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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.

Warning: The map does not show the distribution for sensitive species in PL

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

Sensitive spatial information for this species is not shown in the map.

Current selection: 2013-2018, Arthropods, Coenagrion ornatum, All bioregions. Annexes Y, N, 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
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 3 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 1100 grids1x1 estimate N/A N/A N/A N/A
SI 23 24 N/A grids1x1 estimate N/A N/A N/A N/A
SK 9 9 N/A grids1x1 estimate 125 15993 N/A i N/A
DE 15 15 15 grids1x1 estimate 15 15 15 localities estimate
BG N/A N/A 34 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 300 grids1x1 estimate N/A N/A N/A N/A
AT N/A N/A 56 grids1x1 minimum 2500 8000 N/A i minimum
BG N/A N/A 187 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 74 grids1x1 estimate N/A N/A N/A N/A
DE 249 249 249 grids1x1 estimate 87 87 87 localities estimate
FR 58 5800 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 26 grids1x1 estimate N/A N/A N/A N/A
PL 5 10 N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 2600 grids1x1 estimate N/A N/A N/A N/A
SI 58 59 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 2250 grids1x1 estimate 23 31 N/A grids10x10 estimate
HR N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 27 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 244 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 1200 grids1x1 estimate N/A N/A N/A N/A
SK 9 9 N/A grids1x1 estimate N/A 8699 N/A i N/A
RO N/A N/A 1300 grids1x1 estimate N/A N/A N/A N/A
AT N/A N/A 1 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
BG ALP 6200 62.87 = 6200 N/A N/A 3 grids1x1 minimum b 0.26 u 3 grids1x1 Y FV = good unk good FV FV = FV noChange noChange 600 b 20
HR ALP 800 8.11 x x N/A N/A 3 grids1x1 estimate c 0.26 x x Unk XX x unk unk unk XX XX N/A noInfo noInfo 200 c 6.67
RO ALP 1100 11.15 - > N/A N/A 1100 grids1x1 estimate b 96.62 - N Unk U2 - unk poor poor U1 U2 - N/A N/A knowledge knowledge 600 a 20
SI ALP 1253 12.71 - > 23 24 N/A grids1x1 estimate b 2.06 - > N N U1 - poor poor poor U1 U1 - U1 - noChange noChange 1100 b 36.67
SK ALP 508.55 5.16 = > 9 9 N/A grids1x1 estimate b 0.79 = > Y U1 = good good good FV U1 = U1 = N/A N/A 500 b 16.67
DE ATL 932 100 = > 15 15 15 grids1x1 estimate b 100 = >> localities N N U1 = poor unk poor U1 U2 = U2 x noChange knowledge 800 a 100
BG BLS 5000 94.34 = 5000 N/A N/A 34 grids1x1 minimum b 10.18 = 34 grids1x1 Y FV = good good good FV FV = FV noChange method 1200 b 92.31
RO BLS 300 5.66 x > N/A N/A 300 grids1x1 estimate b 89.82 x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 100 a 7.69
AT CON 4900 6.50 x > N/A N/A 56 grids1x1 minimum b 0.91 x > Y U1 = poor poor poor U1 U1 x U1 x noChange noChange 2300 b 5.90
BG CON 36500 48.41 = 36500 N/A N/A 187 grids1x1 minimum b 3.02 = 187 grids1x1 Y FV = good good good FV FV = FV noChange noChange 11300 b 28.97
CZ CON 9000 11.94 + N/A N/A 74 grids1x1 estimate a 1.20 + Y FV = unk unk poor XX FV + FV noChange noChange 3600 a 9.23
DE CON 8075 10.71 = > 249 249 249 grids1x1 estimate b 4.02 - > localities N Unk U1 - poor poor poor U1 U1 - U1 - noChange noChange 6000 a 15.38
FR CON 5600 7.43 = 58 5800 N/A grids1x1 minimum d 47.34 u x Unk Unk XX = poor poor poor U1 U1 = U1 = N/A noChange 9300 b 23.85
HR CON 4600 6.10 x x N/A N/A 26 grids1x1 estimate c 0.42 x x Unk XX x unk unk unk XX XX N/A noChange noChange 1300 c 3.33
PL CON 300 0.40 - > 5 10 N/A grids1x1 estimate b 0.12 - >> N Unk U1 - bad bad poor U2 U2 - U2 x noChange genuine 300 b 0.77
RO CON 2600 3.45 = > N/A N/A 2600 grids1x1 estimate b 42.02 = Y U1 = good poor poor U1 U1 = U1 N/A knowledge knowledge 2300 a 5.90
SI CON 3819 5.07 - > 58 59 N/A grids1x1 estimate b 0.95 - > N N U1 - poor poor poor U1 U1 - U1 - noChange noChange 2600 b 6.67
GR MED 3040 85.88 = N/A N/A 2250 grids1x1 estimate b 99.96 - 31 grids10x10 Unk XX x good poor unk U1 U1 - U1 - noChange noChange 2300 b 95.83
HR MED 500 14.12 x x N/A N/A 1 grids1x1 estimate c 0.04 x x Unk XX x unk unk unk XX XX N/A noChange noChange 100 c 4.17
CZ PAN 2500 13.78 + N/A N/A 27 grids1x1 estimate a 1.82 + Y FV = unk unk poor XX FV + FV noChange noChange 1000 a 6.06
HU PAN 13957 76.94 = N/A N/A 244 grids1x1 minimum b 16.49 - > N Y U1 u poor poor poor U1 U1 x U1 = noChange genuine 14000 b 84.85
RO PAN 1200 6.62 = > N/A N/A 1200 grids1x1 estimate b 81.08 = Y U1 = good poor poor U1 U1 = U1 N/A knowledge knowledge 900 a 5.45
SK PAN 482.74 2.66 u > 9 9 N/A grids1x1 estimate b 0.61 = Y FV = unk good good FV U2 = U2 = N/A N/A 600 b 3.64
RO STE 1300 100 = > N/A N/A 1300 grids1x1 estimate b 100 = Y U1 = good poor poor U1 U1 = U1 N/A knowledge knowledge 900 a 100
AT ALP 100 0 - >> N/A N/A 1 grids1x1 estimate a 0 - >> N N U2 - N/A N/A N/A U2 U2 - U2 x noChange genuine 100 b 0
FR ATL 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 700 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 9900 2GD - > 2GD x x 2GD x unk unk poor 2GD MTX - FV nong nong FV C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 932 0MS = > 15 grids1x1 0MS = >> 0MS = poor unk poor 0MS MTX = U2 x nc nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 5300 2GD = 334 grids1x1 2GD x 2GD x good good good 2GD MTX = FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 75394 2GD x > 6187 grids1x1 2GD x x 2GD x 2GD MTX - FV nong nong FV C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 3540 2GD = 2251 grids1x1 2GD - 2GD good poor unk 2GD MTX - U1 - nc nc XX C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 18139 2GD 1480 grids1x1 2GD = x 2GD = poor poor poor 2GD MTX x U1 = nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 1300 0MS = 1300 grids1x1 0MS = > 0MS = good poor poor 0MS MTX = U1 x nc nong U1 D

01/20

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.