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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, Castor fiber, All bioregions. Annexes N, N, Y. 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
AT 1100 1300 N/A i estimate N/A N/A N/A N/A
DE 50 100 N/A i estimate 12 12 12 grids5x5 estimate
FR 800 2000 N/A i estimate N/A N/A N/A estimate
PL N/A N/A 1000 i estimate N/A N/A N/A N/A
RO 800 900 N/A i estimate N/A N/A N/A N/A
SE 3000 7000 5000 i estimate N/A N/A N/A N/A
SK 70 100 N/A i estimate N/A N/A N/A N/A
BE 360 610 N/A i estimate 586 631 N/A grids1x1 estimate
DE 1000 5000 N/A i minimum 190 191 190.50 grids5x5 minimum
DK N/A N/A 46 colonies estimate 166 202 N/A i N/A
FR 5000 16000 N/A i estimate N/A N/A N/A estimate
NL 1500 3000 N/A i estimate N/A N/A N/A N/A
EE 12000 15300 N/A i mean N/A N/A N/A N/A
FI 3300 4500 3900 i estimate 1000 1300 1150 colonies estimate
LT 40406 49446 N/A i estimate N/A N/A N/A N/A
LV 58397 79461 N/A i estimate N/A N/A N/A N/A
SE 100000 150000 125000 i estimate N/A N/A N/A N/A
AT 6000 6500 N/A i estimate N/A N/A N/A N/A
BE 2000 3000 2000 i minimum 660 1450 660 grids1x1 minimum
CZ 2500 8000 N/A i estimate N/A N/A N/A N/A
DE 10000 50000 30000 i estimate 2909 2912 2910.50 grids5x5 estimate
FR 7500 22000 N/A i estimate N/A N/A N/A estimate
HR 1724 10344 N/A i estimate N/A N/A N/A N/A
LU 30 50 N/A i estimate N/A N/A 20 colonies minimum
PL 35000 40000 N/A i estimate N/A N/A N/A N/A
RO 1100 1200 N/A i estimate N/A N/A N/A N/A
SE 6 20 13 i estimate N/A N/A N/A N/A
SI 1000 2000 N/A i estimate N/A N/A 1247 grids1x1 N/A
ES 617 807 N/A i estimate N/A N/A N/A N/A
FR 4000 13000 N/A i estimate N/A N/A N/A estimate
CZ 500 2000 N/A i estimate N/A N/A N/A N/A
HU N/A N/A 3672 i minimum N/A N/A N/A N/A
RO 40 60 N/A i estimate N/A N/A N/A N/A
SK 405 1248 N/A i estimate N/A N/A N/A N/A
RO 300 350 N/A i estimate N/A N/A N/A N/A
ES 1 N/A N/A i minimum 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
AT ALP 17200 14.29 + > 1100 1300 N/A i estimate a 12.49 + > Y FV = good good good FV U1 + U1 + noChange noChange 13500 a 17.29
DE ALP 1506 1.25 + 1506 50 100 N/A i estimate b 0.78 + 12 grids5x5 Y FV = good good good FV FV + FV noChange genuine 700 a 0.90
FR ALP 8300 6.90 + 800 2000 N/A i estimate b 14.57 + < Y FV = good good unk FV FV + FV method method 6700 b 8.58
PL ALP 14600 12.13 = N/A N/A 1000 i estimate c 10.41 = Y FV = good good good FV FV = FV noChange noInfo 7500 b 9.60
RO ALP 13900 11.55 + 800 900 N/A i estimate a 8.84 + 240 i Y FV + good good good FV FV + FV genuine genuine 3500 a 4.48
SE ALP 42000 34.90 + 42000 3000 7000 5000 i estimate c 52.03 + 5000 i Y FV = good good good FV FV + FV noChange noChange 33200 b 42.51
SK ALP 22834.18 18.97 + 70 100 N/A i estimate a 0.88 + Y FV = good poor poor U1 U1 + FV knowledge knowledge 13000 b 16.65
BE ATL 12600 12.84 + 360 610 N/A i estimate b 2.99 + > N Y U1 + good good good FV U1 + U2 + genuine noChange 8000 a 10.40
DE ATL 26773 27.29 + > 1000 5000 N/A i minimum a 18.48 + > grids5x5 Y FV + poor poor good U1 U1 + FV method noChange 12500 a 16.25
DK ATL 2923 2.98 + >> N/A N/A 46 colonies estimate b 0 + >> N Y FV = poor poor good U1 U1 + N/A N/A N/A N/A 1900 b 2.47
FR ATL 37100 37.82 + 5000 16000 N/A i estimate b 64.68 + < Y FV = good good unk FV FV + FV method method 38700 b 50.33
NL ATL 18700 19.06 + 1500 3000 N/A i estimate b 13.86 + Y FV + good good good FV FV + U1 + genuine noChange 15800 a 20.55
EE BOR 54100 10.53 + 12000 15300 N/A i mean b 5.32 = 5000 i Y FV = good good good FV FV + FV noChange noChange 53100 a 12.10
