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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, Molluscs, Vertigo angustior, All bioregions. Annexes Y, N, N. Show all Molluscs
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 32 32 N/A grids1x1 estimate N/A N/A N/A N/A
DE 1045 1045 1045 grids1x1 estimate 15 15 15 grids5x5 estimate
FR N/A N/A N/A minimum 1 6 N/A minimum
IT 75 189 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 40 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 800 grids1x1 estimate N/A N/A N/A N/A
SI 24 27 N/A grids1x1 minimum N/A N/A N/A N/A
SK 200 200 N/A grids1x1 estimate 115292 471551 N/A i N/A
BE N/A N/A 18 grids1x1 estimate N/A N/A N/A N/A
DE 8 11 N/A grids1x1 minimum 1432 1432 197776 grids5x5 minimum
FR N/A N/A N/A minimum 70 202 N/A minimum
IE N/A N/A 56 grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 126 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 51 grids1x1 estimate N/A N/A N/A grids10x10 N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 48 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 30 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
SE 300 600 450 grids1x1 estimate N/A N/A N/A N/A
AT 13 13 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 78 grids1x1 estimate N/A N/A N/A grids10x10 estimate
DE 3649 3649 3649 grids1x1 estimate 494 531 512.50 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 109 localities N/A
FR N/A N/A N/A minimum 38 89 N/A minimum
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
IT 180 350 N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 200 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 2300 grids1x1 estimate N/A N/A N/A N/A
SE 150 350 250 grids1x1 estimate N/A N/A N/A i N/A
SI 42 45 N/A grids1x1 minimum N/A N/A N/A N/A
ES N/A 17 17 grids1x1 estimate N/A 17 17 localities estimate
FR N/A N/A N/A minimum 2 2 N/A minimum
GR N/A N/A 161 grids1x1 estimate N/A N/A 2 grids10x10 estimate
HR N/A N/A 29 grids1x1 minimum N/A N/A N/A N/A
IT 102 480 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 3 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 393 grids1x1 minimum N/A N/A N/A N/A
SK 4 4 N/A grids1x1 estimate 1000 10000 N/A i 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 2700 6.68 = > 32 32 N/A grids1x1 estimate b 1.41 = Y FV = poor good good U1 U1 = U1 = noChange noChange 2300 b 10.04
DE ALP 1751 4.33 = 1751 1045 1045 1045 grids1x1 estimate b 45.94 = grids5x5 Y FV = good good good FV FV = U1 = knowledge noChange 1600 a 6.99
FR ALP 4400 10.88 x x N/A N/A N/A minimum d 0 x x Unk Unk U2 - bad bad bad U2 U2 x U2 = noChange noChange 1400 b 6.11
IT ALP 8800 21.76 = 75 189 N/A grids1x1 estimate c 5.80 = Y FV = good good good FV FV = FV noChange noChange 4700 b 20.52
PL ALP 3500 8.65 = N/A N/A 40 grids1x1 minimum b 1.76 = x Y FV = good good good FV FV = U1 x knowledge knowledge 2000 b 8.73
RO ALP 800 1.98 x > N/A N/A 800 grids1x1 estimate b 35.17 x Unk XX x unk unk unk XX XX XX knowledge knowledge 400 a 1.75
SI ALP 3329 8.23 = 24 27 N/A grids1x1 minimum b 1.12 u Y U1 u good good poor U1 U1 x FV noChange noChange 2500 c 10.92
SK ALP 15163.64 37.49 = 200 200 N/A grids1x1 estimate b 8.79 = Y FV = good good good FV U1 = FV knowledge knowledge 8000 b 34.93
BE ATL 1000 2.97 = N/A N/A 18 grids1x1 estimate b 6.91 = x Y FV = good good good FV FV = U1 = method noChange 700 b 3.93
DE ATL 1449 4.30 = x 8 11 N/A grids1x1 minimum b 3.65 x x grids5x5 Unk XX = unk unk unk XX XX = XX noChange method 1300 a 7.30
FR ATL 21800 64.76 x x N/A N/A N/A minimum d 0 x x Unk Unk U2 - bad bad bad U2 U2 x U2 - noChange noChange 8500 b 47.75
IE ATL 5200 15.45 - 5600 N/A N/A 56 grids1x1 estimate a 21.50 - 71 grids1x1 N Unk U1 - poor poor poor U1 U1 - U1 - noChange noChange 3200 a 17.98
NL ATL 2400 7.13 - > N/A N/A 126 grids1x1 estimate b 48.37 - >> N N U1 - bad bad bad U2 U2 - U2 x noChange knowledge 2300 a 12.92
UK ATL 1815.89 5.39 - > N/A N/A 51 grids1x1 estimate a 19.58 - 63 grids1x1 Unk Unk XX - poor poor poor U1 U1 - U1 = noChange genuine 1800 a 10.11
BG BLS 3700 100 = 3700 N/A N/A 4 grids1x1 minimum c 100 = 4 grids1x1 Y FV = unk unk unk XX FV = FV method method 1000 c 100
