Article 17 web tool

Log in

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 moulinsiana, All bioregions. Annexes II. 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 104 104 N/A grids1x1 estimate N/A N/A N/A N/A
ES N/A 2 N/A grids1x1 estimate N/A 2 N/A localities estimate
IT 16 30 N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 100 grids1x1 estimate N/A N/A N/A N/A
SK 31 31 N/A grids1x1 estimate 6032 13050 N/A i N/A
BE N/A N/A 34 grids1x1 minimum N/A N/A N/A N/A
DE 16 23 N/A grids1x1 minimum 164508 164508 202714 area minimum
FR N/A N/A N/A minimum 168 491 N/A minimum
IE 37 64 N/A grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 318 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 54 grids1x1 estimate N/A N/A N/A grids10x10 N/A
BG N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 14 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
AT 4 4 N/A grids1x1 estimate N/A N/A N/A N/A
BE 3 13 8 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 29 grids1x1 estimate N/A N/A N/A N/A
DE 2827 2827 2827 grids1x1 estimate 399 424 411.50 area estimate
DK N/A N/A N/A estimate N/A N/A 169 localities N/A
FR N/A N/A N/A minimum 84 287 N/A minimum
IT 20 150 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 90 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 200 grids1x1 estimate N/A N/A N/A N/A
SE 5 15 10 grids1x1 estimate N/A N/A N/A N/A
ES N/A 13 13 grids1x1 estimate N/A 13 13 localities estimate
FR N/A N/A N/A minimum N/A N/A N/A minimum
GR N/A N/A 61 grids1x1 estimate N/A N/A 1 grids10x10 estimate
HR N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
IT 20 120 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 4 grids1x1 estimate N/A N/A N/A grids10x10 estimate
HU N/A N/A 246 grids1x1 minimum N/A N/A N/A N/A
SK 2 2 N/A grids1x1 estimate 100 500 N/A i N/A
FR N/A N/A N/A minimum N/A N/A N/A minimum
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 3100 49.58 = 104 104 N/A grids1x1 estimate b 40.15 = Y FV = good good good FV FV = FV noChange noChange 3000 b 58.82
ES ALP N/A 0 - >> N/A 2 N/A grids1x1 estimate a 0.39 - 2 localities N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 300 a 5.88
IT ALP 1600 25.59 = 16 30 N/A grids1x1 estimate b 8.88 = Y FV = good good good FV FV = FV noChange noChange 700 b 13.73
RO ALP 100 1.60 x > N/A N/A 100 grids1x1 estimate b 38.61 x Unk XX x unk unk unk XX XX XX knowledge knowledge 100 a 1.96
SK ALP 1453.06 23.24 = 31 31 N/A grids1x1 estimate b 11.97 x > Y FV = good good good FV U1 = U1 = N/A N/A 1000 b 19.61
BE ATL 8700 9.45 = N/A N/A 34 grids1x1 minimum c 7.14 = Y FV = good good good FV FV = U1 = method noChange 3000 b 8.20
DE ATL 1703 1.85 = >> 16 23 N/A grids1x1 minimum b 4.10 = >> area N Y U1 = bad bad poor U2 U2 = U2 = noChange noChange 1400 b 3.83
FR ATL 66500 72.24 = N/A N/A N/A minimum d 0 = Unk Unk U2 - bad bad bad U2 U2 - U2 - noChange noChange 22700 a 62.02
IE ATL 5400 5.87 - 5600 37 64 N/A grids1x1 estimate a 10.61 - 66 grids1x1 Y U1 - good poor poor U1 U1 - U1 - noChange noChange 2900 a 7.92
NL ATL 4800 5.21 = N/A N/A 318 grids1x1 estimate b 66.81 u Y U1 u good good poor U1 U1 x U1 = noChange noInfo 4400 a 12.02
UK ATL 4945.23 5.37 - 20004.17 N/A N/A 54 grids1x1 estimate b 11.34 - 278 grids1x1 N N U1 - bad bad poor U2 U2 - U2 - noChange noChange 2200 a 6.01
BG BLS 3900 100 = 3900 N/A N/A 5 grids1x1 minimum c 100 = 5 grids1x1 Y FV = unk unk unk XX FV = FV method method 800 c 100
LT BOR 10682 93.85 = > N/A N/A 14 grids1x1 estimate b 51.85 = >> Unk XX u poor poor unk U1 U2 = U2 = noInfo noInfo 900 b 100
