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, Amphibians, Triturus cristatus, All bioregions. Annexes Y, Y, N. Show all Amphibians
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 20 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
DE 703 703 703 grids1x1 estimate 8 8 8 grids5x5 estimate
FR 8 500 N/A grids1x1 estimate N/A N/A N/A estimate
PL N/A N/A 40 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 71 71 N/A grids1x1 estimate 1000 5000 N/A i N/A
BE N/A N/A 259 grids1x1 estimate 6920 23000 N/A i estimate
DE 22741 22741 22741 grids1x1 minimum 416 431 423.50 grids5x5 minimum
DK N/A N/A N/A estimate N/A N/A 49 localities N/A
FR 803 4999 N/A grids1x1 estimate N/A N/A N/A estimate
NL N/A N/A 863 grids1x1 estimate 52000 650000 N/A adults estimate
UK N/A N/A 22280 grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 150 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 78 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 100 grids1x1 estimate N/A N/A 5000 i minimum
LV 43 N/A N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 54234 grids1x1 estimate 80000 250000 165000 i N/A
AT N/A N/A 67 grids1x1 estimate N/A N/A N/A N/A
BE 117 260 117 grids1x1 minimum 1750 17500 1750 adults minimum
BG N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1486 grids1x1 estimate N/A N/A N/A N/A
DE 123001 123001 123001 grids1x1 estimate 2542 2648 2595 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 445 localities N/A
FR 607 50000 N/A grids1x1 estimate N/A N/A N/A estimate
LU 329 1100 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 882 grids1x1 minimum N/A N/A N/A N/A
RO 2 10 5 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 12354 grids1x1 estimate 25000 75000 55000 i estimate
FR 7 50 N/A grids1x1 estimate 35 50 N/A estimate
CZ N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 5 grids1x1 estimate 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 1200 1.85 - > N/A N/A 20 grids1x1 minimum b 1.82 x > Unk N U1 - bad bad bad U2 U2 - U1 x genuine genuine 600 b 2.87
BG ALP 3800 5.85 + 3800 N/A N/A 7 grids1x1 minimum b 0.64 = 7 grids1x1 Y FV = good good good FV FV + U1 - method method 1800 b 8.61
DE ALP 2420 3.73 = > 703 703 703 grids1x1 estimate a 63.91 - > grids5x5 N Y U1 = poor poor bad U2 U2 - U2 - noChange noChange 800 b 3.83
FR ALP 800 1.23 - > 8 500 N/A grids1x1 estimate c 23.09 - > Unk Unk XX - poor poor poor U1 U2 - U2 = noChange noChange 600 b 2.87
PL ALP 11700 18.02 x N/A N/A 40 grids1x1 minimum b 3.64 - x Unk U1 - good poor poor U1 U1 - XX knowledge knowledge 3900 b 18.66
RO ALP 41800 64.37 = 2 20 5 grids1x1 minimum b 0.45 = 5 grids1x1 Y XX = good unk unk XX XX XX noChange noChange 10100 b 48.33
SK ALP 3220.84 4.96 - > 71 71 N/A grids1x1 estimate b 6.45 - > Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 3100 b 14.83
BE ATL 20600 5.50 = N/A N/A 259 grids1x1 estimate a 0.53 = >> Y FV = good bad good U2 U2 = U2 - noChange knowledge 9400 a 3.79
DE ATL 58239 15.54 = 60320 22741 22741 22741 grids1x1 minimum b 46.37 - 430 grids5x5 N Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 28100 b 11.34
DK ATL 6897 1.84 = > N/A N/A N/A estimate b 0 - > N Unk U1 x poor unk good U1 U1 - U1 x N/A N/A 2200 b 0.89
FR ATL 105200 28.06 - 803 4999 N/A grids1x1 estimate d 5.92 - < Unk Unk XX x unk unk unk XX U2 - FV genuine knowledge 80500 b 32.49
NL ATL 19600 5.23 = N/A N/A 863 grids1x1 estimate b 1.76 = N Y U1 = good poor poor U1 U1 = FV knowledge method 15500 a 6.26
