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, Vascular plants, Ligularia sibirica, All bioregions. Annexes Y, Y, N. Show all Vascular plants
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 50000 100000 N/A i estimate N/A N/A N/A N/A
BG 100 200 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A minimum 22 22 22 grids1x1 minimum
HR N/A N/A 663 i estimate N/A N/A N/A N/A
PL N/A N/A 81 i estimate N/A N/A N/A N/A
RO 500 1700 N/A i estimate N/A N/A N/A N/A
SK 33075 33075 N/A i estimate N/A N/A N/A N/A
EE N/A N/A 6000 i estimate N/A N/A N/A N/A
LV N/A N/A 500 i estimate 2 2 N/A localities estimate
CZ 68 18324 N/A i interval 12 12 N/A localities N/A
FR 28000 80000 N/A i estimate 18 18 18 grids10x10 estimate
PL 1120 1290 N/A i estimate N/A N/A N/A estimate
RO 500 5000 N/A i estimate 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 100 0.54 = 50000 100000 N/A i estimate b 68.14 x N N U1 x good good poor U1 U1 = U1 = noChange noChange 100 a 1.23
BG ALP 100 0.54 - 100 100 200 N/A i minimum b 0.14 - 200 i N Y FV - poor bad bad U2 U2 - U1 - knowledge knowledge 100 b 1.23
FR ALP 300 1.61 = N/A N/A N/A minimum a 0 = Y Unk FV = good good good FV FV = FV noChange noChange 400 b 4.94
HR ALP 100 0.54 = N/A N/A 663 i estimate a 0.60 x x Unk U1 - good poor poor U1 U1 x N/A N/A 100 a 1.23
PL ALP 100 0.54 = N/A N/A 81 i estimate a 0.07 + Y FV = good good good FV FV + U1 = genuine genuine 100 a 1.23
RO ALP 17000 91.40 = > 500 1700 N/A i estimate b 1 = 2000 i Y FV = good good good FV FV = FV noChange noChange 6700 a 82.72
SK ALP 900 4.84 + 33075 33075 N/A i estimate a 30.05 = Y FV = good good good FV FV = U1 = knowledge N/A 600 b 7.41
EE BOR 1200 85.71 = N/A N/A 6000 i estimate a 92.31 = N N U1 - good poor poor U1 U1 - U1 = knowledge genuine 1200 a 85.71
LV BOR 200 14.29 = > N/A N/A 500 i estimate b 7.69 - 500 i Y U1 - poor poor poor U2 U2 - U2 - knowledge knowledge 200 a 14.29
CZ CON 600 4.62 = 600 68 18324 N/A i interval a 13.69 - 20000 i Y U1 = good poor poor U1 U1 - U1 - genuine genuine 400 a 5.80
FR CON 2800 21.54 = 28000 80000 N/A i estimate a 80.42 = Y Unk FV = poor poor poor U1 U1 = U1 = noChange noChange 2900 b 42.03
PL CON 500 3.85 = 1120 1290 N/A i estimate a 1.79 - > Y U1 - good poor poor U1 U1 - U1 + noChange genuine 500 a 7.25
RO CON 9100 70 = > 500 5000 N/A i estimate b 4.10 = 6000 i Y FV = good good good FV FV = FV noChange noChange 3100 a 44.93
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 18600 1 = ≈ 18600 84419 135719 110069 i 1 x x 2GD = good good good 2GD MTX = U1 = gen nc U1 A+

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 BOR 1400 1 = < 1420 6500 i 1 = ≈ 6500 i 0EQ - 2XP MTX - U1 = nc gen U1 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 CON 13000 0EQ = > 13000 29688 104614 67151 i 2GD = 2GD = 2GD MTX = U1 - nc gen U1 D

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

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.