChange 3000 b 5.64
RO CON 45200 53.43 = x 34000 37400 N/A grids1x1 minimum b 92.29 x 37400 grids1x1 Y FV x poor poor poor FV FV = FV N/A N/A 40400 b 75.94
GR MED 93500 98.73 = N/A N/A 68039 grids1x1 estimate b 99.99 = Y FV = good good good FV FV = FV noChange noChange 70900 b 98.47
HR MED 100 0.11 x >> N/A N/A 1 grids1x1 minimum b 0 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
IT MED 1100 1.16 = 8 10 N/A grids1x1 estimate c 0.01 = Y FV = good good good FV FV = U1 x knowledge knowledge 1100 c 1.53
HU PAN 11028 77.02 = > N/A N/A 109 grids1x1 minimum b 21.39 x > Y U1 = poor unk poor U1 U1 = U1 = noChange noChange 7500 b 86.21
RO PAN 2200 15.36 = x 300 500 N/A grids1x1 minimum b 78.51 = 500 grids1x1 Y FV x poor poor poor FV FV = FV N/A N/A 1200 b 13.79
SK PAN 1090.97 7.62 - > N/A 1 N/A grids1x1 estimate c 0.10 - > Y U1 x poor poor poor U1 U2 - U2 + N/A N/A N/A b 0
RO STE 2700 100 = x 2200 2600 N/A grids1x1 minimum b 100 x 2600 grids1x1 Y FV x poor poor poor FV FV = FV N/A N/A 2300 b 100
HR CON N/A 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX N/A N/A N/A 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 69139 2XR grids1x1 2XR = 2XR = good unk good 2XR MTX = FV = nong nong FV D

04/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BLS 5700 0MS = 5700 28 grids1x1 0MS = 28 grids1x1 0MS x good good unk 0MS MTX = U1 x nong nong U1 A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 184 2XP = > grids1x1 2XP - > 2XP - poor poor poor 2XP MTX - XX = nc nong XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 84600 2XP = x grids1x1 2XP x grids1x1 2XP x poor poor poor 2XP MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 94700 2XP = grids1x1 2XP = 2XP = good good good 2XP MTX = FV = nc nc XX A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 14318 2XR = > grids1x1 2XR = > grids1x1 2XR x poor poor poor 2XR MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 2700 0MS = x 2200 2600 grids1x1 0MS x 2600 grids1x1 0MS x poor poor poor 0MS MTX = FV nc nong FV A=

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.