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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 geyeri, 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 63 63 N/A grids1x1 estimate N/A N/A N/A N/A
DE 46 46 46 grids1x1 minimum 14 14 14 grids5x5 minimum
FI N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
FR N/A N/A 3 grids1x1 minimum N/A N/A N/A minimum
IT N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
PL 2 4 3 grids1x1 estimate 3 7 4 localities estimate
SE 60 100 80 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
SK 67 67 N/A grids1x1 estimate 122457 548249 N/A i N/A
DK N/A N/A N/A estimate N/A N/A N/A localities N/A
IE 24 44 N/A grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 46 grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 26 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 5 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
SE 400 500 450 grids1x1 estimate N/A N/A N/A N/A
AT N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 25 grids1x1 estimate N/A N/A N/A N/A
DE 408 408 408 grids1x1 minimum 53 57 55 grids5x5 minimum
DK N/A N/A N/A estimate N/A N/A 17 localities N/A
FR N/A N/A 37 grids1x1 minimum N/A N/A N/A minimum
PL N/A N/A 27 grids1x1 minimum N/A N/A 27 localities minimum
SE 50 100 75 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 minimum 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 3600 16.80 = >> 63 63 N/A grids1x1 estimate a 23.16 x > Y U2 = poor poor poor U1 U2 = U2 = noChange noChange 3100 a 27.19
DE ALP 1361 6.35 = 46 46 46 grids1x1 minimum b 16.91 = grids5x5 Y FV = good good good FV FV = U1 = knowledge noChange 1200 b 10.53
FI ALP 100 0.47 x x N/A N/A 1 grids1x1 minimum a 0.37 x x Y XX x unk unk unk XX XX XX noChange noChange 100 a 0.88
FR ALP 10 0.05 x > N/A N/A 3 grids1x1 minimum c 1.10 x > N Y U1 - unk unk unk XX U1 x N/A N/A noChange noChange 300 b 2.63
IT ALP 1700 7.93 = N/A N/A 7 grids1x1 minimum c 2.57 = Y FV = good good good FV FV = FV noChange noChange 1200 b 10.53
PL ALP 400 1.87 = > 2 4 3 grids1x1 estimate b 1.10 u > N Y U1 - poor poor poor U1 U1 x U1 x noChange noChange 300 b 2.63
SE ALP 9900 46.20 = 9900 60 100 80 grids1x1 estimate b 29.41 = 80 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2400 b 21.05
SI ALP 153 0.71 x x N/A N/A 2 grids1x1 minimum c 0.74 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 c 0.88
SK ALP 4202.53 19.61 = 67 67 N/A grids1x1 estimate b 24.63 = > Y U1 = good poor poor U1 U1 = U1 = N/A N/A 2700 b 23.68
DK ATL 14 0.21 x >> N/A N/A N/A estimate b 0 x >> Unk Unk XX x bad bad bad U2 U2 x XX N/A N/A N/A b 0
IE ATL 3600 53.20 - 4100 24 44 N/A grids1x1 estimate a 42.50 - 48 grids1x1 N Unk U1 - bad poor poor U2 U2 - U1 - genuine noChange 2300 a 48.94
UK ATL 3152.82 46.59 - > N/A N/A 46 grids1x1 estimate b 57.50 - 59 grids1x1 Unk Unk XX - poor unk unk XX U1 - FV genuine genuine 2400 b 51.06
EE BOR 4100 4.91 + x N/A N/A 26 grids1x1 minimum c 4.91 x > N Unk XX x unk unk unk XX XX XX noChange noChange 2300 c 12.11
FI BOR 2900 3.47 x x N/A N/A 18 grids1x1 minimum a 3.40 x x Y FV x good unk good FV FV x FV noChange noChange 1600 a 8.42
LT BOR 19556 23.42 - > N/A N/A 5 grids1x1 estimate b 0.95 - >> Unk U2 - poor bad bad U2 U2 - U2 = knowledge knowledge 400 b 2.11
LV BOR 6352 7.61 = 6352 N/A N/A 30 grids1x1 minimum b 5.67 = 30 grids1x1 Y U2 - good good bad U2 U2 - FV knowledge knowledge N/A b 0
SE BOR 50600 60.59 = 50600 400 500 450 grids1x1 estimate b 85.07 - 700 grids1x1 N N U1 - good poor poor U1 U2 - U2 = noChange knowledge 14700 b 77.37
AT CON 100 0.35 = N/ N/A N/A 1 grids1x1 estimate a 0.17 = N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 100 a 0.66
CZ CON 5700 20.20 + N/A N/A 25 grids1x1 estimate a 4.36 x Y FV + good good good FV FV = U2 + genuine genuine 1800 a 11.84
DE CON 6265 22.21 = > 408 408 408 grids1x1 minimum b 71.08 - > grids5x5 N Y U1 - poor poor poor U1 U1 - U1 = noChange method 4100 b 26.97
DK CON 2195 7.78 x >> N/A N/A N/A estimate b 0 x >> Unk Unk XX x bad bad bad U2 U2 x U2 + N/A N/A 1400 b 9.21
FR CON 8 0.03 = N/A N/A 37 grids1x1 minimum b 6.45 = Y Unk U1 - good unk unk XX U1 - N/A N/A noChange noChange 1900 b 12.50
PL CON 5000 17.72 u > N/A N/A 27 grids1x1 minimum a 4.70 u > N N U1 u poor poor poor U1 U1 x U1 - noChange knowledge 2700 b 17.76
SE CON 8800 31.19 = 8800 50 100 75 grids1x1 estimate b 13.07 - 150 grids1x1 N N U2 = good bad bad U2 U2 - U2 = noChange knowledge 3000 b 19.74
SI CON 146 0.52 x x N/A N/A 1 grids1x1 minimum c 0.17 x x Unk XX x unk unk unk XX XX XX noChange noChange 200 c 1.32
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 21426 2XP = grids1x1 2XP = > grids1x1 2XP = good poor poor 2XP MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 6766 2XP - > grids1x1 2XP - > grids1x1 2XP - poor poor unk 2XP MTX - U1 - gen nc U1 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 83508 2XP = grids1x1 2XP - > grids1x1 2XP - good bad poor 2XP MTX - U2 = nc nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 28214 2XP = grids5x5 2XP - > grids1x1 2XP - poor poor poor 2XP MTX - U2 = gen nong U2 B1

03/20

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.