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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, Arthropods, Ophiogomphus cecilia, All bioregions. Annexes Y, Y, N. Show all Arthropods
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 12 12 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 19 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 1500 grids1x1 estimate N/A N/A N/A N/A
SI 11 14 N/A grids1x1 estimate N/A N/A N/A N/A
SK 48 48 N/A grids1x1 estimate 81490 488426 N/A i N/A
DE 385 385 385 grids1x1 estimate 112 112 112 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 25 localities N/A
FR 56 5600 N/A grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 39 grids1x1 estimate 2000 5000 N/A i estimate
BG N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 348 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 284 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 304 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 77 grids1x1 minimum N/A N/A N/A N/A
SE 54 200 127 grids1x1 estimate N/A N/A N/A N/A
AT 140 140 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 70 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 494 grids1x1 estimate N/A N/A N/A N/A
DE 2742 2742 2742 grids1x1 estimate 736 781 758.50 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 21 localities N/A
FR 59 5900 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 6 grids1x1 estimate N/A N/A N/A N/A
IT 90 360 N/A grids1x1 estimate N/A N/A N/A N/A
PL 10000 12000 N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 4100 grids1x1 estimate N/A N/A N/A N/A
SI 138 141 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 843 grids1x1 estimate 9 16 N/A grids10x10 estimate
CZ N/A N/A 46 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 340 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 600 grids1x1 estimate N/A N/A N/A N/A
SK 53 53 N/A grids1x1 estimate 57 29598 N/A i N/A
RO N/A N/A 600 grids1x1 estimate N/A N/A N/A N/A
PL 5 10 N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
FR 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
AT ALP 1000 10.34 = > 12 12 N/A grids1x1 estimate b 0.75 = > Y FV = poor poor good U1 U1 = U1 = noChange noChange 900 b 18.37
BG ALP 5200 53.77 = 5200 N/A N/A 19 grids1x1 minimum c 1.19 u 19 grids1x1 Y FV = unk unk unk XX XX = FV method method 1300 c 26.53
RO ALP 1500 15.51 - > N/A N/A 1500 grids1x1 estimate b 94.25 - Y U1 - good poor poor U1 U1 - U1 N/A knowledge knowledge 1000 a 20.41
SI ALP 1126 11.64 x > 11 14 N/A grids1x1 estimate c 0.79 x > N Unk U1 x unk unk unk XX U1 x U1 x noChange noChange 800 c 16.33
SK ALP 844.01 8.73 = > 48 48 N/A grids1x1 estimate b 3.02 u Y FV = good good good FV U1 = U1 = N/A N/A 900 b 18.37
DE ATL 18757 47.08 + > 385 385 385 grids1x1 estimate c 11.84 u > grids5x5 N Y U1 + poor poor poor U1 U1 = U1 + noChange method 7800 b 45.09
DK ATL 4587 11.51 = > N/A N/A N/A estimate b 0 N > Y FV = good poor good U1 U1 N/A FV N/A N/A 1600 b 9.25
FR ATL 15700 39.40 = 56 5600 N/A grids1x1 minimum b 86.96 = Y FV = good unk unk XX FV = FV noChange noChange 7300 b 42.20
NL ATL 800 2.01 + N/A N/A 39 grids1x1 estimate a 1.20 u > N N U1 = good poor poor U1 U1 = U2 + genuine noInfo 600 a 3.47
BG BLS 1100 100 u 1100 N/A N/A 8 grids1x1 minimum c 100 = 8 grids1x1 Unk XX x unk unk unk XX XX x FV method method 800 c 100
EE BOR 14700 9.39 + N/A N/A 348 grids1x1 minimum b 30.53 = Y FV = good unk good FV FV + FV noChange noChange 8300 a 19.67
FI BOR 49500 31.62 = N/A N/A 284 grids1x1 minimum b 24.91 = Y FV = good good good FV FV = FV noChange method 17200 b 40.76
LT BOR 40500 25.87 = N/A N/A 304 grids1x1 estimate b 26.67 = Y FV = good good good FV FV = U1 N/A knowledge knowledge 13900 b 32.94
LV BOR 37659 24.05 u x N/A N/A 77 grids1x1 minimum b 6.75 x 77 grids1x1 N Unk U1 x unk unk poor XX U1 x U1 x noChange noChange N/A b 0
