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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, Amphibians, Rana temporaria, All bioregions. Annexes N, N, Y. Show all Amphibians
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 N/A N/A 5321 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 259 grids1x1 minimum N/A N/A N/A N/A
DE 3498 3498 3498 grids1x1 estimate 79 79 79 grids5x5 estimate
ES 129 12900 N/A grids1x1 estimate 100000 500000 270681 i estimate
FI N/A N/A 80 grids1x1 minimum N/A N/A N/A N/A
FR 369 36000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
IT 2041 11961 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 88 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 61165 grids1x1 estimate 35000000 75000000 55000000 i estimate
SI N/A N/A 386 grids1x1 minimum N/A N/A N/A N/A
SK 1130 1130 N/A grids1x1 estimate 500000 1000000 N/A i N/A
BE N/A N/A 3252 grids1x1 estimate 294500 791800 N/A i estimate
DE 29648 29648 29648 grids1x1 estimate 977 981 979 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 139 localities N/A
ES 435 43500 N/A grids1x1 estimate 500000 1000000 980839 i estimate
FR N/A N/A N/A minimum N/A N/A N/A minimum
IE N/A N/A 1845 grids1x1 minimum 104000000 310000000 165000000 adults interval
NL N/A N/A 8683 grids1x1 estimate 25000000 50000000 N/A i estimate
UK N/A N/A 10666 grids1x1 minimum N/A N/A 2287 grids10x10 minimum
EE 618 1000 N/A grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 2191 grids1x1 minimum N/A N/A N/A N/A
LT 7500 8000 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 207 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 347915 grids1x1 estimate 150000000 350000000 250000000 i estimate
AT 1623 1623 N/A grids1x1 minimum N/A N/A N/A N/A
BE 1395 4150 1395 grids1x1 minimum 71000 710000 300000 adults estimate
BG N/A N/A 219 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 10715 grids1x1 estimate N/A N/A N/A N/A
DE 203137 203137 203137 grids1x1 estimate 5860 6070 5965 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 250 localities N/A
FR 1570 157000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 169 grids1x1 minimum N/A N/A N/A N/A
IT 192 781 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 2291 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 1271 grids1x1 minimum N/A N/A N/A N/A
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 19617 grids1x1 estimate 9000000 13000000 11000000 i estimate
SI N/A N/A 645 grids1x1 minimum N/A N/A N/A N/A
ES 162 16200 N/A grids1x1 estimate 100000 500000 109793 i estimate
FR 100000 10000000 N/A grids1x1 estimate N/A N/A N/A estimate
GR 386 459 N/A grids1x1 estimate N/A N/A N/A N/A
IT 86 297 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 137 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 566 grids1x1 estimate N/A N/A N/A N/A
SK 20 20 N/A grids1x1 estimate 100 500 N/A i 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 56700 13.67 = N/A N/A 5321 grids1x1 minimum c 5.13 = > Y FV = good good good FV FV = FV method knowledge 49600 b 16.21
BG ALP 16900 4.08 = 16900 N/A N/A 259 grids1x1 minimum c 0.25 = 259 grids1x1 Y FV = poor poor poor U1 U1 = U1 x noChange method 5100 b 1.67
