Article 17 web tool

Log in
Article 17 > Species summary

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 GR

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, Galanthus nivalis, All bioregions. Annexes N, N, Y. 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
ES 54 N/A N/A grids1x1 minimum 5000000 N/A N/A i minimum
FR N/A 1000 N/A grids1x1 mean 50 70 N/A grids1x1 mean
HR N/A N/A 20 grids1x1 minimum N/A N/A N/A N/A
IT 195 2925 N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 402 grids1x1 minimum N/A N/A N/A N/A
RO 2500 7060 N/A grids1x1 estimate 5000 80000 N/A i estimate
SI 9 11 N/A grids1x1 minimum N/A N/A N/A N/A
SK 90 90 N/A grids1x1 estimate 500000 5000000 N/A i N/A
FR 130 1000 600 grids1x1 estimate N/A N/A N/A estimate
BG N/A N/A 37 grids1x1 minimum N/A N/A N/A N/A
AT 146 146 146 grids1x1 minimum 103 103 103 grids5x5 minimum
BG N/A N/A 41 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1467 grids1x1 estimate N/A N/A N/A N/A
DE 621 621 621 grids1x1 estimate 12 12 12 grids5x5 estimate
FR 1000000 5000000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 221 grids1x1 minimum N/A N/A N/A N/A
IT 307 4605 N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 300 grids1x1 minimum N/A N/A N/A N/A
RO 10000 30000 N/A grids1x1 estimate 500 2000 N/A i estimate
SI 67 69 N/A grids1x1 minimum N/A N/A N/A N/A
ES 72 N/A N/A grids1x1 minimum N/A N/A 8649180 i estimate
FR 15 32 32 grids1x1 estimate N/A N/A N/A estimate
GR N/A N/A 1750 grids1x1 estimate 3 21 N/A grids5x5 estimate
HR N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
IT 210 3150 N/A grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 79 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 6640 grids1x1 estimate N/A N/A N/A N/A
RO 220 600 N/A grids1x1 estimate 2000 10000 N/A i estimate
SK 39 39 N/A grids1x1 estimate 500000 2500000 N/A i N/A
AT 29 29 29 grids1x1 minimum 20 20 20 grids5x5 minimum
ES 1 1 1 grids1x1 estimate N/A N/A 135 i estimate
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
ES ALP 10700 11.12 = ≈ 54 N/A N/A grids1x1 minimum b 0.73 = 54 grids1x1 Y FV = unk unk unk XX FV = FV noChange knowledge 3100 b 6.35
FR ALP 14700 15.28 = ≈ N/A 1000 N/A grids1x1 mean b 6.74 u x Unk Unk XX x unk unk unk XX XX x FV method method 4500 b 9.22
HR ALP 1600 1.66 x x N/A N/A 20 grids1x1 minimum c 0.27 x x Unk XX x unk unk unk XX XX N/A N/A 1000 d 2.05
IT ALP 27000 28.07 = ≈ 195 2925 N/A grids1x1 minimum c 21.04 = ≈ Y FV = good good good FV FV = FV noChange noChange 16300 c 33.40
PL ALP 14800 15.39 x ≈ N/A N/A 402 grids1x1 minimum b 5.42 x ≈ Y FV = good good good FV FV x FV noChange noChange 11800 b 24.18
RO ALP 9000 9.36 = > 2500 7060 N/A grids1x1 estimate a 64.46 = 8000 grids1x1 Y FV = good good good FV FV = FV noChange noChange 3100 a 6.35
SI ALP 3878 4.03 = ≈ 9 11 N/A grids1x1 minimum b 0.13 = ≈ Y FV = good good good FV FV = FV noChange noChange 1000 b 2.05
SK ALP 14506.04 15.08 = ≈ 90 90 N/A grids1x1 estimate c 1.21 = ≈ Y FV = good good good FV FV = FV N/A knowledge 8000 b 16.39
FR ATL 163000 100 = ≈ 130 1000 600 grids1x1 estimate b 100 = < Y Y FV = good good good FV FV = FV noChange noChange 58100 b 100
BG BLS 5500 100 - 5500 N/A N/A 37 grids1x1 minimum b 100 u 37 grids1x1 Y FV = poor poor poor U1 U1 x U1 + noChange method 2100 b 100
AT CON 9000 2.28 x x 146 146 146 grids1x1 minimum b 0 x ≈ Y FV u good good good FV FV = FV noChange noChange 7000 b 3.42
BG CON 14600 3.69 - 14600 N/A N/A 41 grids1x1 minimum b 0 u 41 grids1x1 Y FV = poor poor poor U1 U1 x U1 + noChange method 4800 b 2.34