SE BOR 14200 9.07 = 14200 54 200 127 grids1x1 estimate b 11.14 = 127 grids1x1 Y FV = good good good FV FV = FV noChange N/A 2800 b 6.64
AT CON 8900 2.59 = 140 140 N/A grids1x1 estimate b 0.64 = Y FV = good good good FV FV = FV noChange noChange 5100 b 3.54
BG CON 11700 3.40 u 11700 N/A N/A 70 grids1x1 minimum c 0.32 = 70 grids1x1 Unk XX x poor poor poor U1 U1 x FV method method 5400 c 3.75
CZ CON 49500 14.38 = N/A N/A 494 grids1x1 estimate a 2.26 = Y FV = good good good FV FV = U1 = knowledge noChange 19000 a 13.20
DE CON 117603 34.17 = 2742 2742 2742 grids1x1 estimate b 12.52 + grids5x5 Y FV + good good good FV FV + FV noChange method 47600 b 33.08
DK CON 3098 0.90 + > N/A N/A N/A estimate b 0 - > Y FV = good poor good U1 U1 - FV N/A N/A 1100 b 0.76
FR CON 10900 3.17 = 59 5900 N/A grids1x1 minimum b 13.61 = Y FV = good unk unk XX FV = FV noChange noChange 5400 b 3.75
HR CON 3000 0.87 x x N/A N/A 6 grids1x1 estimate c 0.03 x 6 grids1x1 Unk XX x unk unk unk XX XX N/A noChange noChange 500 c 0.35
IT CON 15200 4.42 = 90 360 N/A grids1x1 estimate b 1.03 + Y FV = good good good FV FV + FV noChange knowledge 8800 b 6.12
PL CON 115400 33.53 = x 10000 12000 N/A grids1x1 estimate b 50.24 = x Y FV = good good good FV FV = FV noChange noChange 44300 b 30.79
RO CON 4100 1.19 = > N/A N/A 4100 grids1x1 estimate b 18.72 = Y FV = good good good FV FV = U1 N/A knowledge knowledge 3100 a 2.15
SI CON 4766 1.38 x > 138 141 N/A grids1x1 estimate b 0.64 = > N Unk U1 - poor unk poor U1 U1 x U1 = noChange noInfo 3600 c 2.50
GR MED 1163 100 = N/A N/A 843 grids1x1 estimate b 100 - 16 grids10x10 Unk XX x good poor unk U1 U1 - U1 - noChange noChange 900 b 100
CZ PAN 5500 23.88 = N/A N/A 46 grids1x1 estimate a 4.43 = Y FV = good good good FV FV = U1 = N/A N/A 2000 a 9.95
HU PAN 15644 67.92 = N/A N/A 340 grids1x1 minimum b 32.72 = Y FV = good good unk FV FV = FV noChange method 16300 b 81.09
RO PAN 600 2.60 = > N/A N/A 600 grids1x1 estimate b 57.75 = Y FV = good good good FV FV = U1 N/A knowledge knowledge 500 a 2.49
SK PAN 1289.57 5.60 = 53 53 N/A grids1x1 estimate b 5.10 = Y U1 = unk poor poor U1 U1 = U1 - N/A knowledge 1300 b 6.47
RO STE 600 100 = 600 N/A N/A 600 grids1x1 estimate b 100 = > Y U1 = good poor poor U1 U1 = U1 N/A knowledge knowledge 500 a 100
PL ALP 1300 0 x x 5 10 N/A grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 400 b 0
BE ATL 300 0 + >> N/A N/A 2 grids1x1 estimate a 0 x >> N N U2 u unk unk unk XX U2 x N/A N/A genuine genuine 300 a 0
FR MED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ Unk Unk N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange 100 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 ALP 9670.01 1 - < 105851.76 1590 1593 1591.5 grids1x1 2GD - < 1593.95 grids1x1 2GD - 2GD MTX - XX x nong nong XX C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 39844 1 + < 42178.4 2GD 2GD + 2GD MTX = U1 + nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 1100 0MS - ≈ 1100 8 8 8 grids1x1 0MS = ≈ 8 grids1x1 0MS x poor poor poor 0MS MTX x FV = nong nong FV C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 156559 1 = ≈ 156559 1067 1213 1140 grids1x1 1 = ≈ 1140 grids1x1 2XP = 2XP MTX + U1 x nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 344167 1 = < 345363.4 2GD + 2GD + 2GD MTX + FV = nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 1163 0MS = ≈ 1163 843 843 843 grids1x1 0MS - ≈ 16 grids10x10 0MS x good poor unk 0MS MTX - U1 - nc nc XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 23033.75 0EQ = < 23093.57 1039 1039 1039 1 = ≈ 1039 grids1x1 2XP = 2XP MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 600 0MS = ≈ 600 600 600 600 grids1x1 0MS = > 600 grids1x1 0MS = good poor poor 0MS MTX = U1 = nc nc U1 D

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.