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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, Lacerta agilis, 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 457 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 55 grids1x1 minimum N/A N/A N/A N/A
DE 1592 1592 1592 grids1x1 estimate 64 64 64 grids5x5 estimate
ES 300 564 300 grids1x1 estimate 5 12 N/A localities estimate
FR N/A N/A N/A minimum N/A N/A N/A minimum
HR N/A N/A 98 grids1x1 minimum N/A N/A N/A N/A
IT 21 48 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 58 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
SK 371 371 N/A grids1x1 estimate 5000 10000 N/A i N/A
DE 3206 3206 3206 grids1x1 minimum 297 303 300 grids5x5 minimum
DK N/A N/A N/A estimate N/A N/A 41 localities N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
NL N/A N/A 1285 grids1x1 estimate 2000000 15000000 N/A i estimate
UK N/A N/A 368 grids1x1 estimate N/A N/A 608 localities estimate
BG N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 50 grids1x1 estimate N/A N/A N/A N/A
LT 3300 3600 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 180 grids1x1 estimate 36500 64000 N/A i estimate
SE N/A N/A 12124 grids1x1 estimate 4200 8200 6200 i estimate
AT N/A N/A 498 grids1x1 minimum N/A N/A N/A N/A
BE 65 130 65 grids1x1 minimum 650 1400 1000 adults estimate
BG N/A N/A 96 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 6427 grids1x1 estimate N/A N/A N/A N/A
DE 30852 30852 30852 grids1x1 estimate 4273 4377 4325 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 144 localities N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
HR N/A N/A 232 grids1x1 minimum N/A N/A N/A N/A
LU 238 938 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 872 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 6879 grids1x1 estimate 3500 6500 5000 i N/A
SI N/A N/A 94 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 2186 grids1x1 estimate N/A N/A 22 grids5x5 estimate
CZ N/A N/A 538 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 1697 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
SK 251 251 N/A grids1x1 estimate 10000 20000 N/A i N/A
RO 2 50 10 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
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 15000 11.03 - > N/A N/A 457 grids1x1 minimum c 15.32 - > Unk N U1 - poor poor poor U1 U1 - U1 - genuine genuine 11500 c 16.89
BG ALP 7800 5.74 u 7800 N/A N/A 55 grids1x1 minimum b 1.84 x 55 grids1x1 N Unk XX u unk unk unk XX XX x U1 - method method 1900 b 2.79
DE ALP 4087 3.01 = 1592 1592 1592 grids1x1 estimate b 53.36 - x grids5x5 N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 3500 b 5.14
ES ALP 1606 1.18 x 300 564 300 grids1x1 estimate b 10.06 x 300 grids1x1 Y U1 x poor bad poor U2 U2 = U1 = knowledge noChange 1000 a 1.47
FR ALP 6200 4.56 = N/A N/A N/A minimum d 0 x x Unk Unk XX x good poor unk U1 U1 x U1 - N/A noChange 5100 a 7.49
HR ALP 6200 4.56 x x N/A N/A 98 grids1x1 minimum c 3.28 x x Y XX x unk unk unk XX XX N/A N/A 3100 c 4.55
IT ALP 500 0.37 = 21 48 N/A grids1x1 estimate b 1.16 = Y FV = good good good FV FV = U1 = noChange noChange 500 b 0.73
PL ALP 13700 10.07 x N/A N/A 58 grids1x1 minimum b 1.94 x Unk XX x good good unk FV FV x FV knowledge knowledge 5600 b 8.22
RO ALP 59700 43.90 = 2 50 10 grids1x1 minimum b 0.34 = 10 grids1x1 Y FV = good good good FV FV = U1 N/A noChange noChange 20700 b 30.40
SI ALP 7656 5.63 - 7656 N/A N/A 8 grids1x1 minimum c 0.27 u > Y FV x poor poor unk U1 U1 x U2 - knowledge noInfo 1500 c 2.20
SK ALP 13531.99 9.95 = 371 371 N/A grids1x1 estimate b 12.44 - 30000 i Y U1 = good poor poor U1 U1 - U1 - N/A N/A 13700 b 20.12
DE ATL 46788 46.25 - > 3206 3206 3206 grids1x1 minimum b 65.98 - > grids5x5 N Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 20700 b 35.26
DK ATL 9447 9.34 - > N/A N/A N/A estimate b 0 - > Unk Unk XX x bad bad poor U2 U2 - U1 x genuine genuine 3500 b 5.96
FR ATL 24000 23.72 - N/A N/A N/A estimate d 0 - x Unk Unk XX - bad bad bad U2 U2 - U2 = noChange noChange 19800 a 33.73
NL ATL 10000 9.88 = N/A N/A 1285 grids1x1 estimate a 26.45 + N N U1 + good good poor U1 U1 + U1 + noChange noChange 8900 a 15.16
UK ATL 10932.39 10.81 + 7240 N/A N/A 368 grids1x1 estimate a 7.57 = 645 localities N N U1 = good poor poor U1 U1 + U1 + noChange noChange 5800 a 9.88