CZ CON 72400 18.31 + ≈ N/A N/A 1467 grids1x1 estimate b 0.05 u 1467 grids1x1 Y FV = good good good FV FV = FV noChange noChange 35300 a 17.23
DE CON 1121 0.28 = ≈ 621 621 621 grids1x1 estimate a 0.02 = x grids5x5 Y FV = good unk good FV FV = FV noChange noChange 1100 a 0.54
FR CON 111000 28.07 = ≈ 1000000 5000000 N/A grids1x1 estimate b 99.16 = ≈ Unk Unk XX u good unk good FV FV = FV knowledge noChange 40400 b 19.72
HR CON 15200 3.84 x x N/A N/A 221 grids1x1 minimum c 0.01 x x Unk XX x unk unk unk XX XX N/A N/A 7500 d 3.66
IT CON 55800 14.11 = ≈ 307 4605 N/A grids1x1 minimum c 0.08 = ≈ Y FV = good good good FV FV = FV noChange noChange 25700 c 12.54
PL CON 89200 22.56 = ≈ N/A N/A 300 grids1x1 minimum b 0.01 = ≈ Y FV = good good good FV FV = FV noChange method 72500 b 35.38
RO CON 16600 4.20 = > 10000 30000 N/A grids1x1 estimate a 0.66 = 35000 grids1x1 Y FV = good good good FV FV = FV noChange noChange 6700 a 3.27
SI CON 10533 2.66 = ≈ 67 69 N/A grids1x1 minimum b 0 = ≈ Y FV = good good good FV FV = FV noChange noChange 3900 b 1.90
ES MED 15300 19.22 = ≈ 72 N/A N/A grids1x1 minimum b 2.03 x 72 grids1x1 Y FV = unk unk unk XX FV = FV noChange knowledge 5000 b 16.84
FR MED 12900 16.21 = ≈ 15 32 32 grids1x1 estimate b 0.90 x ≈ Y FV = good good good FV FV = FV noChange noChange 3100 b 10.44
GR MED 1900 2.39 - 2080 N/A N/A 1750 grids1x1 estimate b 49.38 x > N Unk U1 x poor unk poor XX U1 x U1 x noChange noChange 1900 b 6.40
HR MED 1600 2.01 x x N/A N/A 10 grids1x1 minimum c 0.28 x x Unk XX x unk unk unk XX XX N/A N/A 900 d 3.03
IT MED 47900 60.18 = ≈ 210 3150 N/A grids1x1 minimum c 47.40 = ≈ Y FV = good good good FV FV = FV noChange noChange 18800 c 63.30
CZ PAN 5400 12.06 = 5400 N/A N/A 79 grids1x1 estimate b 1.10 u 79 grids1x1 Y FV = good good good FV FV = FV noChange noChange 1500 a 4.02
HU PAN 33110 73.96 = ≈ N/A N/A 6640 grids1x1 estimate b 92.63 = ≈ Y FV = good good good FV FV = FV noChange noChange 31600 b 84.72
RO PAN 500 1.12 = > 220 600 N/A grids1x1 estimate a 5.72 = 700 grids1x1 Y FV = good good good FV FV = FV noChange noChange 500 a 1.34
SK PAN 5755.52 12.86 = ≈ 39 39 N/A grids1x1 estimate c 0.54 = ≈ Y FV = good good good FV FV = FV N/A knowledge 3700 b 9.92
AT ALP 2400 0 = ≈ 29 29 29 grids1x1 minimum b 0 u ≈ N Y N/A u N/A N/A N/A N/A N/A N/A FV N/A N/A 1600 b 0
ES ATL 100 0 u > 1 1 1 grids1x1 estimate b 0 u > Unk FV = good good good FV FV = N/A N/A N/A N/A 100 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 96184 2GD = ≈ 96184 2GD = ≈ grids1x1 2GD = 2GD MTX = FV nc nong FV A=

02/20

Institution: -

Member State: Austria

Details
EU28 ATL 163000 0MS = ≈ 163000 130 1000 600 grids1x1 0MS = < grids1x1 0MS = good good good 0MS MTX = FV nc nong FV A=

02/20

Institution: -

Member State: Austria

Details
EU28 BLS 5500 0MS - > 5500 37 37 37 grids1x1 0MS x x grids1x1 0MS = poor poor poor 0MS MTX x U1 + nc nong U1 D

01/20

Institution: -

Member State: Austria

Details
EU28 CON 395454 2GD + ≈ grids1x1 2GD = ≈ grids1x1 2GD = 2GD MTX = FV nc nong FV A=

01/20

Institution: -

Member State: Austria

Details
EU28 MED 79600 2GD = ≈ 79780 2057 5014 3544 grids1x1 2GD = ≈ grids1x1 2GD = 2GD MTX = FV = nc nc FV A=

12/19

Institution: -

Member State: Austria

Details
EU28 PAN 44765 0EQ = ≈ 44765 6978 7358 7168 grids1x1 0EQ = ≈ 7458 i 0EQ = good good good 0EQ MTX = FV nc nong FV A=

02/20

Institution: -

Member State: Austria

Details
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.