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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, Mammals, Phocoena phocoena, All bioregions. Annexes Y, Y, N. Show all Mammals
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 1048 20042 N/A i estimate N/A N/A N/A N/A
DE 16450 45906 27000 i interval 16450 45906 27000 i interval
DK 246526 495752 345373 i interval N/A N/A N/A i N/A
ES 1350 5406 2898 i interval N/A N/A N/A N/A
FR 13000 47000 N/A i interval N/A N/A N/A interval
IE 29519 51840 N/A i interval N/A N/A N/A N/A
NL 41300 76800 N/A i estimate N/A N/A N/A N/A
PT N/A N/A 1531 i mean N/A N/A N/A N/A
SE 10623 90744 27313 i interval N/A N/A N/A N/A
UK 163294 239063 197579 i interval N/A N/A N/A N/A
DE 1913 5275 3198 i interval 1913 5275 3198 i interval
DK 23448 77749 42821 i interval N/A N/A N/A N/A
PL N/A N/A 1 i minimum N/A N/A N/A N/A
SE 100 960 480 i interval N/A N/A N/A N/A
BG 116 8850 N/A i estimate N/A N/A N/A N/A
RO 3159 20563 N/A i interval N/A N/A N/A N/A
GR 30 300 N/A i estimate N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
LV N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i 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
BE MATL 3451 0.23 = 3451 1048 20042 N/A i estimate a 1.42 = x Y XX x good unk unk XX XX U1 = knowledge noInfo 3800 a 0.33
DE MATL 41244 2.76 = 41243 16450 45906 27000 i interval b 3.64 u x i N Y U1 = good unk poor U1 U1 = U1 = noChange noChange 39800 b 3.45
DK MATL 76600 5.12 = 246526 495752 345373 i interval a 46.55 = Unk Unk XX = good good unk FV FV = FV noChange noChange 83200 c 7.21
ES MATL 9118.32 0.61 - x 1350 5406 2898 i interval a 0.39 - x Unk XX x poor poor unk U1 U1 - U1 x genuine genuine 14000 b 1.21
FR MATL 186700 12.48 + 13000 47000 N/A i interval b 4.04 + x Unk Unk XX x poor poor poor U1 U1 = U2 x noChange noChange 182300 b 15.79
IE MATL 400000 26.74 = 400000 29519 51840 N/A i interval a 5.48 u Y FV = good good good FV FV = FV noChange noChange 170000 b 14.73
NL MATL 72400 4.84 = 41300 76800 N/A i estimate a 7.96 = Y FV = good unk unk XX FV = U1 + genuine noChange 66200 b 5.73
PT MATL 25704 1.72 = N/A N/A 1531 i mean a 0.21 - > N N U2 - good bad bad U2 U2 - U1 - genuine noChange 34100 a 2.95
SE MATL 20200 1.35 = 20200 10623 90744 27313 i interval b 3.68 u 23000 i Y FV = good unk unk XX FV = U2 x knowledge method 15200 b 1.32
UK MATL 660484 44.15 = 660484 163294 239063 197579 i interval a 26.63 x x Unk XX x good unk good FV XX x FV method noChange 545800 a 47.28
DE MBAL 14847 11.94 = 14847 1913 5275 3198 i interval b 6.88 + >> i N N U2 = good bad bad U2 U2 + U2 = noChange genuine 13900 b 11.71
DK MBAL 28700 23.08 = 23448 77749 42821 i interval a 92.09 = >> Unk Unk XX = good bad unk U2 U2 = U2 x noChange genuine 38100 c 32.10
PL MBAL 42100 33.86 = N/A N/A 1 i minimum b 0 u >> N N U2 = good bad bad U2 U2 = U2 - noChange knowledge 33700 b 28.39
SE MBAL 38700 31.12 u 38700 100 960 480 i interval a 1.03 x 7500 i N N U1 x good bad unk U2 U2 x U2 x noChange noChange 33000 b 27.80
BG MBLS 32300 56.67 = 32300 116 8850 N/A i estimate a 27.43 x 8539 i Y FV = poor poor poor U1 U1 = XX knowledge knowledge 11300 a 31.30
RO MBLS 24700 43.33 = 3159 20563 N/A i interval a 72.57 = > Y FV = good poor good U1 U1 = U2 - noChange knowledge 24800 b 68.70
GR MMED 6211 100 x x 30 300 N/A i estimate b 100 - > N Unk U2 - unk unk bad U2 U2 - U2 - noChange noChange 4700 b 100
FI MBAL 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 5100 a 0
LV MBAL 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 XX N/A N/A N/A N/A 0
ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
ES MMED N/A 0 x x N/A N/A N/A i estimate c 0 N x Unk XX N unk unk unk XX XX XX noInfo noInfo N/A b 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 MMAC 0MS x x 0MS x x 0MS x unk unk unk 0MS MTX x XX x nc nc XX D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MATL 1495901.32 1 = ≈ 1495900 524641 1074084 741968 i 1 = ≈ 741968 i 2XP = good good unk 2XP MTX = FV nc nc FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MBAL 124347 0EQ = ≈ 124347 100 1000 500 adults 0EQ = >> 7500 i 2XP x good bad poor 0EQ MTX x U2 x nc nc U2 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MBLS 57000 0EQ = ≈ 57000 3275.00 29413.00 16344 adults 1 x > 16344 adults 0EQ = good unk good 0EQ MTX = U2 x nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MMED 0MS x ≈ 6211 30 300 165 adults 0MS - > 165 0MS - unk unk bad 0MS MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
NL MATL 2XP 2XP poor 2XP MTX FV FV 0/2

03/20

International Fund for Animal Welfare Nederla

Institution: International Fund for Animal Welfare Nederla

Member State: NL

International Fund for Animal Welfare Nederla
NL MATL 2XP 2XP poor 2XP MTX FV FV 0/2

03/20

Stichting SOS Dolfijn

Institution: Stichting SOS Dolfijn

Member State: NL

Stichting SOS Dolfijn
NL MATL 2XP 2XP poor 2XP MTX 0/2

03/20

World Wide Fund For Nature

Institution: World Wide Fund For Nature

Member State: NL

World Wide Fund For Nature
EU28 MATL 2XP 2XP 2XP MTX FV FV 0/2

03/20

Stichting Rugvin

Institution: Stichting Rugvin

Member State: NL

Stichting Rugvin
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.