UK ATL 164322.02 43.84 = 156257 N/A N/A 22280 grids1x1 estimate b 45.43 = > N N U1 - good poor poor U1 U1 - XX knowledge knowledge 112100 b 45.24
EE BOR 15500 6.91 - N/A N/A 150 grids1x1 minimum b 0.27 + 1200 grids1x1 N N U1 + poor poor poor U1 U1 = U1 + noChange genuine 9500 b 12.20
FI BOR 7500 3.34 = N/A N/A 78 grids1x1 minimum b 0.14 u x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 3500 a 4.49
LT BOR 20300 9.05 = N/A N/A 100 grids1x1 estimate b 0.18 = > Y U1 u good poor poor U1 U1 = U1 = noChange noChange 6400 b 8.22
LV BOR 11600 5.17 x >> 43 N/A N/A grids1x1 minimum a 0.08 x 43 grids1x1 Unk XX x unk unk unk XX U2 x U1 - noChange knowledge 3800 a 4.88
SE BOR 169500 75.53 = 169500 N/A N/A 54234 grids1x1 estimate b 99.32 - 300000 i Y U1 - good poor poor U1 U2 - U2 - noChange noChange 54700 b 70.22
AT CON 4800 0.59 x > N/A N/A 67 grids1x1 estimate b 0.04 - > Unk N U1 x bad bad bad U2 U2 x U2 = method method 3600 b 0.86
BE CON 9800 1.19 - > 117 260 117 grids1x1 minimum b 0.07 = > N N U1 = poor poor poor U1 U1 - U2 - N/A N/A 3700 a 0.88
BG CON 8300 1.01 = 8300 N/A N/A 11 grids1x1 minimum b 0.01 x 11 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 4700 b 1.12
CZ CON 72900 8.89 = N/A N/A 1486 grids1x1 estimate a 0.91 - > Y U1 - good poor poor U1 U1 - U2 - method method 45000 a 10.76
DE CON 268105 32.69 - 279397 123001 123001 123001 grids1x1 estimate b 75.03 - > grids5x5 N Y U1 - poor poor poor U1 U1 - U1 = noChange genuine 149200 b 35.67
DK CON 24293 2.96 - > N/A N/A N/A estimate b 0 - > Y U1 - good unk good FV U1 - FV N/A N/A 14300 b 3.42
FR CON 77500 9.45 u 607 50000 N/A grids1x1 estimate d 15.43 u Unk Unk U1 u unk unk bad U2 U2 x XX knowledge noChange 57500 b 13.75
LU CON 3800 0.46 = 3800 329 1100 N/A grids1x1 estimate b 0.44 = 1275 grids1x1 Unk U1 = poor poor poor U1 U1 = U1 - noChange knowledge 3000 b 0.72
PL CON 237400 28.94 = N/A N/A 882 grids1x1 minimum b 0.54 - > Y U1 - good poor poor U1 U1 - U1 x noChange knowledge 88400 b 21.13
RO CON 90800 11.07 = 2 10 5 grids1x1 minimum b 0 = 5 grids1x1 Y XX = good unk unk XX XX XX noChange noChange 36300 b 8.68
SE CON 22500 2.74 = 22500 N/A N/A 12354 grids1x1 estimate c 7.54 - 100000 i Y U1 - good poor poor U1 U2 - U2 - noChange noChange 12600 b 3.01
FR MED 1300 100 = > 7 50 N/A grids1x1 estimate b 100 = > Unk Unk XX - poor poor poor U1 U1 - U1 x knowledge knowledge 1000 b 100
CZ PAN 1400 9.59 = N/A N/A 2 grids1x1 estimate a 16.67 = > Y U1 - good poor poor U1 U1 - U2 x method method 200 a 2.99
HU PAN 202.50 1.39 u N/A N/A 5 grids1x1 estimate a 41.67 u > Unk U1 u poor bad unk U2 U2 x U1 = genuine genuine 400 a 5.97
RO PAN 13000 89.03 = 2 10 5 grids1x1 minimum b 41.67 = 5 grids1x1 Y XX = good unk unk XX XX XX noChange noChange 6100 b 91.04
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 ATL 374858.02 2GD - 2GD - 2GD x 2GD MTX - U1 - nong nc U1 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 BOR 224400 2GD = 54605 grids1x1 2GD - 2GD - 2GD MTX - U2 - nc nc U2 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 ALP 64940.84 2XP - 851 1361 1100 grids1x1 2XP - 2XP - 2XP MTX - U2 - nc nc U2 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 MED 1300 0MS = > 7 50 grids1x1 0MS = > 0MS - 0MS MTX - U1 x nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 PAN 14602.5 2GD = 12 grids1x1 2GD x 2GD = 2GD MTX x XX x gen nc XX D

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 CON 820198 1 - > 831490 2GD - 2GD - 2GD MTX - U1 - nc nc U1 C

02/20

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.