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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.

Warning: The map does not show the distribution for sensitive species in DE

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, Emys orbicularis, All bioregions. Annexes Y, 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
BG N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
SI 45 46 N/A grids1x1 estimate N/A N/A N/A N/A
ES 36 N/A N/A grids1x1 estimate 96 163 N/A i estimate
FR 10000 50000 N/A grids1x1 estimate N/A N/A N/A estimate
PT N/A N/A N/A N/A N/A N/A N/A
BG N/A N/A 156 grids1x1 minimum N/A N/A N/A N/A
RO 2 20 5 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 52 grids1x1 estimate N/A N/A 30 localities minimum
LV 3 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 28 grids1x1 estimate 2000 4000 N/A i estimate
BG N/A N/A 747 grids1x1 minimum N/A N/A N/A N/A
DE 366 366 366 grids1x1 minimum 247 457 402 i minimum
FR 10000 50000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 362 grids1x1 minimum N/A N/A N/A N/A
IT 330 1680 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 1534 grids1x1 estimate N/A N/A N/A N/A
RO 2 20 5 grids1x1 minimum N/A N/A N/A N/A
SI 67 68 N/A grids1x1 estimate N/A N/A N/A N/A
ES 573 57300 N/A grids1x1 estimate 50000000 100000000 N/A i estimate
FR 10000 50000 N/A grids1x1 minimum N/A N/A N/A minimum
GR 1736 2330 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 168 grids1x1 minimum N/A N/A N/A N/A
IT 307 1088 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
HU N/A N/A 1848 grids1x1 minimum N/A N/A N/A N/A
RO 2 20 5 grids1x1 minimum N/A N/A N/A N/A
SK 15 15 N/A grids1x1 estimate 300 500 N/A i N/A
RO 2 20 5 grids1x1 minimum N/A N/A N/A N/A
FR N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A N/A 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
BG ALP 20800 95.30 = 20800 N/A N/A 7 grids1x1 minimum c 13.33 = 7 grids1x1 Y FV = poor poor poor FV FV = U1 - noChange method 1700 b 65.38
SI ALP 1026 4.70 = > 45 46 N/A grids1x1 estimate c 86.67 x > Y U1 x poor poor poor U1 U1 x U1 x noChange noChange 900 c 34.62
ES ATL 4600 10.02 = 36 N/A N/A grids1x1 estimate b 0.12 - 36 grids1x1 Y U1 - poor poor poor U1 U1 = N/A N/A genuine genuine 1600 a 4.88
FR ATL 38900 84.75 + 10000 50000 N/A grids1x1 estimate b 99.88 - > Unk Unk XX - unk unk bad U2 U2 - U2 - noChange noChange 30600 b 93.29
PT ATL 2400 5.23 = x N/A N/A N/A d 0 x x Unk U1 - unk poor poor U1 U1 x U1 x noChange noChange 600 c 1.83
BG BLS 10300 62.05 = 10300 N/A N/A 156 grids1x1 minimum c 96.89 = 156 grids1x1 Y FV = good good good FV FV = U1 - method method 4400 b 61.97
RO BLS 6300 37.95 = 2 20 5 grids1x1 minimum b 3.11 = 5 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2700 b 38.03
LT BOR 1200 85.71 x x N/A N/A 52 grids1x1 estimate b 94.55 = > Unk U1 u poor poor poor U1 U1 x U1 = noChange noChange 900 b 81.82
LV BOR 200 14.29 x 200 3 N/A N/A grids1x1 minimum c 5.45 u 3 grids1x1 Unk XX x unk unk unk XX U2 x U2 - noChange knowledge 200 a 18.18
AT CON 800 0.28 = >> N/A N/A 28 grids1x1 estimate b 0.08 = > Y U1 = bad poor poor U2 U2 = U2 = noChange noChange 700 b 0.52
BG CON 88600 30.55 = 88600 N/A N/A 747 grids1x1 minimum c 2.19 = 747 grids1x1 Y FV = good good good FV FV = U1 - method method 33800 b 25.19
DE CON 8852 3.05 - >> 366 366 366 grids1x1 minimum b 1.07 - >> i N N U2 u bad bad bad U2 U2 - U2 = noChange genuine 4600 c 3.43
