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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, Alosa fallax, All bioregions. Annexes II, V. 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
BE N/A N/A 48 grids1x1 estimate N/A N/A N/A N/A
DE 13623 13623 13623 grids1x1 minimum 125 155 140 grids5x5 minimum
ES 150 210 N/A grids1x1 estimate 3 N/A N/A localities minimum
FR 1000 3000 N/A grids1x1 estimate N/A N/A N/A estimate
IE N/A N/A 69 grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 60 grids1x1 estimate N/A 100 N/A i estimate
PT N/A N/A 214 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 167 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 476 grids1x1 interval N/A N/A N/A N/A
LV N/A N/A 1763 grids1x1 estimate N/A N/A N/A N/A
DE 12019 12019 12019 grids1x1 estimate 18 37 27.50 grids5x5 estimate
IT 1265 1811 N/A grids1x1 estimate N/A N/A N/A estimate
PL N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
ES 259 291 N/A grids1x1 estimate 4 N/A N/A localities minimum
FR 1000 3000 N/A grids1x1 estimate N/A N/A N/A estimate
GR N/A N/A 4775 grids1x1 estimate N/A N/A 191 grids5x5 estimate
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
IT 512 2335 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 675 grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A minimum N/A N/A N/A N/A
DK N/A N/A N/A minimum N/A N/A N/A N/A
MT 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
BE ATL 1900 1.81 + N/A N/A 48 grids1x1 estimate a 0.29 + > N Y U1 + good poor poor U1 U1 + U2 + genuine noChange 1200 a 3.39
DE ATL 48173 45.99 = 48173 13623 13623 13623 grids1x1 minimum c 83.27 x > grids5x5 N N U2 x good unk unk XX U2 x U2 = method method 2900 c 8.19
ES ATL 2300 2.20 = > 150 210 N/A grids1x1 estimate a 1.10 - 210 grids1x1 N Unk U1 = bad bad bad U2 U2 - U2 = noChange genuine 1200 b 3.39
FR ATL 23700 22.62 = > 1000 3000 N/A grids1x1 estimate b 12.22 - >> Unk Unk U2 = poor bad poor U2 U2 - U2 - noChange noChange 11900 a 33.62
IE ATL 2700 2.58 = >> N/A N/A 69 grids1x1 estimate c 0.42 = >> N Y U1 = bad bad poor U2 U2 = U2 = noChange noChange 1600 b 4.52
NL ATL 4300 4.10 = N/A N/A 60 grids1x1 estimate c 0.37 = >> N N U2 = bad bad bad U2 U2 = U2 = noChange noChange 4300 c 12.15
PT ATL 3000 2.86 = > N/A N/A 214 grids1x1 minimum b 1.31 u x N Y U1 = poor poor poor U1 U1 = U1 = noChange noChange 1700 b 4.80
UK ATL 18682.01 17.83 = > N/A N/A 167 grids1x1 minimum b 1.02 u > N N U1 = poor poor poor U1 U1 = U1 + noChange noInfo 10600 b 29.94
LT BOR 319.60 0.88 = N/A N/A 476 grids1x1 interval b 21.26 - 476 grids1x1 Y U1 = good poor poor U2 U2 - FV knowledge knowledge 1000 b 13.89
LV BOR 35900 99.12 = N/A N/A 1763 grids1x1 estimate b 78.74 = 1763 grids1x1 Y FV = good good good FV FV = XX knowledge knowledge 6200 b 86.11
DE CON 20597 55.37 x 20597 12019 12019 12019 grids1x1 estimate c 88.66 = >> grids5x5 Unk XX x unk unk unk XX U2 x U2 + noChange method 800 c 9.30
IT CON 16600 44.63 + >> 1265 1811 N/A grids1x1 estimate b 11.34 + > Y FV = good poor poor U1 U2 + U2 + genuine genuine 7800 b 90.70
PL CON N/A 0 - x N/A N/A N/A grids1x1 estimate a 0 - x N N U2 - unk bad bad U2 U2 - U2 x noChange method N/A a 0
ES MED 5300 10.38 - >> 259 291 N/A grids1x1 estimate b 3 = 291 grids1x1 N N U1 = bad bad poor U2 U2 = U2 = noChange noChange 4100 b 12.89
FR MED 13300 26.04 + > 1000 3000 N/A grids1x1 estimate b 21.85 = > Unk Unk U1 + good poor good U1 U1 + U2 + noChange noChange 5500 a 17.30
GR MED 4775 9.35 x x N/A N/A 4775 grids1x1 estimate c 52.17 - x N Unk U2 x unk unk bad U2 U2 - U2 - noChange noChange 8700 c 27.36
HR MED 300 0.59 x x N/A N/A 5 grids1x1 minimum c 0.05 x > Y U1 - unk unk poor XX U1 x N/A N/A 300 c 0.94
IT MED 19700 38.57 = >> 512 2335 N/A grids1x1 estimate b 15.55 = >> Y U1 - poor poor poor U1 U2 - U2 + noChange noChange 7300 b 22.96
PT MED 7700 15.08 = > N/A N/A 675 grids1x1 minimum b 7.37 u x N Y U1 = poor poor poor U1 U1 = U1 = noChange noChange 5900 b 18.55
DK ATL N/A 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A N/A N/A 0
DK CON N/A 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A N/A N/A 0
MT MED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/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 ATL 104755 1 = > 15331 17391 16361 grids1x1 2XP x >> 2XP 2XP MTX x U2 - nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 36219 0EQ = 2239 grids1x1 2XP = x 2XP = 2XP 3XR = XX nong nong XX A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 37197 1 x >> 13284 13830 grids1x1 2XP = >> 2XP x 2XP MTX x U2 + nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 51075 1 + >> 7226 11081 9153 grids1x1 2XP - x 2XP x 2XP MTX - U2 - nc nc U2 C

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.