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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, 6220 Pseudo-steppe with grasses and annuals of the Thero-Brachypodietea, 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)
N/A N/A 26.18
N/A N/A 0.25
13.79 0.12 N/A
0.90 1.52 19.96
3.50 3.50 3.50
N/A N/A 106.31
N/A N/A 302.94
N/A N/A 12
28.23 1.70 0.84
7.78 3.65 N/A
7084.30 3176.84 12984.90
N/A N/A 261.50
935.66 N/A 103.96
42.50 22.50 582.50
1229.07 187.93 57.31
4.67 4.90 N/A
N/A N/A N/A
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
BG ALP 4400 35.48 x 4400 N/A N/A 26.18 minimum b 63.94 - 26.18 N/A - N/A N/A - N/A 26.18 - 26.18 XX x poor poor poor U1 U1 x U1 = method method 2200 b 50
ES ALP 2400 19.35 = N/A N/A 0.25 estimate a 0.60 x N/A - N/A N/A - N/A 0.25 - 0.25 XX x good good good FV XX U1 x method method 100 b 2.27
IT ALP 5600 45.16 = 13.91 15.13 N/A estimate b 35.46 = > 13.79 - 13.79 0.12 - 0.12 N/A - N/A U1 = poor poor poor U1 U1 = XX N/A knowledge knowledge 2100 b 47.73
ES ATL 46500 86.92 = N/A N/A 22.38 estimate b 78.86 = x 0.90 - 0.90 1.52 - 1.52 19.96 - 19.96 XX = good poor unk U1 U1 = U1 x noChange knowledge 27400 b 90.43
FR ATL 7000 13.08 - > 2 10 N/A estimate c 21.14 - >> 2 - 5 2 - 5 2 - 5 U2 x poor poor unk U1 U2 - U2 - noChange noChange 2900 a 9.57
BG BLS 6400 100 x 6400 N/A N/A 106.31 minimum b 100 - 106.31 N/A - N/A N/A - N/A 106.31 - 106.31 XX x poor poor poor U1 U1 x U1 = method method 4700 b 100
BG CON 27400 44.76 + 27400 N/A N/A 302.94 minimum b 61 = 302.94 N/A - N/A N/A - N/A 302.94 - 302.94 XX x poor poor poor U1 U1 x U1 = method method 16700 b 46.26
FR CON 12 0.02 - > N/A N/A 12 estimate d 2.42 - >> N/A - N/A N/A - N/A 12 - 12 XX x poor poor unk U1 U2 - U2 x noChange noChange 600 a 1.66
IT CON 33800 55.22 = 37.83 325.50 N/A estimate b 36.58 - >> 28.23 - 28.23 1.70 - 1.70 0.84 - 0.84 U1 - poor bad bad U2 U2 - U1 - knowledge noChange 18800 b 52.08
CY MED 2943 0.41 = 7.17 22.03 N/A estimate a 0.05 = 3.82 - 11.73 1.79 - 5.51 N/A - N/A U1 = good good poor U1 U1 = FV N/A knowledge knowledge 1500 a 0.26
ES MED 412800 56.87 + N/A N/A 23246.05 estimate b 83 + x 7084.30 - 7084.30 3176.84 - 3176.84 12984.90 - 12984.90 U1 = unk poor unk XX U1 + U1 x noChange method 317500 b 55.63
FR MED 54400 7.49 = x 237 286 N/A estimate c 0.93 - x N/A - N/A N/A - N/A 237 - 286 U1 u good poor poor U2 U2 - U2 - noChange noChange 38900 a 6.82
GR MED 3963 0.55 = N/A N/A 1039.62 estimate b 3.71 = 935.66 - 935.66 N/A - N/A 103.96 - 103.96 FV = good good good FV FV = FV N/A noChange noChange 33000 b 5.78
HR MED 20000 2.76 = 530 766 N/A estimate a 2.31 = 35 - 50 20 - 25 475 - 690 XX u good good unk FV FV = N/A N/A noChange noChange 20000 a 3.50
IT MED 185300 25.53 = 1227.25 4346.36 N/A estimate b 9.95 - >> 1229.07 - 1229.07 187.93 - 187.93 57.31 - 57.31 U1 - poor bad bad U2 U2 - FV N/A knowledge knowledge 135800 b 23.80
MT MED 205 0.03 = N/A N/A 9.56 estimate b 0.03 = 4.67 - 4.67 4.90 - 4.90 N/A - N/A U2 = good good bad U2 U2 = FV N/A knowledge noChange 1000 b 0.18
PT MED 46300 6.38 = N/A N/A N/A d 0 = < N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = FV N/A knowledge knowledge 23000 c 4.03
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 12400 1 x ≈ 12400 40.34 41.56 40.95 0EQ - < 42.40 - | - | 13.79 - | - | 0.12 - | - | 26.43 1 = 2XA MTX x XX x nong nc XX D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 53500 1 = < 54200 24.38 32.38 2XA 2.9 | 5.9 | - 3.52 | 6.52 | - 21.96 | 24.96 | - 1 x 0EQ MTX = U2 x nong nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BLS 6400 0MS x 6400 106.31 0MS - 106.31 - | - | - - | - | - - | - | 106.31 0MS x 0MS MTX x U1 = nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 CON 2XA 352.76 640.44 2XA - | - | - - | - | - - | - | - 2XA - 2XA MTX - U1 - nong nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 MED 725911 0EQ + ≈ 725911 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX + U1 x nong nong U1 B2

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

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.