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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, Gentiana lutea, 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
AT 113 113 113 grids1x1 minimum 1130 113000 5650 i estimate
BG N/A N/A 81 grids1x1 minimum N/A N/A N/A N/A
DE N/A N/A 385 grids1x1 estimate 55 55 55 grids5x5 estimate
ES 81 5009 N/A grids1x1 estimate 610355 10854700 N/A i estimate
FR N/A N/A N/A estimate 2089 2089 N/A estimate
HR N/A N/A 103 grids1x1 estimate N/A N/A N/A N/A
IT 20000 23000 N/A grids1x1 estimate 222 411000 206000 i estimate
RO 10 100 N/A grids1x1 estimate 200 2200 N/A i estimate
SI N/A N/A 20 grids1x1 minimum N/A N/A N/A N/A
ES 57 3027 N/A grids1x1 estimate 268744 4641000 N/A i estimate
BG N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
DE 357 1038 N/A grids1x1 estimate 110 110 110 grids5x5 estimate
FR N/A N/A N/A estimate 423 423 423 grids10x10 estimate
IT 3000 4400 N/A grids1x1 estimate 44 81500 40800 i estimate
SI N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
ES 70 4228 N/A grids1x1 estimate 324856 5610000 N/A i estimate
FR 502 607 502 grids1x1 estimate 113 130 113 grids10x10 estimate
GR N/A N/A 1320 grids1x1 estimate 7 15 N/A grids5x5 estimate
HR N/A N/A 66 grids1x1 estimate N/A N/A N/A N/A
IT 3480 8700 N/A grids1x1 estimate 86 160000 80000 i estimate
PT 10 13 N/A grids1x1 estimate 200 250 N/A i estimate
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 5000 4.26 u ≈ 113 113 113 grids1x1 minimum b 0.46 u ≈ Y FV = good good good FV FV = FV noChange noChange 4100 b 5.96
BG ALP 5700 4.86 = 5700 N/A N/A 81 grids1x1 minimum b 0.33 = 81 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2900 b 4.22
DE ALP 2201 1.88 = 2201 N/A N/A 385 grids1x1 estimate c 1.55 = ≈ grids5x5 Y FV = good good good FV FV = FV noChange noChange 2500 c 3.63
ES ALP 11100 9.46 = ≈ 81 5009 N/A grids1x1 estimate b 10.26 = 81 grids1x1 Y FV = good good good FV FV - XX knowledge knowledge 4300 b 6.25
FR ALP 42000 35.78 + ≈ N/A N/A N/A estimate a 0 + ≈ Y FV = good good good FV FV + FV noChange noChange 30100 a 43.75
HR ALP 4200 3.58 x x N/A N/A 103 grids1x1 estimate c 0.42 x x Unk XX x unk unk unk XX XX N/A N/A 1800 d 2.62
IT ALP 40800 34.76 = ≈ 20000 23000 N/A grids1x1 estimate b 86.69 = ≈ Y FV = good good good FV FV = FV noChange noChange 19500 a 28.34
RO ALP 3300 2.81 = > 10 100 N/A grids1x1 estimate b 0.22 = 120 grids1x1 Y U1 = good poor poor U1 U1 = U1 - noChange noChange 2000 a 2.91
SI ALP 3079 2.62 = ≈ N/A N/A 20 grids1x1 minimum c 0.08 = 20 grids1x1 Y FV = good unk poor U1 U1 = U1 = noChange noChange 1600 c 2.33
ES ATL 9200 100 = ≈ 57 3027 N/A grids1x1 estimate b 100 = 57 grids1x1 Y FV = good good good FV FV - XX knowledge knowledge 3900 b 100
BG CON 3400 3.62 u 3400 N/A N/A 8 grids1x1 minimum b 0.18 u 8 grids1x1 Y FV = unk unk unk XX XX x U1 - noChange noChange 400 b 0.71
DE CON 9330 9.94 = ≈ 357 1038 N/A grids1x1 estimate b 15.80 = ≈ grids5x5 Y FV = good good good FV FV = FV noChange noChange 7000 c 12.50
FR CON 70400 74.97 = ≈ N/A N/A N/A estimate a 0 = ≈ Unk Unk FV = good good good FV FV = U1 - genuine noInfo 45000 a 80.36
IT CON 9500 10.12 = ≈ 3000 4400 N/A grids1x1 estimate b 83.81 = ≈ Y FV = good good good FV FV = FV noChange noChange 3000 a 5.36
SI CON 1270 1.35 = ≈ N/A N/A 9 grids1x1 minimum c 0.20 = 9 grids1x1 Y FV = good unk poor U1 U1 = U1 = noChange noChange 600 c 1.07
ES MED 14700 28.32 = ≈ 70 4228 N/A grids1x1 estimate b 21.20 = 70 grids1x1 Y FV = good good good FV FV - XX knowledge knowledge 4700 b 16.61
FR MED 14700 28.32 = ≈ 502 607 502 grids1x1 estimate a 4.95 = < Y Unk FV = good good good FV FV = FV noChange noChange 13500 a 47.70
GR MED 1400 2.70 - 1500 N/A N/A 1320 grids1x1 estimate b 13.02 x > Y FV = poor poor good XX U1 x U1 x noChange noChange 1400 b 4.95
HR MED 3600 6.94 x x N/A N/A 66 grids1x1 estimate c 0.65 x x Unk XX x unk unk unk XX XX N/A N/A 1500 d 5.30
IT MED 17200 33.14 = ≈ 3480 8700 N/A grids1x1 estimate b 60.07 = ≈ Y FV = good good good FV FV = FV noChange noChange 6900 a 24.38
PT MED 300 0.58 = x 10 13 N/A grids1x1 estimate a 0.11 - >> N Y U1 - unk poor poor U1 U2 - U1 + knowledge knowledge 300 a 1.06
FR ATL 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 N/A N/A noChange noChange 800 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 117380 2GD + ≈ 117380 20793 28811 24802 grids1x1 2GD = ≈ 302 2GD = good good good 2GD MTX + FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 9200 0MS = ≈ 57 3027 1542 grids1x1 0MS = 57 grids1x1 0MS = good good good 0MS MTX - XX x nong nong XX A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 93900 2GD = ≈ 93900 3374 5455 4414 grids1x1 2GD = ≈ 17 grids1x1 2GD = good good good 2GD MTX = U1 - nong nong U1 A+

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 51900 2XP = ≈ 52000 5448 14934 10138.50 grids1x1 2XP = > 70 2XP = good good good 2XP MTX - XX nong nong XX A=

02/20

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.