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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.

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, Fish, Lampetra planeri, All bioregions. Annexes N, N, N. Show all Fish
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
FR 100 500 N/A grids1x1 estimate N/A N/A N/A estimate
PL N/A N/A 337 grids1x1 estimate N/A N/A N/A N/A
SK 20 20 N/A grids1x1 estimate 500 1500 N/A i N/A
BE N/A N/A 54 grids1x1 estimate 20 82857 N/A i estimate
DE 1010 1010 1010 grids1x1 minimum 404 425 414.50 grids5x5 minimum
DK N/A N/A N/A estimate N/A N/A 43 grids10x10 N/A
ES 5 37 N/A grids1x1 estimate 1200 2200 N/A i estimate
FR 5000 10000 N/A grids1x1 estimate N/A N/A N/A estimate
IE N/A N/A 1221 grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 144 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 1865 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 887 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 2500 grids1x1 minimum N/A N/A 235 localities minimum
LT N/A N/A 784 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 27286 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 137756 grids1x1 estimate 4732990 9451480 7092240 adults mean
AT N/A N/A 260 grids1x1 estimate N/A N/A N/A N/A
BE 114 1300 114 grids1x1 minimum 6200 75000 6200 i minimum
CZ N/A N/A 452 grids1x1 estimate N/A N/A 176 grids10x10 estimate
DE 2171 2171 2171 grids1x1 estimate 1386 1424 1405 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 72 grids10x10 N/A
FR 5000 10000 N/A grids1x1 estimate N/A N/A N/A estimate
IT 16 96 N/A grids1x1 estimate N/A N/A N/A N/A
LU 450 550 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 14160 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 6500 grids1x1 estimate 188182 409091 298636 adults mean
FR N/A N/A 100 grids1x1 estimate N/A N/A N/A estimate
IT 410 1652 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 37 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 1020 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
FR ALP 4800 56.14 = 100 500 N/A grids1x1 estimate b 45.66 = Unk Unk XX = poor poor poor U1 U1 = U1 - noChange noChange 600 b 30
PL ALP 2900 33.92 u x N/A N/A 337 grids1x1 estimate b 51.29 x x Unk XX x unk unk unk XX XX XX noChange noChange 500 b 25
SK ALP 850.14 9.94 x > 20 20 N/A grids1x1 estimate c 3.04 x Y FV x unk good good FV FV x U1 x knowledge N/A 900 b 45
BE ATL 11000 2.15 + N/A N/A 54 grids1x1 estimate b 0.46 = > N N U2 + good poor poor U1 U2 + U2 - noChange knowledge 2100 a 1.06
DE ATL 56448 11.02 = 1010 1010 1010 grids1x1 minimum b 8.55 = grids5x5 Unk XX - good good unk FV FV - FV noChange genuine 27900 b 14.11
DK ATL 9840 1.92 = N/A N/A N/A estimate a 0 = Y FV = good good good FV FV = FV N/A N/A 4400 a 2.23
ES ATL 500 0.10 = x 5 37 N/A grids1x1 estimate b 0.18 u 37 grids1x1 Unk FV u poor poor good U1 U1 x U1 x noChange knowledge 500 a 0.25
FR ATL 210100 41.02 = 5000 10000 N/A grids1x1 estimate b 63.48 = Unk Unk XX = good good poor U1 U1 = U1 = noChange noChange 48400 b 24.48
IE ATL 52000 10.15 = N/A N/A 1221 grids1x1 estimate b 10.33 = Y FV = good good good FV FV = FV noChange noChange 38200 b 19.32
NL ATL 3200 0.62 = >> N/A N/A 144 grids1x1 estimate b 1.22 = >> N N U2 = poor bad bad U2 U2 = U2 + noChange knowledge 2700 a 1.37