FR CON 13000 4.48 x > 10000 50000 N/A grids1x1 estimate b 87.94 u > Unk Unk XX u unk unk unk XX U1 x U1 = knowledge knowledge 10700 b 7.97
HR CON 34100 11.76 = N/A N/A 362 grids1x1 minimum c 1.06 x x Unk XX x good unk unk XX XX N/A N/A 17000 c 12.67
IT CON 51100 17.62 = 330 1680 N/A grids1x1 estimate b 2.95 - > N Y U2 - good bad bad U2 U2 - U2 - genuine genuine 30800 b 22.95
PL CON 29800 10.28 u > N/A N/A 1534 grids1x1 estimate b 4.50 u x Unk U1 - poor unk poor U1 U1 x U1 - noChange genuine 11700 b 8.72
RO CON 60200 20.76 = 2 20 5 grids1x1 minimum b 0.01 = 5 grids1x1 Y XX = good good unk FV FV = U1 N/A noChange noChange 21800 b 16.24
SI CON 3546 1.22 = > 67 68 N/A grids1x1 estimate c 0.20 x > Y U1 x poor poor poor U1 U1 x U1 x noChange noChange 3100 c 2.31
ES MED 189900 52.07 = 573 57300 N/A grids1x1 estimate b 46.80 + 100000000 i Y U1 = poor poor poor U1 U1 = U1 x genuine genuine 62700 a 41.20
FR MED 17000 4.66 - x 10000 50000 N/A grids1x1 minimum b 48.52 u > Unk Unk XX - poor poor poor U1 U1 - U1 = noChange noChange 17600 b 11.56
GR MED 43818.66 12.01 = 1736 2330 N/A grids1x1 estimate b 3.29 = x N Unk U1 - good unk poor XX U1 - U1 - noChange noChange 22200 b 14.59
HR MED 19900 5.46 u x N/A N/A 168 grids1x1 minimum c 0.27 x x Unk XX x unk unk unk XX XX N/A N/A 8200 c 5.39
IT MED 63200 17.33 = 307 1088 N/A grids1x1 estimate b 1.13 - >> N Y U2 - good bad bad U2 U2 - U2 - genuine genuine 31300 b 20.57
PT MED 30900 8.47 = x N/A N/A N/A d 0 x x Unk U1 - unk poor poor U1 U1 x U1 x noChange noChange 10200 c 6.70
HU PAN 63561 84.58 = N/A N/A 1848 grids1x1 minimum b 98.93 = Y FV = good good good FV FV = FV noChange method 54100 b 91.54
RO PAN 10800 14.37 = 2 20 5 grids1x1 minimum b 0.27 = 5 grids1x1 Y XX = good good unk FV FV = U1 N/A noChange noChange 3900 b 6.60
SK PAN 787.35 1.05 - > 15 15 N/A grids1x1 estimate a 0.80 - >> Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 1100 b 1.86
RO STE 24900 100 = 2 20 5 grids1x1 minimum b 100 = 5 grids1x1 Y FV = good good good FV FV = FV noChange noChange 6200 b 100
FR ALP N/A 0 N N/ N/A N/A N/A N/A 0 N N/ Unk Unk N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange 400 b 0
IT ALP 1900 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A U2 - N/A N/A 500 b 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 21826 1 = > 21928.6 52.5 grids1x1 2GD x 2GD x 2GD MTX x U1 x nc nc U1 D

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 ATL 45900 2GD + 2GD - 2GD - 2GD MTX - U2 - nc nc U2 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 BLS 16600 0EQ = ≈ 16600 161 grids1x1 0EQ = 161 grids1x1 0EQ = good good good 0EQ MTX = U1 - nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 BOR 1400 2XP x 55 55 55 grids1x1 2XP = 2XP x 2XP MTX x U2 - nong nong U2 D

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 CON 289998 2GD = 13436 54805 34114.5 grids1x1 2GD - 2GD - 2GD MTX x U2 - nc nong U2 D

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 MED 364718.66 2GD = 2GD + 2GD - 2GD MTX - U1 x nc gen U1 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 PAN 75148.35 2GD = 1865 1883 1868 grids1x1 2GD = 2GD = 2GD MTX = FV nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 STE 24900 0MS = ≈ 24900 2 20 5 grids1x1 0MS = 5 grids1x1 0MS = good good good 0MS MTX = FV nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State: SK

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.