DE ALP 4155 1 = 4155 3498 3498 3498 grids1x1 estimate b 3.38 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 4000 b 1.31
ES ALP 16100 3.88 = 129 12900 N/A grids1x1 estimate a 6.29 = 270681 i Y XX x unk poor poor XX U1 = N/A N/A knowledge N/A 9100 a 2.97
FI ALP 17100 4.12 = N/A N/A 80 grids1x1 minimum b 0.08 u Y FV = good good good FV FV = FV noChange method 6000 b 1.96
FR ALP 39000 9.40 = 369 36000 N/A grids1x1 estimate d 17.55 = < Unk Unk XX = unk unk unk XX XX = N/A N/A noChange noChange 28900 b 9.44
HR ALP 1000 0.24 x x N/A N/A 5 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 300 c 0.10
IT ALP 59500 14.35 = 2041 11961 N/A grids1x1 estimate b 6.75 = Y FV = good good good FV FV = FV noChange noChange 49300 b 16.11
PL ALP 14900 3.59 = N/A N/A 88 grids1x1 minimum c 0.08 - > Y U1 - good poor poor U1 U1 - FV knowledge knowledge 8200 b 2.68
RO ALP 55500 13.38 = 2 50 10 grids1x1 minimum b 0.01 = 10 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 26800 b 8.76
SE ALP 103800 25.03 = 103800 N/A N/A 61165 grids1x1 estimate c 59.02 = 55000000 i Y FV = good good unk FV FV = FV noChange noChange 94500 c 30.88
SI ALP 7656 1.85 = 7656 N/A N/A 386 grids1x1 minimum b 0.37 x x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 6500 b 2.12
SK ALP 22396.29 5.40 = 1130 1130 N/A grids1x1 estimate b 1.09 = Y U1 = good poor poor U1 U1 = FV knowledge knowledge 17700 b 5.78
BE ATL 23200 3.43 = N/A N/A 3252 grids1x1 estimate a 4.28 = Y FV = good good good FV FV = FV noChange noChange 19500 a 3.64
DE ATL 67470 9.96 = 29648 29648 29648 grids1x1 estimate c 38.98 - > grids5x5 Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 35300 b 6.58
DK ATL 13024 1.92 = N/A N/A N/A estimate b 0 - > Y FV = good unk good FV U1 - FV N/A N/A 5500 b 1.03
ES ATL 60700 8.96 = 435 43500 N/A grids1x1 estimate b 28.88 = 980839 i Y XX x poor poor poor XX U1 = XX N/A N/A 44100 a 8.22
FR ATL 143300 21.16 - N/A N/A N/A minimum c 0 - < Y U1 - bad bad bad U2 U2 - U2 - N/A N/A 110400 b 20.58
IE ATL 84400 12.46 = 84400 N/A N/A 1845 grids1x1 minimum b 2.43 = 104000000 adults Y FV = good good good FV FV = FV noChange noChange 60300 b 11.24
NL ATL 43700 6.45 = N/A N/A 8683 grids1x1 estimate b 11.42 = Y FV = good good good FV FV = FV noChange method 40100 a 7.48
UK ATL 241303.74 35.64 = 239661 N/A N/A 10666 grids1x1 minimum c 14.02 = 2149 grids10x10 Unk Unk XX x good good unk FV FV = FV noChange noChange 221200 b 41.24
EE BOR 45300 5.10 = 618 1000 N/A grids1x1 minimum b 0.23 - > N N U1 - good poor poor U1 U1 - FV genuine method 25200 b 3.88
FI BOR 343800 38.70 = N/A N/A 2191 grids1x1 minimum b 0.61 u Y FV = good good good FV FV = FV noChange method 183500 b 28.25
LT BOR 64700 7.28 = 7500 8000 N/A grids1x1 minimum c 2.16 = Y FV = good good good FV FV = U1 = noChange noChange 67800 c 10.44
LV BOR 64000 7.20 x x N/A N/A 207 grids1x1 minimum a 0.06 x x Y FV x good unk unk XX FV x FV noChange noChange 19300 a 2.97
SE BOR 370500 41.71 = 370500 N/A N/A 347915 grids1x1 estimate c 96.95 u 250000000 i Y FV = good good unk FV FV = FV noChange noChange 353700 c 54.46
AT CON 28000 2.60 x 1623 1623 N/A grids1x1 minimum c 0.51 x > Unk Unk U1 x good poor poor U1 U1 x U1 x noChange noChange 23100 b 3.23
BE CON 15100 1.40 = 1395 4150 1395 grids1x1 minimum b 0.43 = Y FV = good good good FV FV = FV noChange noChange 11700 a 1.63