FI BOR 26900 5.23 + 3300 4500 3900 i estimate a 1.52 + Y FV + good good good FV FV + U1 = genuine genuine 15100 a 3.44
LT BOR 64700 12.59 = 40406 49446 N/A i estimate a 17.52 = Y FV = good good good FV FV = FV noChange noChange 68400 b 15.58
LV BOR 64589 12.57 = 64589 58397 79461 N/A i estimate b 26.88 - 50000 i Y FV x good good unk FV FV x FV noChange noChange 20000 d 4.56
SE BOR 303600 59.08 + 303600 100000 150000 125000 i estimate c 48.75 + 125000 i Y FV = good good good FV FV + FV noChange noChange 282300 b 64.32
AT CON 32500 4.19 + 6000 6500 N/A i estimate a 5.98 + Y FV = good good good FV FV + FV noChange genuine 25900 a 4.86
BE CON 13700 1.77 + > 2000 3000 2000 i minimum a 1.91 + Y FV = good good good FV FV + FV noChange noChange 10500 a 1.97
CZ CON 66600 8.59 + 2500 8000 N/A i estimate b 5.02 + Y FV + good good good FV FV + FV noChange noChange 26300 a 4.94
DE CON 224585 28.97 + 224585 10000 50000 30000 i estimate b 28.71 + 2910 grids5x5 Y FV + good good unk FV FV + FV noChange noChange 138900 a 26.06
FR CON 59300 7.65 + 7500 22000 N/A i estimate b 14.12 + < Y FV = good good unk FV FV + FV method method 61800 b 11.60
HR CON 31889 4.11 + x 1724 10344 N/A i estimate b 5.77 + x Y FV u good good good FV FV = N/A N/A 29000 c 5.44
LU CON 2600 0.34 + 3500 30 50 N/A i estimate a 0.04 + >> N Y FV + good poor good U1 U2 + U2 + noChange genuine 1100 a 0.21
PL CON 310700 40.08 = 35000 40000 N/A i estimate c 35.89 = Y FV = good good good FV FV = FV noChange noInfo 218000 b 40.91
RO CON 23400 3.02 + 1100 1200 N/A i estimate a 1.10 + 140 i Y FV + good good good FV FV + FV genuine genuine 13000 a 2.44
SE CON 2800 0.36 + 1700 6 20 13 i estimate c 0.01 + 13 i N Y FV = good good good FV FV + FV noChange noChange 1700 b 0.32
SI CON 7173 0.93 + 1000 2000 N/A i estimate b 1.44 + Y FV + good good good FV FV + U1 + genuine noChange 6700 b 1.26
ES MED 10800 28.42 + 617 807 N/A i estimate a 7.73 + 807 i Y FV = good good good FV FV + N/A N/A genuine genuine 3100 a 10.37
FR MED 27200 71.58 + 4000 13000 N/A i estimate b 92.27 + < Y FV = good good unk FV FV + FV method method 26800 b 89.63
CZ PAN 5900 10.83 + 500 2000 N/A i estimate b 21.56 + Y FV = good good good FV FV + FV noChange noChange 2600 a 5.52
HU PAN 36538 67.06 + N/A N/A 3672 i minimum b 63.33 + Y FV + good good good FV FV + FV noChange method 37500 b 79.62
RO PAN 1500 2.75 + 40 60 N/A i estimate a 0.86 + 18 i Y FV + good good good FV FV + FV genuine genuine 1200 a 2.55
SK PAN 10550.41 19.36 + 405 1248 N/A i estimate a 14.25 + Y FV + good poor poor U1 U1 + FV knowledge knowledge 5800 b 12.31
RO STE 3100 100 + x 300 350 N/A i estimate a 100 + 200 i Y FV + good good good FV FV + N/A N/A genuine genuine 2100 a 100
ES ATL 600 0 + 1 N/A N/A i minimum a 0 + 1 i Y FV = good good good FV FV + N/A N/A genuine genuine 100 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 2XP + i 2XP + > 2XP = good good good 2XP MTX + FV = nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XP + i 2XP + < 2XP = good good good 2XP MTX + U1 + nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 0EQ + i 2XP + i 0EQ = good good good 0EQ MTX + FV = nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP + i 2XP + 0EQ = good good good 2XP MTX + FV = nc nong U1 A+

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 0EQ + i 0EQ + < 0EQ = good good unk 0EQ MTX + FV = nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 0EQ + i 2XP + 0EQ + good good good 2XP MTX + FV = nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 0MS + x i 0MS + 200 i 0MS + good good good 0MS MTX + nong nong A=

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.