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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, Reptiles, Natrix tessellata, 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 34 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 56 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
IT 215 1023 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 51 52 N/A grids1x1 minimum N/A N/A N/A N/A
SK 242 242 N/A grids1x1 estimate 100 500 N/A i N/A
BG N/A N/A 54 grids1x1 minimum N/A N/A N/A N/A
RO 2 10 5 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 119 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 460 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 192 grids1x1 estimate N/A N/A N/A N/A
DE 18 111 N/A grids1x1 estimate 1494 1499 1496.50 i estimate
HR N/A N/A 176 grids1x1 minimum N/A N/A N/A N/A
IT 487 1176 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 109 110 N/A grids1x1 minimum N/A N/A N/A N/A
GR 4250 5557 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 92 grids1x1 minimum N/A N/A N/A N/A
IT 284 564 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 29 grids1x1 estimate N/A N/A N/A N/A
HU 359 1177 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
SK 69 69 N/A grids1x1 estimate 500 1000 N/A i 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 2100 2.51 x > N/A N/A 34 grids1x1 estimate c 3.32 - > Unk N U1 x poor poor poor U1 U1 x U1 - noChange noChange 1600 b 5.37
BG ALP 9900 11.85 = 9900 N/A N/A 56 grids1x1 minimum b 5.47 = 56 grids1x1 Y FV = good good good FV FV = FV noChange method 1200 b 4.03
HR ALP 6000 7.18 x x N/A N/A 17 grids1x1 minimum c 1.66 x x Unk XX x unk unk unk XX XX N/A N/A 1200 c 4.03
IT ALP 35500 42.49 = 215 1023 N/A grids1x1 estimate b 60.42 = Y U1 - good good poor U1 U1 - U1 - noChange noChange 16300 b 54.70
RO ALP 15800 18.91 = 2 10 5 grids1x1 minimum b 0.49 = 5 grids1x1 Y XX = good good unk FV FV = U1 - knowledge knowledge 2900 b 9.73
SI ALP 6517 7.80 = 51 52 N/A grids1x1 minimum c 5.03 x Y U1 - good good poor U1 U1 x U1 - noChange noInfo 2300 c 7.72
SK ALP 7741.11 9.26 = 242 242 N/A grids1x1 estimate b 23.62 - 2000 i Y U1 - good poor poor U1 U1 - U1 - N/A N/A 4300 b 14.43
BG BLS 4900 48.51 = 4900 N/A N/A 54 grids1x1 minimum b 91.53 = 54 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange method 1600 b 43.24
RO BLS 5200 51.49 = 2 10 5 grids1x1 minimum b 8.47 = 5 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 2100 b 56.76
AT CON 6000 2.43 x > N/A N/A 119 grids1x1 estimate b 6.08 - > Unk N U1 x poor poor poor U1 U1 x U1 - noChange noChange 4500 b 4.53
BG CON 53300 21.56 = 53300 N/A N/A 460 grids1x1 minimum b 23.50 = 460 grids1x1 Y FV = unk unk unk XX FV = FV method method 11700 b 11.78
CZ CON 9400 3.80 = N/A N/A 192 grids1x1 estimate a 9.81 = > Y U1 - good poor poor U1 U1 - U1 = method method 4300 a 4.33
DE CON 850 0.34 = > 18 111 N/A grids1x1 estimate b 3.30 = > i N Y U1 = poor poor poor U1 U1 = U1 = noChange noChange 800 a 0.81
HR CON 28900 11.69 x x N/A N/A 176 grids1x1 minimum c 8.99 x x Unk XX x unk unk unk XX XX N/A N/A 10600 c 10.67
IT CON 86400 34.94 = 487 1176 N/A grids1x1 estimate b 42.48 = Y U1 - good good poor U1 U1 - U1 - noChange noChange 44200 b 44.51
RO CON 50700 20.50 = 2 10 5 grids1x1 minimum b 0.26 = 5 grids1x1 Y XX = good good unk FV FV = U1 x knowledge knowledge 17700 b 17.82
SI CON 11715 4.74 = 109 110 N/A grids1x1 minimum c 5.59 x Y U1 - good good poor U1 U1 x U1 - noChange noInfo 5500 c 5.54
GR MED 64327.26 48.39 = 4250 5557 N/A grids1x1 estimate b 90.48 = Y FV = good good good FV FV = FV noChange noChange 24800 b 43.66
HR MED 100 0.08 x x N/A N/A 92 grids1x1 minimum c 1.70 x x Unk XX x unk unk unk XX XX N/A N/A 4600 c 8.10
IT MED 68500 51.53 = 284 564 N/A grids1x1 estimate b 7.82 = Y U1 - good good poor U1 U1 - U1 - noChange noChange 27400 b 48.24
CZ PAN 2500 4.62 = N/A N/A 29 grids1x1 estimate a 3.33 = > Y U1 - good poor poor U1 U1 - U1 = method method 700 a 2.11
HU PAN 39701 73.34 = 359 1177 N/A grids1x1 estimate b 88.17 = Y FV = good good good FV FV = U1 x knowledge knowledge 28000 b 84.59
RO PAN 9100 16.81 = 2 10 5 grids1x1 minimum b 0.57 = 5 grids1x1 Y XX = good good unk FV FV = U1 x knowledge knowledge 2600 b 7.85
SK PAN 2832.83 5.23 = 69 69 N/A grids1x1 estimate b 7.92 - > Y U1 - good poor poor U1 U1 - U1 - N/A N/A 1800 b 5.44
RO STE 12100 100 = 2 10 5 grids1x1 minimum b 100 = 5 grids1x1 Y XX = good good unk FV FV = U1 - knowledge knowledge 4700 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 = > 2XP - good good unk 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 0EQ = 0EQ = 0EQ = unk unk unk 2XP MTX = U1 - nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP x 2XP = > 2XP x unk unk unk 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XP = 2XP = 2XP x good good good 2XP MTX = U1 - nong nong U1 A=

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2XP = 2XP = 2XP = good good unk 2XP MTX = U1 x nong nong U1 A=

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 12100 0MS = 2 10 5 grids1x1 0MS = grids1x1 0MS = good good unk 0MS MTX = U1 - nong nong U1 A=

01/20

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.