BG CON 17500 1.63 = 17500 N/A N/A 219 grids1x1 minimum c 0.07 = 219 grids1x1 Y FV = poor poor poor U1 U1 = U1 x noChange method 2700 b 0.38
CZ CON 89600 8.33 = N/A N/A 10715 grids1x1 estimate a 3.34 - > Y U1 - good poor poor U1 U1 - U1 - genuine genuine 77700 a 10.85
DE CON 283452 26.34 = 283452 203137 203137 203137 grids1x1 estimate b 63.31 = grids5x5 Y FV = good good good FV FV = FV noChange method 235400 b 32.87
DK CON 22398 2.08 = N/A N/A N/A estimate b 0 - > Y FV = good unk good FV U1 - FV N/A N/A 10700 b 1.49
FR CON 173100 16.08 u 1570 157000 N/A grids1x1 estimate d 24.71 u < Unk Unk XX u poor poor unk U1 U1 x U1 = noChange noChange 147500 b 20.59
HR CON 18600 1.73 x x N/A N/A 169 grids1x1 minimum c 0.05 x x Unk XX x unk unk unk XX XX N/A N/A 4800 c 0.67
IT CON 25300 2.35 = 192 781 N/A grids1x1 estimate b 0.15 = Y FV = good good good FV FV = FV noChange noChange 11100 b 1.55
LU CON 3900 0.36 = 3900 N/A N/A 2291 grids1x1 estimate b 0.71 u 2365 grids1x1 Y FV u good good poor U1 U1 x FV method method 2400 c 0.34
PL CON 295900 27.50 = N/A N/A 1271 grids1x1 minimum c 0.40 - > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 127200 b 17.76
RO CON 67800 6.30 = 2 100 10 grids1x1 minimum b 0 = 10 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 30600 b 4.27
SE CON 23300 2.17 = 23300 N/A N/A 19617 grids1x1 estimate c 6.11 u 11000000 i Y FV = good good unk FV FV = FV noChange noChange 20300 c 2.83
SI CON 12237 1.14 = N/A N/A 645 grids1x1 minimum b 0.20 x x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 11000 b 1.54
ES MED 31700 52.18 = 162 16200 N/A grids1x1 estimate b 0.16 = 109793 i Y XX x poor poor poor XX U1 = U1 x knowledge N/A 10500 a 36.21
FR MED 20300 33.42 = 100000 10000000 N/A grids1x1 estimate b 99.83 x < Y Unk FV = good good good FV FV = FV noChange noChange 13500 b 46.55
GR MED 1047.40 1.72 = 386 459 N/A grids1x1 estimate c 0.01 x Y FV = good unk good FV FV x FV noChange noChange 1300 b 4.48
IT MED 7700 12.68 = 86 297 N/A grids1x1 estimate b 0 = Y FV = good good good FV FV = FV noChange noChange 3700 b 12.76
CZ PAN 4900 33.78 = N/A N/A 137 grids1x1 estimate a 18.95 - > Y U1 - good poor poor U1 U1 - U1 - genuine genuine 2300 a 17.83
HU PAN 8265 56.97 = N/A N/A 566 grids1x1 estimate b 78.28 u Y U1 = good unk poor U1 U1 = U1 = noChange noChange 9300 b 72.09
SK PAN 1342.48 9.25 x 20 20 N/A grids1x1 estimate b 2.77 = Y U1 = unk poor poor U1 U1 = U1 = N/A N/A 1300 b 10.08
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 = 2XP = 2XP = good good poor 2XP MTX = U1 x nc nc D

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XR = > 2XR = > 2XR = unk unk unk 2XR MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 2XP = 2XP x 2XP = good good unk 2XP MTX = FV x nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP = 2XP = > 2XP = good poor poor 2XP MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XP = 2XP x 2XP = good good good 2XP MTX = U1 x nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2XP = 2XP x > 2XP = good unk poor 2XP MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
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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.