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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, FI

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, Vascular plants, Pulsatilla patens, 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
SK 8561 10548 N/A i estimate N/A N/A N/A N/A
EE 2900 5000 N/A i estimate N/A N/A N/A N/A
FI 1400 1500 N/A i estimate N/A N/A 111 grids1x1 minimum
LT 10000 15000 N/A i minimum N/A N/A N/A N/A
LV 14213 16589 N/A i estimate N/A N/A 300 grids1x1 estimate
SE N/A N/A 400000 i estimate N/A N/A N/A N/A
CZ 1777 3301 N/A i interval 17 17 N/A localities N/A
DE 40000 50000 45000 i mean 40000 50000 45000 i mean
PL 6000 6100 N/A i estimate N/A N/A N/A N/A
RO 500 1800 N/A i estimate N/A N/A N/A N/A
HU 20 60 N/A i estimate N/A N/A N/A N/A
SK 6 21 N/A i estimate N/A N/A N/A N/A
RO 50 100 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
SK ALP 424.29 100 - > 8561 10548 N/A i estimate a 100 x Y U1 - poor poor poor U1 U1 - U1 = N/A N/A 300 b 100
EE BOR 8000 7.88 = 2900 5000 N/A i estimate b 0.91 - N N U1 - good poor poor U1 U1 - U1 = noChange noChange 4600 a 15.38
FI BOR 3100 3.05 = 1400 1500 N/A i estimate a 0.33 - > N N U2 - good bad bad U2 U2 - U2 - noChange noChange 2300 a 7.69
LT BOR 30700 30.25 = > 10000 15000 N/A i minimum b 2.88 - > N Unk U2 - good poor bad U2 U2 - U1 = genuine genuine 10900 b 36.45
LV BOR 56799 55.96 = 14213 16589 N/A i estimate b 3.55 - 300 grids1x1 Y U1 - good poor poor U1 U1 - U1 x knowledge knowledge 10400 a 34.78
SE BOR 2900 2.86 = 2900 N/A N/A 400000 i estimate b 92.31 = 400000 i N N U1 = good poor poor U1 U1 = U1 = noChange noChange 1700 a 5.69
CZ CON 2100 8.17 = 1777 3301 N/A i interval a 4.64 - > N Y U1 = good poor poor U1 U1 - U1 - noChange noChange 1200 a 5.50
DE CON 100 0.39 = 100 40000 50000 45000 i mean a 82.21 = 45000 i Y FV = good good good FV FV = FV noChange noChange 100 a 0.46
PL CON 21700 84.44 - 6000 6100 N/A i estimate b 11.05 - 6500 i Y U1 - poor poor poor U1 U2 - U2 x noChange genuine 19300 b 88.53
RO CON 1800 7 = > 500 1800 N/A i estimate b 2.10 = 2000 i Y FV = good good good FV FV = FV noChange noChange 1200 a 5.50
HU PAN 93 41.09 = > 20 60 N/A i estimate a 74.77 = >> N Y U1 = bad bad poor U2 U2 = U2 = noChange noChange 100 a 50
SK PAN 133.35 58.91 = > 6 21 N/A i estimate a 25.23 = Y FV = good good good FV U1 = U2 - knowledge N/A 100 b 50
RO ALP 200 0 = > 50 100 N/A i estimate a 0 = 200 i Y FV = good good good FV FV = N/A N/A noChange noChange 100 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 624.29 0EQ - < 686.72 8561 10548 9554 i 2XP x 2XP - 2XP MTX - U1 = nc nong U1 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 101499 1 = < 104569 428513 438089 433301 i 2XP = 2XP = 2XP MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 25700 1 - < 25880 48277 61201 54739 i 1 = < 56293 i 2XP = 2XP MTX = U2 x nong gen U2 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 226.35 1 = < 248.99 53 i 2XP = 2XP = 2XP MTX = U2 - nc nong U2 D

03/20

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.