EE BOR 5200 6.07 + N/A N/A 48 grids1x1 minimum c 8.66 x > N Unk U1 - good poor poor U1 U1 x XX knowledge noChange 3100 b 20
FI BOR 4200 4.90 = N/A N/A 13 grids1x1 minimum a 2.35 x x Y FV = good unk good FV FV = FV noChange noChange 1100 a 7.10
LT BOR 44841 52.34 - N/A N/A 30 grids1x1 estimate b 5.42 - > N Unk U1 - good poor bad U2 U2 - U1 = noInfo noInfo 3900 b 25.16
LV BOR 9434 11.01 = 9434 N/A N/A 13 grids1x1 minimum b 2.35 - 13 grids1x1 N Unk U2 - good poor bad U2 U2 - U1 = noChange noChange N/A b 0
SE BOR 22000 25.68 = 22000 300 600 450 grids1x1 estimate b 81.23 u 600 grids1x1 Y U1 u good poor poor U1 U1 x U2 = knowledge noChange 7400 b 47.74
AT CON 800 0.40 = >> 13 13 N/A grids1x1 estimate b 0.19 = > Unk Unk XX = poor poor poor U1 U2 = U2 - method method 800 b 0.80
BG CON 3100 1.56 u 3100 N/A N/A N/A grids1x1 minimum c 0 x x Y FV = good unk good FV XX FV method method 700 c 0.70
CZ CON 19800 9.96 + N/A N/A 78 grids1x1 estimate b 1.15 = Y U1 = good poor poor U2 U2 + U1 = noChange noChange 5900 a 5.88
DE CON 89723 45.14 = 3649 3649 3649 grids1x1 estimate b 53.67 + grids5x5 N Y U1 = good good poor U1 U1 + U1 = noChange method 51000 a 50.85
DK CON 8269 4.16 + > N/A N/A N/A estimate b 0 + > Unk Unk XX x poor poor good U1 U1 + U1 + knowledge knowledge 5100 b 5.08
FR CON 11300 5.69 x x N/A N/A N/A minimum d 0 x x Unk Unk U2 - bad bad bad U2 U2 x U2 = noChange noChange 4800 b 4.79
HR CON 10 0.01 x x N/A N/A 1 grids1x1 minimum c 0.01 x x Unk XX x unk unk unk XX XX N/A N/A 100 d 0.10
IT CON 10600 5.33 = 180 350 N/A grids1x1 minimum c 3.90 = Y FV = good good good FV FV = U1 x noChange noInfo 5600 b 5.58
PL CON 37800 19.02 = x N/A N/A 200 grids1x1 minimum b 2.94 = x Y FV = good good good FV FV = U1 x knowledge knowledge 17000 b 16.95
RO CON 2300 1.16 x > N/A N/A 2300 grids1x1 estimate b 33.83 x 6900 grids1x1 Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 2100 a 2.09
SE CON 8800 4.43 = 8800 150 350 250 grids1x1 estimate b 3.68 u 300 grids1x1 Y U1 u good poor poor U1 U1 x U2 = knowledge noChange 3200 b 3.19
SI CON 6255 3.15 = 42 45 N/A grids1x1 minimum b 0.64 u Y U1 u good good poor U1 U1 x FV noChange noChange 4000 c 3.99
ES MED 800 4.36 = >> N/A 17 17 grids1x1 estimate a 3.41 - 25 localities N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 500 a 4.63
FR MED 2900 15.80 x x N/A N/A N/A minimum d 0 x x N Unk U2 - bad bad bad U2 U2 x U2 - N/A noChange 1300 b 12.04
GR MED 149 0.81 = N/A N/A 161 grids1x1 estimate b 32.33 - 2 grids10x10 Unk XX x good poor unk U1 U1 - U1 - noChange noChange 200 b 1.85
HR MED 2500 13.62 x x N/A N/A 29 grids1x1 minimum c 5.82 x x Unk XX x unk unk unk XX XX N/A N/A 1600 d 14.81
IT MED 12000 65.40 = 102 480 N/A grids1x1 estimate b 58.43 = Y FV = good good good FV FV = U1 x noChange noChange 7200 b 66.67
CZ PAN 1700 6.85 - 1700 N/A N/A 3 grids1x1 estimate a 0.75 - > N N U2 - bad bad bad U2 U2 - U2 + genuine genuine 200 a 0.82
HU PAN 22437 90.37 = N/A N/A 393 grids1x1 minimum b 98.25 u Y U1 u good good poor U1 U1 x U1 = noChange noChange 23800 b 97.94
SK PAN 690.71 2.78 = 4 4 N/A grids1x1 estimate b 1 = Y FV = good poor poor U1 U2 = FV knowledge knowledge 300 b 1.23
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 40443 2XR = grids1x1 2XR = > 2XR = good good good 2XR MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 33664 2XP x > grids1x1 2XP - >> grids1x1 2XP - poor bad poor 2XP MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 3700 0MS = grids1x1 0MS = grids1x1 0MS = unk unk unk 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 85675 2XP - grids1x1 2XP x > grids1x1 2XP x good poor poor 2XP MTX - U2 = nong nong U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 198757 2XR = grids1x1 2XR + > grids1x1 2XR = good poor poor 2XR MTX + U1 = nc nong U1 B2

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 18349 2XP = grids1x1 2XP = 2XP = good poor unk 2XP MTX = U1 x nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 24827 2XP = grids1x1 2XP x 2XP x good good poor 2XP MTX x U1 = nc nong U1 D

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.