Article 17 web tool

Log in
Article 17 > Species summary

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 AT

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, Reptiles, Vipera ammodytes, All bioregions. Annexes N, Y, N. Show all Reptiles
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 32 grids1x1 estimate 50 N/A N/A i minimum
BG N/A N/A 68 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 137 grids1x1 minimum N/A N/A N/A N/A
IT 59 88 N/A grids1x1 mean N/A N/A N/A N/A
RO 2 10 5 grids1x1 minimum N/A N/A N/A N/A
SI 54 59 N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 49 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 2 grids1x1 estimate 6 N/A N/A i N/A
BG N/A N/A 357 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 74 grids1x1 minimum N/A N/A N/A N/A
IT 19 38 N/A grids1x1 estimate N/A N/A N/A N/A
RO 2 10 5 grids1x1 minimum N/A N/A N/A N/A
SI 59 64 N/A grids1x1 minimum N/A N/A N/A N/A
GR 16181 21392 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 180 grids1x1 minimum N/A N/A N/A N/A
RO 2 10 5 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 1500 3.71 - >> N/A N/A 32 grids1x1 estimate a 8.60 - >> N N U2 - bad bad poor U2 U2 - U2 - noChange noChange 1300 a 7.43
BG ALP 6000 14.83 = 6000 N/A N/A 68 grids1x1 minimum b 18.28 = 68 grids1x1 Y FV = unk unk unk XX FV = FV method method 1400 b 8
HR ALP 10400 25.71 = ≈ N/A N/A 137 grids1x1 minimum c 36.83 x x Y XX x good unk unk XX XX N/A N/A 3900 c 22.29
IT ALP 7500 18.54 = ≈ 59 88 N/A grids1x1 mean b 19.76 = ≈ Y FV = good good good FV FV = U1 - genuine genuine 5100 b 29.14
RO ALP 7400 18.29 = ≈ 2 10 5 grids1x1 minimum b 1.34 = 5 grids1x1 Y XX = good unk unk XX XX U1 N/A knowledge knowledge 2200 b 12.57
SI ALP 7656 18.92 x 7656 54 59 N/A grids1x1 minimum c 15.19 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 3600 c 20.57
BG BLS 2300 100 u x N/A N/A 49 grids1x1 minimum b 100 u 49 grids1x1 Y FV = poor poor poor U1 U1 x U1 - noChange method 1200 b 100
AT CON 100 0.14 = >> N/A N/A 2 grids1x1 estimate a 0.38 - >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 100 a 0.40
BG CON 30800 44.43 = 30800 N/A N/A 357 grids1x1 minimum b 67.61 u 357 grids1x1 Y FV = poor poor poor U1 U1 = U1 x method method 9600 b 38.25
HR CON 6600 9.52 = x N/A N/A 74 grids1x1 minimum c 14.02 x x Unk XX x unk unk unk XX XX N/A N/A 2900 c 11.55
IT CON 2400 3.46 = ≈ 19 38 N/A grids1x1 estimate b 5.40 x x Y FV = good unk good FV FV = FV noInfo noInfo 1200 b 4.78
RO CON 16800 24.24 = ≈ 2 10 5 grids1x1 minimum b 0.95 = 5 grids1x1 Y XX = good unk unk XX XX U1 N/A knowledge knowledge 8100 b 32.27
SI CON 12616 18.20 x 12616 59 64 N/A grids1x1 minimum c 11.65 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 3200 c 12.75
GR MED 67121.88 75.83 = ≈ 16181 21392 N/A grids1x1 estimate b 99.05 = ≈ Y FV = good good good FV FV = FV noChange noChange 31300 b 79.24
HR MED 21400 24.17 = ≈ N/A N/A 180 grids1x1 minimum c 0.95 x x Y XX x good unk unk XX XX N/A N/A 8200 c 20.76
RO STE 5700 100 = ≈ 2 10 5 grids1x1 minimum b 100 = 5 grids1x1 Y XX = good unk unk XX XX U1 N/A knowledge knowledge 2500 b 100
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 = ≈ 2XP = x 2XP x unk unk unk 2XP MTX x U2 - nong nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 0MS x x 0MS x x 0MS = poor poor poor 0MS MTX x U1 - nc nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

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

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XP = ≈ 2XP = ≈ 2XP = good good good 2XP MTX = FV x nc nong XX A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 5700 0MS = ≈ 2 10 5 grids1x1 0MS = ≈ grids1x1 0MS = good unk unk 0MS MTX U1 x nong nong 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.