UK ATL 169139.04 33.02 = 168863 N/A N/A 1865 grids1x1 minimum b 15.79 x x Unk Unk XX x good unk unk XX XX FV noInfo noInfo 73500 b 37.18
EE BOR 18200 3.75 x N/A N/A 887 grids1x1 minimum b 0.52 x x Y FV = good unk good FV FV x N/A N/A noInfo noInfo 9600 b 5.27
FI BOR 102500 21.13 = N/A N/A 2500 grids1x1 minimum b 1.48 = Y FV = good good good FV FV = FV noChange method 21700 b 11.92
LT BOR 64787 13.35 = N/A N/A 784 grids1x1 minimum c 0.46 - 784 grids1x1 N Y U1 x good poor poor U1 U1 x FV knowledge knowledge 7500 b 4.12
LV BOR 64589 13.31 = 64589 N/A N/A 27286 grids1x1 estimate b 16.13 = 27286 grids1x1 Y FV = good good good FV FV = FV noChange noChange 67300 a 36.96
SE BOR 235100 48.46 = 220300 N/A N/A 137756 grids1x1 estimate a 81.41 + 3810000 adults Y FV = good good good FV FV + FV noChange N/A 76000 a 41.74
AT CON 2100 0.41 = N/A N/A 260 grids1x1 estimate a 0.82 = > Y U1 - good good poor U1 U1 - U2 - knowledge noChange 1900 a 0.93
BE CON 13500 2.62 = 114 1300 114 grids1x1 minimum b 0.36 = Y FV = good good good FV FV = FV noChange noChange 6400 a 3.14
CZ CON 22300 4.33 = N/A N/A 452 grids1x1 estimate a 1.43 = Y FV = good good poor U1 U1 = U1 = noChange noChange 17000 b 8.33
DE CON 197515 38.39 = 2171 2171 2171 grids1x1 estimate b 6.85 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 92900 b 45.52
DK CON 15805 3.07 = N/A N/A N/A estimate a 0 = Y FV = good good good FV FV = FV N/A N/A 6900 a 3.38
FR CON 157500 30.61 = 5000 10000 N/A grids1x1 estimate b 23.65 = Unk Unk XX = good good poor U1 U1 = U1 = noChange noChange 38800 b 19.01
IT CON 800 0.16 = >> 16 96 N/A grids1x1 estimate b 0.18 = >> Y U1 - poor poor poor U1 U2 - U2 - noChange noChange 300 c 0.15
LU CON 2800 0.54 = >> 450 550 N/A grids1x1 estimate b 1.58 u > N N U1 = bad poor poor U2 U2 = U1 = method noChange 1800 b 0.88
PL CON 85900 16.70 u N/A N/A 14160 grids1x1 estimate b 44.65 = Y FV = good good good FV FV = U1 + knowledge knowledge 29100 b 14.26
SE CON 16300 3.17 = 16300 N/A N/A 6500 grids1x1 estimate a 20.50 = 230000 adults Y FV = good good good FV FV = FV noChange N/A 9000 a 4.41
FR MED 7000 27.34 x N/A N/A 100 grids1x1 estimate c 8.56 x < Unk Unk XX x unk unk unk XX XX x XX noChange noChange 1400 b 15.91
IT MED 13400 52.34 = >> 410 1652 N/A grids1x1 estimate b 88.27 = >> Y U1 - poor poor poor U1 U2 - U2 - noChange noChange 3700 c 42.05
PT MED 5200 20.31 = > N/A N/A 37 grids1x1 minimum b 3.17 = > N Y U1 = poor poor poor U1 U1 = N/A N/A noChange noChange 3700 b 42.05
SE ALP 1900 0 N N/ N/A N/A 1020 grids1x1 estimate a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A FV N/A N/A 500 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 8550 2GD x x 457 857 657 grids1x1 2GD x x 2GD x 2GD MTX x U1 x nong nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 512227 2XP = 9299 14331 11815 grids1x1 2XP = 2XP = 2XP MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 485176 1 = 169213 169213 169213 grids1x1 2XP + 2XP = good good good 2XP MTX + FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 514520 2XP = 29123 35489 31173 grids1x1 2XP = 2XP = 2XP MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 25600 2GD = >> 547 1789 1168 grids1x1 2GD = >> 2GD - poor poor poor 2GD MTX - XX x nong nong C

12/19

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.