BG BLS 100 1.96 = 100 N/A N/A 1 grids1x1 minimum b 9.09 x 1 grids1x1 N Unk XX u unk unk unk XX XX x U1 - method method 100 b 3.85
RO BLS 5000 98.04 = 2 50 10 grids1x1 minimum b 90.91 = 10 grids1x1 Y FV = good good good FV FV = U1 N/A knowledge knowledge 2500 b 96.15
EE BOR 3400 2.87 + > N/A N/A 50 grids1x1 estimate a 0.32 - > N N U2 - poor poor bad U2 U2 - U1 - genuine noChange 2300 a 2.56
LT BOR 64700 54.55 = 3300 3600 N/A grids1x1 minimum c 21.83 = x Y FV = good good good FV FV = U1 = noChange noChange 68400 c 76.08
LV BOR 23000 19.39 x 23000 N/A N/A 180 grids1x1 estimate b 1.14 x 180 grids1x1 Unk XX x unk unk unk XX U1 x U1 = noChange knowledge 6800 a 7.56
SE BOR 27500 23.19 = 27500 N/A N/A 12124 grids1x1 estimate b 76.71 - 12000 i Y U1 - unk unk poor XX U2 - U2 = noChange noChange 12400 b 13.79
AT CON 21000 2.22 - > N/A N/A 498 grids1x1 minimum c 1.07 - > Unk N U1 - poor poor poor U1 U1 - U1 - genuine genuine 13600 c 2.47
BE CON 1000 0.11 - > 65 130 65 grids1x1 minimum b 0.14 = >> N N U1 = poor bad poor U2 U2 - U2 + noChange method 900 a 0.16
BG CON 6600 0.70 u 6600 N/A N/A 96 grids1x1 minimum b 0.21 x 96 grids1x1 N Unk XX u unk unk unk XX XX x U1 - method method 1700 b 0.31
CZ CON 88100 9.32 = N/A N/A 6427 grids1x1 estimate a 13.79 - > Y U1 - good poor poor U1 U1 - U1 x method method 76000 a 13.82
DE CON 278902 29.49 = 278902 30852 30852 30852 grids1x1 estimate b 66.19 - > grids5x5 N Y U1 - good poor poor U1 U1 - U1 = noChange genuine 210700 b 38.32
DK CON 20791 2.20 - > N/A N/A N/A estimate b 0 - > Unk Unk XX x bad bad poor U2 U2 - U1 x knowledge knowledge 12100 b 2.20
FR CON 99300 10.50 = N/A N/A N/A estimate c 0 = < Unk Unk XX = unk poor poor U1 U1 = U1 = noChange noChange 76900 a 13.98
HR CON 25600 2.71 x x N/A N/A 232 grids1x1 minimum c 0.50 x x Unk XX x unk unk unk XX XX N/A N/A 9200 c 1.67
LU CON 3700 0.39 + 3700 238 938 N/A grids1x1 estimate b 1.26 + 1106 grids1x1 Y U1 = unk poor good U1 U1 + U2 x knowledge knowledge 2800 b 0.51
PL CON 259400 27.43 = N/A N/A 872 grids1x1 minimum b 1.87 u Y XX u good good unk FV FV x FV knowledge knowledge 87600 b 15.93
RO CON 112400 11.89 = 2 50 10 grids1x1 minimum b 0.02 = 10 grids1x1 Y XX = good good unk FV FV = U1 N/A noChange noChange 46500 b 8.46
SE CON 16200 1.71 = 16200 N/A N/A 6879 grids1x1 estimate b 14.76 - 9600 i Y U1 - unk unk poor XX U2 - U2 = noChange noChange 7300 b 1.33
SI CON 12616 1.33 = 12616 N/A N/A 94 grids1x1 minimum c 0.20 u > Y FV x poor poor unk U1 U1 x U1 - noChange noInfo 4600 c 0.84
GR MED 1568.89 100 = N/A N/A 2186 grids1x1 estimate c 100 x Y FV = good unk good FV FV x FV noChange noChange 2500 b 100
CZ PAN 6300 5.20 = N/A N/A 538 grids1x1 estimate a 21.55 - > Y U1 - good poor poor U1 U1 - U1 x method method 3200 a 3.53
HU PAN 93011 76.84 = N/A N/A 1697 grids1x1 minimum c 67.99 - > Y FV = good poor good U1 U1 - U1 = noChange genuine 72800 b 80.26
RO PAN 16400 13.55 = 2 50 10 grids1x1 minimum b 0.40 = 10 grids1x1 Y XX = good good unk FV FV = U1 N/A knowledge knowledge 8700 b 9.59
SK PAN 5339.87 4.41 = 251 251 N/A grids1x1 estimate b 10.06 - 50000 i Y U1 - good poor poor U1 U1 - U1 - N/A N/A 6000 b 6.62
RO STE 24900 100 = 2 50 10 grids1x1 minimum b 100 = 10 grids1x1 Y FV = good good good FV FV = U1 N/A knowledge knowledge 7800 b 100
FR MED 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 XX noChange noChange 1700 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 2XP = > 2XP - > 2XP - good poor poor 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XR - > 2XR - > 2XR - poor poor poor 2XR MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

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

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 2XP = 2XP - > grids1x1 2XP x unk unk unk 2XP MTX - U2 = nc nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

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

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 0MS = grids1x1 0MS x 0MS = good unk good 0MS MTX x XX nong nong XX A=

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2XP = grids1x1 2XP - > 2XP - good poor unk 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 0MS = 2 50 10 grids1x1 0MS = grids1x1 0MS = good good good 0MS MTX = U1 x nong nong U1 A=

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.