LV BOR 700 6.15 = 700 N/A N/A 13 grids1x1 minimum b 48.15 = 13 grids1x1 Y FV = good good good FV FV = FV noChange noChange N/A b 0
AT CON 400 0.31 x >> 4 4 N/A grids1x1 estimate b 0.12 x >> Unk Unk U2 x unk unk unk XX U2 x U2 x method method 400 b 0.57
BE CON 1700 1.32 = x 3 13 8 grids1x1 minimum c 0.25 = > N N U1 x poor poor poor U1 U1 x U1 = noChange noChange 600 b 0.85
BG CON 4100 3.18 = 4100 N/A N/A 6 grids1x1 minimum c 0.18 u 6 grids1x1 Y FV = unk unk unk XX XX = FV method method 1300 c 1.85
CZ CON 1200 0.93 - > N/A N/A 29 grids1x1 estimate a 0.89 - > N N U2 - poor poor bad U2 U2 - U1 + genuine genuine 1100 a 1.56
DE CON 54301 42.10 + 54301 2827 2827 2827 grids1x1 estimate b 86.74 + 411 area Y FV + good good unk FV FV + FV noChange method 38400 b 54.62
DK CON 11987 9.29 = N/A N/A N/A estimate b 0 + Y FV = good good good FV FV = FV noChange noChange 7100 b 10.10
FR CON 35900 27.83 = N/A N/A N/A minimum d 0 = Unk Unk U2 - bad bad bad U2 U2 - U2 = noChange noChange 10500 a 14.94
IT CON 2300 1.78 = 20 150 N/A grids1x1 estimate b 2.61 = N Y U1 - good good poor FV U1 - U1 - noChange noChange 1500 b 2.13
PL CON 16600 12.87 = x N/A N/A 90 grids1x1 minimum b 2.76 = x Y FV = good good good FV FV = U1 x knowledge knowledge 8900 b 12.66
RO CON 200 0.16 x > N/A N/A 200 grids1x1 estimate b 6.14 x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 200 a 0.28
SE CON 300 0.23 = 300 5 15 10 grids1x1 estimate b 0.31 = 15 grids1x1 Y FV = good poor good U1 U1 = FV knowledge knowledge 300 b 0.43
ES MED 7200 71.65 + >> N/A 13 13 grids1x1 estimate a 8.84 - 22 localities N N U2 - bad bad bad U2 U2 - U1 - knowledge noChange 2400 a 48.98
FR MED 300 2.99 - x N/A N/A N/A minimum d 0 - x N N U2 x bad bad bad U2 U2 - N/A N/A N/A N/A 600 a 12.24
GR MED 49 0.49 = N/A N/A 61 grids1x1 estimate b 41.50 - 1 grids10x10 Unk XX x good poor unk U1 U1 - U1 - noChange noChange 100 b 2.04
HR MED 300 2.99 x x N/A N/A 3 grids1x1 minimum c 2.04 x x Unk XX x unk unk unk XX XX N/A N/A 300 d 6.12
IT MED 2200 21.89 = 20 120 N/A grids1x1 estimate b 47.62 = N Y U1 - good good poor FV U1 - U1 - noChange noChange 1500 b 30.61
CZ PAN 200 1.44 - 200 N/A N/A 4 grids1x1 estimate a 1.59 - > N N U2 - poor poor bad U2 U2 - U2 = genuine genuine 200 a 1.30
HU PAN 13601 97.61 u > N/A N/A 246 grids1x1 minimum b 97.62 u > N Y U1 u good poor poor U1 U1 x U1 = noChange knowledge 15100 b 98.05
SK PAN 133.46 0.96 - > 2 2 N/A grids1x1 estimate c 0.79 - > Y U2 - poor bad bad U2 U2 - U2 - N/A N/A 100 b 0.65
FR ALP 294 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A knowledge knowledge 200 a 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 6253 2GD = > grids1x1 2GD x > 2GD = good good good 2GD MTX = U1 x nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 92048 2XP = > grids1x1 2XP x > grids1x1 2XP x poor poor poor 2XP MTX x U2 - nong nong U2 B2

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 3900 0MS = 3900 5 grids1x1 0MS = grids1x1 0MS = unk unk unk 0MS MTX = FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 11382 2XP = > grids1x1 2XP = >> grids1x1 2XP x poor bad unk 2XP MTX = U2 = nc nc U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 128988 2XP = grids1x1 2XP + grids1x1 2XP + good good good 2XP MTX + FV nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 10049 2XP + grids1x1 2XP - > 2XP x good poor unk 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 13934 2XP x > grids1x1 2XP x > 2XP x poor poor 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.