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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.

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, Ruscus aculeatus, 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
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
ES 86 8600 N/A grids1x1 estimate N/A N/A 86 grids10x10 estimate
FR 242 716 N/A grids1x1 mean 242 716 350 grids1x1 mean
IT 2500 4000 N/A grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
ES 580 58000 N/A grids1x1 minimum N/A N/A 580 grids10x10 estimate
FR 4000000 5000000 N/A grids1x1 interval 400000000 500000000 N/A adults interval
PT N/A N/A 276 grids1x1 minimum N/A N/A 12000 i estimate
UK N/A N/A 1033 grids1x1 minimum N/A N/A 338 grids10x10 N/A
BG N/A N/A 25 grids1x1 minimum N/A N/A N/A N/A
RO 10 40 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 28 grids1x1 minimum N/A N/A N/A N/A
FR N/A N/A N/A estimate 614 614 N/A grids10x10 estimate
HR N/A N/A 113 grids1x1 minimum N/A N/A N/A N/A
IT 7400 10000 N/A grids1x1 minimum N/A N/A N/A N/A
RO 1500 7000 N/A grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 24 grids1x1 minimum N/A N/A N/A N/A
ES 1615 161500 N/A grids1x1 minimum N/A N/A 1615 grids10x10 estimate
FR N/A N/A N/A minimum 509 682 N/A grids10x10 minimum
GR N/A N/A 24520 grids1x1 estimate N/A N/A 288 grids10x10 estimate
HR N/A N/A 474 grids1x1 minimum N/A N/A N/A N/A
IT 40300 60500 N/A grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 2392 grids1x1 minimum N/A N/A 388000 i estimate
HU N/A N/A 1700 grids1x1 estimate N/A N/A N/A N/A
RO 1200 2500 N/A grids1x1 estimate N/A N/A N/A N/A
RO 100 400 N/A grids1x1 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
BG ALP 1700 2.57 = 1700 N/A N/A 3 grids1x1 minimum b 0.04 = 3 grids1x1 Y FV = good good good FV FV = FV noChange noChange 700 b 2.43
ES ALP 16300 24.62 = ≈ 86 8600 N/A grids1x1 estimate b 53.76 x 86 grids1x1 Y FV x good good good FV FV x FV noChange noChange 5400 b 18.75
FR ALP 15000 22.66 = ≈ 242 716 N/A grids1x1 mean b 5.93 u ≈ Unk Unk FV x unk unk unk XX FV x FV noChange noChange 8800 a 30.56
IT ALP 32500 49.10 = ≈ 2500 4000 N/A grids1x1 minimum c 40.23 = ≈ Y FV = good good good FV FV = FV noChange noChange 13600 b 47.22
SI ALP 697 1.05 = ≈ N/A N/A 4 grids1x1 minimum c 0.05 = 4 grids1x1 Y FV = good good good FV FV = FV noChange noChange 300 c 1.04
ES ATL 68400 16.84 = ≈ 580 58000 N/A grids1x1 minimum b 0.65 x 580 grids1x1 Y FV x good good good FV FV x FV noChange noChange 53300 b 17.37
FR ATL 266100 65.50 + ≈ 4000000 5000000 N/A grids1x1 interval b 99.32 + ≈ Y Unk FV = good unk good FV FV + FV N/A N/A 217200 a 70.77
PT ATL 5500 1.35 = ≈ N/A N/A 276 grids1x1 minimum c 0.01 = ≈ Y FV = good good good FV FV = FV noChange knowledge 3700 b 1.21
UK ATL 66268.40 16.31 = 26322 N/A N/A 1033 grids1x1 minimum b 0.02 = 206 grids10x10 Y FV = good good good FV FV = FV noChange noChange 32700 a 10.65
BG BLS 3100 96.88 = 3100 N/A N/A 25 grids1x1 minimum b 50 = 25 grids1x1 Y FV = good good good FV FV = FV noChange noChange 1100 b 91.67
RO BLS 100 3.13 = > 10 40 N/A grids1x1 estimate a 50 = 50 grids1x1 Y FV = good good good FV FV = U1 N/A noChange noChange 100 a 8.33
