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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, Salmo salar, All bioregions. Annexes N, N, Y. 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
FI N/A N/A 800 grids1x1 minimum N/A N/A N/A N/A
FR N/A N/A N/A grids1x1 minimum N/A N/A N/A minimum
BE N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
DE 1925 1925 1925 grids1x1 estimate 92 202 147 grids5x5 estimate
DK N/A N/A N/A interval 4500 7500 N/A adults N/A
ES 279 27900 N/A grids1x1 estimate N/A 32 N/A localities estimate
FR 15000 30000 N/A grids1x1 estimate N/A N/A N/A estimate
IE N/A N/A 25315 grids1x1 estimate N/A N/A 202428 adults estimate
NL N/A N/A 165 grids1x1 estimate 500 2000 N/A i estimate
PT N/A N/A 179 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 16216 grids1x1 minimum N/A N/A 709784 adults minimum
EE N/A N/A 351 grids1x1 estimate 12 12 N/A localities N/A
FI N/A N/A 625 grids1x1 estimate N/A N/A 30000 adults mean
LT N/A N/A 2056 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 1064 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 49190 grids1x1 estimate 120186 234855 188107 adults mean
BE 26 26 26 grids1x1 minimum 500 N/A N/A i minimum
CZ N/A N/A 14 grids1x1 estimate N/A N/A 8 grids10x10 estimate
DE 7032 7032 7032 grids1x1 estimate 202 264 233 grids5x5 estimate
DK N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
FR 500 2000 N/A grids1x1 estimate N/A N/A N/A estimate
LU N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 571 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 5846 grids1x1 estimate 6524 17941 10497 adults mean
SE N/A N/A 34456 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
FI ALP 12500 71.84 = N/A N/A 800 grids1x1 minimum a 100 = Y FV = good good good FV FV = FV noChange noChange 6100 a 82.43
FR ALP 4900 28.16 - > N/A N/A N/A grids1x1 minimum c 0 = >> Unk Unk U2 = poor poor poor U1 U2 - U2 x noChange noChange 1300 b 17.57
BE ATL 1200 0.32 u >> N/A N/A N/A grids1x1 minimum b 0 = >> N N U2 = poor poor bad U2 U2 x N/A N/A knowledge knowledge 100 b 0.04
DE ATL 18547 4.89 = 29066 1925 1925 1925 grids1x1 estimate b 2.39 = >> grids5x5 N N U1 = poor unk poor U1 U2 = U2 + noChange knowledge 7300 c 2.58
DK ATL 5327 1.41 = N/A N/A N/A interval a 0 + > Unk Unk XX x good good unk FV U1 + U1 + N/A N/A 2200 a 0.78
ES ATL 40400 10.66 - >> 279 27900 N/A grids1x1 estimate b 17.53 - 32 localities N Unk U1 = bad bad poor U2 U2 - U2 - noChange noChange 28000 a 9.89
FR ATL 78300 20.66 = >> 15000 30000 N/A grids1x1 estimate b 27.99 = > N N U2 = poor poor poor U1 U2 = U2 = noChange noChange 37600 b 13.29
IE ATL 61900 16.33 = N/A N/A 25315 grids1x1 estimate b 31.49 - 258414 adults Y FV = good poor good U1 U1 = U1 = noChange noChange 60900 b 21.52
NL ATL 11200 2.95 = N/A N/A 165 grids1x1 estimate b 0.21 - >> Unk XX = good poor unk U1 U2 - U2 = noChange genuine 11000 b 3.89
PT ATL 2400 0.63 = >> N/A N/A 179 grids1x1 minimum b 0.22 - >> N Y U1 = poor bad poor U2 U2 - U2 - noChange noChange 1400 b 0.49
UK ATL 159801.70 42.16 + N/A N/A 16216 grids1x1 minimum b 20.17 - 741000 adults Y FV + good poor good U1 U1 = U1 = noChange noChange 134500 a 47.53
EE BOR 6100 3.24 + > N/A N/A 351 grids1x1 estimate a 0.66 + > Y U1 + good good good FV U1 + U1 + genuine noChange 3700 a 5.61
FI BOR 9300 4.94 + N/A N/A 625 grids1x1 estimate a 1.17 + Y FV = good good good FV FV + FV noChange noChange 3300 a 5
LT BOR 65107 34.57 = N/A N/A 2056 grids1x1 minimum b 3.86 + > Y FV = good good good FV FV + FV knowledge knowledge 17100 b 25.91
LV BOR 11300 6 = N/A N/A 1064 grids1x1 estimate a 2 = 1560 grids1x1 Y U1 - good poor poor U1 U1 - U2 = noChange noChange 8100 a 12.27
SE BOR 96500 51.25 = 96500 N/A N/A 49190 grids1x1 estimate a 92.31 + 101000 adults N Unk U1 + good good poor U1 U1 + U1 + noChange noChange 33800 a 51.21
BE CON 4600 5.01 u >> 26 26 26 grids1x1 minimum b 0.18 + >> N N U2 = good good good FV U2 x N/A N/A knowledge knowledge 1600 b 4.75
CZ CON 2800 3.05 = 5700 N/A N/A 14 grids1x1 estimate c 0.09 = >> N N U2 = bad bad bad U2 U2 = U2 = noChange noChange 800 c 2.37
DE CON 39142 42.67 + >> 7032 7032 7032 grids1x1 estimate b 47.71 + >> grids5x5 N N U1 + unk unk poor XX U2 + U2 + noChange noChange 11100 c 32.94
DK CON N/A 0 = >> N/A N/A N/A grids1x1 estimate a 0 = >> Unk Unk XX x bad bad unk U2 U2 = U2 x N/A N/A 100 a 0.30
FR CON 31300 34.12 = >> 500 2000 N/A grids1x1 estimate b 8.48 u > N N U2 = poor poor poor U1 U2 = U2 = noChange noChange 13700 b 40.65
LU CON N/A 0 = >> N/A N/A N/A grids1x1 estimate a 0 = >> N Unk U1 = bad bad poor U2 U2 = U2 + noChange noChange N/A d 0
PL CON 2200 2.40 u x N/A N/A 571 grids1x1 estimate b 3.87 u x N Y U2 u bad bad bad U2 U2 x U2 + noChange knowledge 1200 c 3.56
SE CON 11700 12.75 = 11400 N/A N/A 5846 grids1x1 estimate a 39.66 = 7000 adults N Unk U1 + good good poor U1 U1 + U2 + genuine knowledge 5200 a 15.43
SE ALP 8400 0 N N/ N/A N/A 34456 grids1x1 estimate a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A U1 + N/A N/A 2200 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 17400 1 - > 800 800 800 grids1x1 1 = > 2GD = 2GD MTX - U1 + nc nong U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 377875 2XP + >> 59079 101700 80389 grids1x1 2XP - >> 2XP = poor poor poor 2XP MTX = U2 = nc nc U2 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 188307 2GD = 53286 53286 53286 grids1x1 2GD + 2GD + good poor poor 2GD MTX + U1 + nc nc U1 B1

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 84342 2GD + >> 13949 15449 14699 grids1x1 2GD + >> 2GD + 2GD MTX + U2 + nc nc U2 B1

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.