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Habitat 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 habitat type belonging to that group.
Optionally, further refine your query by selecting one of the available biogeographical regions for that habitat type.
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 habitat.

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, Grasslands, 6240 Sub-Pannonic steppic grasslands, All bioregions. Show all Grasslands
Member States reports
MS Region Range (km2) Area (km2) Structure and functions (km2) Future prospects Overall assessment Distribution area(km2)
Surface Status
(% MS)
Trend FRR Min Max Best value Type est. Method Status
(% MS)
Trend FRA
Area in good condition (km2)
Good
(adjusted mean value)
Not good
(adjusted mean value)
Not Known
(adjusted mean value)
0.01 N/A 0.09
N/A N/A 0.92
10.59 1.65 0
0.76 0.14 3.77
0.10 0.03 N/A
N/A N/A 0.13
2.10 0.03 N/A
N/A N/A 145.91
0.53 0 0.01
10.36 5.95 5.47
N/A N/A 4.25
3200 250 200
1.85 0.17 0.03
70 107.50 12.50
0.44 0.23 2.34
Good
Not good Not known Status Trend Range
prosp.
Area
prosp.
S & f
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 900 4.61 x x 0.50 1 N/A minimum b 2.30 x > 0.01 - 0.01 N/A - N/A 0.09 - 0.09 XX x unk poor unk XX U1 x U1 = noChange noInfo 700 a 5.56
BG ALP 3200 16.40 x 3200 N/A N/A 0.92 minimum b 2.83 = 0.92 N/A - N/A N/A - N/A 0.92 - 0.92 XX x poor poor poor U1 U1 x U1 = method method 700 b 5.56
IT ALP 8900 45.60 - >> 25.54 26.97 N/A estimate b 80.55 = >> 10.59 - 10.59 1.65 - 1.65 0 - 0 U1 = poor poor poor U1 U2 = U2 - noChange knowledge 4500 b 35.71
SK ALP 6515.50 33.39 = N/A N/A 4.67 estimate b 14.32 - > 0.76 - 0.76 0.14 - 0.14 3.77 - 3.77 FV u good good good FV U1 x U1 - N/A N/A 6700 b 53.17
DE ATL 1561 100 = 1561 0.13 0.13 0.13 estimate a 100 = > 0.10 - 0.11 0.02 - 0.03 N/A - N/A U1 - good poor unk U1 U1 - U1 + noChange genuine 1200 b 100
BG BLS 1800 100 x 1800 N/A N/A 0.13 minimum b 100 u 0.13 N/A - N/A N/A - N/A 0.13 - 0.13 XX x poor poor poor U1 U1 x U1 = method method 200 b 100
AT CON 8900 10.87 = > 1.50 2.70 2.10 interval a 0.05 - > 1.50 - 2.70 0.02 - 0.03 N/A - N/A FV x poor poor poor U1 U1 x U1 x noChange genuine 5800 a 11.65
BG CON 34800 42.52 u 34800 N/A N/A 145.91 minimum b 3.42 - 145.91 N/A - N/A N/A - N/A 145.91 - 145.91 XX x poor poor poor U1 U1 x U1 = noChange method 17600 b 35.34
CZ CON 3600 4.40 = N/A N/A 0.55 estimate a 0.01 = 0.53 - 0.53 0 - 0 0.01 - 0.01 U2 - poor poor poor U1 U2 - U2 - genuine genuine 1300 a 2.61
DE CON 23051 28.16 - >> 12.65 30.51 13.06 estimate b 0.31 - >> 6.28 - 14.44 4.21 - 7.69 2.08 - 8.86 U2 - bad bad bad U2 U2 - U1 - genuine noChange 17900 b 35.94
HR CON 3100 3.79 u > 3.50 5 N/A estimate a 0.10 u > N/A - N/A N/A - N/A 3.50 - 5 XX u poor bad unk U2 U2 x N/A N/A noChange noChange 3100 a 6.22
RO CON 8400 10.26 = N/A N/A 4100 interval b 96.11 + 3000 - 3400 100 - 400 100 - 300 FV u good good poor U1 U1 - U1 N/A knowledge knowledge 4100 a 8.23
CZ PAN 4200 13.32 = N/A N/A 2.06 estimate a 1.06 = 1.85 - 1.85 0.17 - 0.17 0.03 - 0.03 U1 - good good poor U1 U1 - U1 - genuine noChange 2000 a 6.62
HU PAN 24397 77.35 = 170 210 N/A estimate b 97.40 = > 60 - 80 100 - 115 10 - 15 U2 = good poor bad U2 U2 = U1 = knowledge noChange 25400 b 84.11
SK PAN 2946.07 9.34 x > N/A N/A 3.01 estimate b 1.54 - > 0.44 - 0.44 0.23 - 0.23 2.34 - 2.34 FV u unk poor poor U1 U1 x U1 - N/A N/A 2800 b 9.27
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 Region Surface Status
Range
Trend FRR Min Max Best value Status
Area
Trend FRA Good Not good Not known Status Str.
& funct.
Trend Range
prosp.
Area
prosp.
S & f
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 2XA 2XA - | - | - - | - | - - | - | - 2XA 2XA MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 1561 0MS = 1561 0.13 0MS = < 0.14 - | - | 0.11 - | - | 0.03 - | - | 0 0MS - 0MS MTX - U1 + nc gen U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BLS 1800 0MS x 1800 0.13 0MS x 0.13 - | - | - - | - | - - | - | 0.13 0MS x 0MS MTX x U1 = nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 CON 81851 2GD 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX x U1 - gen nong U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 PAN 2XA 2XA - | - | - - | - | - - | - | - 2XA 2XA MTX = U1 = nong nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
RO CON 100 | 400 | - 3000 | 3400 | - 100 | 300 | - poor poor poor 2XR 3XR - U1 - U1 0/1

03/20

Fundatia ADEPT Transilvania

Institution: Fundatia ADEPT Transilvania

Member State: RO

Fundatia ADEPT Transilvania
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.