BG CON 6400 3.24 = 6400 N/A N/A 28 grids1x1 minimum b 0.21 = 28 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2000 b 2.15
FR CON 97000 49.13 = ≈ N/A N/A N/A estimate a 0 = ≈ Unk Unk FV = good good good FV FV = FV noChange noChange 53000 a 57.05
HR CON 9600 4.86 x x N/A N/A 113 grids1x1 minimum c 0.86 x x Unk XX x unk unk unk XX XX N/A N/A 4500 d 4.84
IT CON 75300 38.14 = ≈ 7400 10000 N/A grids1x1 minimum c 66.34 = ≈ Y FV = good good good FV FV = FV noChange noChange 29000 b 31.22
RO CON 7300 3.70 = > 1500 7000 N/A grids1x1 estimate b 32.41 = 8000 grids1x1 Y FV = good good good FV FV = FV noChange noChange 3300 a 3.55
SI CON 1835 0.93 = ≈ N/A N/A 24 grids1x1 minimum c 0.18 = 24 grids1x1 Y FV = good good good FV FV = FV noChange noChange 1100 c 1.18
ES MED 330300 43.03 = ≈ 1615 161500 N/A grids1x1 minimum a 51.18 x 1615 grids1x1 Y FV x good good good FV FV x FV noChange noChange 166500 b 39.01
FR MED 78700 10.25 = ≈ N/A N/A N/A minimum b 0 = < Y Unk FV = good good good FV FV = FV noChange noChange 63500 a 14.88
GR MED 76200 9.93 = ≈ N/A N/A 24520 grids1x1 estimate a 15.39 = ≈ Y FV = good good good FV FV = FV noChange noChange 28800 a 6.75
HR MED 28800 3.75 x ≈ N/A N/A 474 grids1x1 minimum c 0.30 x x Y XX x unk unk unk XX XX N/A N/A 17200 d 4.03
IT MED 170200 22.17 = ≈ 40300 60500 N/A grids1x1 minimum b 31.63 = ≈ Y FV = good good good FV FV = FV noChange noChange 101600 b 23.81
PT MED 83400 10.87 = ≈ N/A N/A 2392 grids1x1 minimum c 1.50 = ≈ Y FV = good good good FV FV = FV noChange knowledge 49200 b 11.53
HU PAN 6233 83.86 = ≈ N/A N/A 1700 grids1x1 estimate a 47.89 = ≈ Y FV = good good good FV FV = FV noChange noChange 6400 a 91.43
RO PAN 1200 16.14 = > 1200 2500 N/A grids1x1 estimate b 52.11 = 3000 grids1x1 Y FV = good good good FV FV = FV noChange noChange 600 a 8.57
RO STE 400 100 = > 100 400 N/A grids1x1 estimate a 100 = 500 grids1x1 Y FV = good good good FV FV = U1 N/A noChange noChange 300 a 100
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 66197 0EQ = ≈ 66197 2835 13323 8079 grids1x1 0EQ x 0EQ x 2XP MTX x FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 ATL 406268 0EQ + ≈ 366322 4001889 5059309 4530599 grids1x1 0EQ + 0EQ = 0EQ MTX + FV x nc nong FV A=

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 BLS 3200 0EQ = < 3210 35 65 50 grids1x1 0EQ = ≈ 75 grids1x1 0EQ = good good good 0EQ MTX = FV x nc nong FV A=

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 CON 197435 1 = x 197435 9065 17165 13115 grids1x1 2GD = 2GD = good good good 2GD MTX = FV x nc nong FV A=

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 MED 767600 1 = ≈ 767600 69301 249386 159343 grids1x1 1 x ≈ 159343 grids1x1 2GD x good good good 2GD MTX = FV x nc nong FV A=

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 PAN 7433 0EQ = ≈ 7433 2900 4200 3550 grids1x1 0EQ = ≈ 4700 grids1x1 0EQ = good good good 0EQ MTX = FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 STE 400 0MS = > 400 100 400 250 grids1x1 0MS = ≈ 500 grids1x1 0MS = good good good 0MS MTX = U1 x gen nong U1 A+

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
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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.