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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, 6120 Xeric sand calcareous 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)
N/A N/A N/A
0 0.14 0.22
0.07 0.02 N/A
1.50 1.60 4.40
0.95 1.55 N/A
275 N/A 25
0.80 0.80 N/A
N/A 2.96 2.87
0 0.01 N/A
0.01 0.27 N/A
4.06 3.37 0.87
0.17 1.07 N/A
1.75 1.10 1.05
13.80 51.30 N/A
900 50 100
0.48 0.28 N/A
N/A N/A 27.20
0.17 0.20 N/A
25 N/A 25
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
FR ALP N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A b 0
BE ATL 1600 5.26 = 0.34 0.37 0.37 estimate b 3.54 - >> 0 - 0 0.12 - 0.15 0.21 - 0.22 U2 - poor bad bad U2 U2 - U2 + noChange knowledge 1200 a 7.45
DE ATL 1197 3.94 + 0.09 0.10 0.10 estimate b 0.92 = 0.14 0.07 - 0.07 0.02 - 0.02 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 700 b 4.35
FR ATL 23900 78.63 + > 5 10 7.50 estimate c 71.66 u > 1.50 - 1.50 1.60 - 1.60 4.40 - 4.40 U1 x poor poor bad U2 U2 x U2 = noChange noChange 10800 b 67.08
NL ATL 3700 12.17 = >> N/A N/A 2.50 estimate a 23.89 = >> 0.40 - 1.50 1 - 2.10 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 3400 a 21.12
RO BLS 400 100 = N/A N/A 400 interval b 100 = 200 - 350 N/A - N/A N/A - 50 FV = good good good FV FV = N/A N/A knowledge knowledge 100 a 100
LT BOR 64787 66.30 = 64787 N/A N/A 1.60 estimate a 19.07 u >> 0.80 - 0.80 0.80 - 0.80 N/A - N/A U2 u good bad poor U2 U2 x U2 - knowledge knowledge 9400 a 96.91
LV BOR 32524 33.29 = x 5.82 7.74 N/A estimate b 80.82 u x N/A - N/A 2.91 - 3 2.82 - 2.91 U2 - good bad bad U2 U2 x U2 - knowledge knowledge N/A a 0
SE BOR 400 0.41 = N/A N/A 0.01 estimate a 0.11 - >> 0 - 0 0.01 - 0.01 N/A - N/A U2 = good bad bad U2 U2 - U2 + noChange knowledge 300 a 3.09
BE CON 1300 0.36 + 0.25 0.30 0.28 estimate a 0.02 + >> N/A - 0.02 0.26 - 0.28 N/A - N/A U2 + good bad poor U2 U2 + U2 + noChange noChange 800 a 0.24
DE CON 42003 11.54 - > 8.12 9.41 8.37 estimate a 0.61 - >> 3.76 - 4.36 3.07 - 3.66 0.27 - 1.47 U2 - poor bad bad U2 U2 - U1 = genuine method 28500 b 8.55
DK CON 7553 2.08 = N/A N/A 1.24 estimate b 0.09 - >> 0.07 - 0.27 0.97 - 1.17 N/A - N/A U2 = good bad bad U2 U2 = U2 x N/A N/A 3600 b 1.08
FR CON 5875 1.61 - >> 2 2 2 estimate c 0.15 - >> 1.50 - 2 0.20 - 2 0.10 - 2 U2 x bad bad bad U2 U2 - U2 - noChange noChange 5700 b 1.71
PL CON 303000 83.28 = N/A N/A 65 estimate c 4.72 - > 1.30 - 26.30 38.80 - 63.80 N/A - N/A U2 - good poor bad U2 U2 - U2 - noChange noChange 292000 b 87.58
RO CON 1900 0.52 = N/A N/A 1300 interval b 94.36 = 800 - 1000 N/A - 100 N/A - 200 FV = good good good FV FV = FV N/A noChange noChange 1300 a 0.39
SE CON 2200 0.60 = N/A N/A 0.76 estimate a 0.06 - >> 0.48 - 0.48 0.28 - 0.28 N/A - N/A U2 - good bad bad U2 U2 - U2 + noChange knowledge 1500 a 0.45
FR MED 7200 100 - x 27.20 27.20 27.20 estimate c 100 u N/A - N/A N/A - N/A 27.20 - 27.20 XX u poor unk unk XX XX x XX N/A noChange noChange 2800 b 100
SK PAN 885.16 100 - N/A N/A 0.37 estimate b 100 - > 0.17 - 0.17 0.20 - 0.20 N/A - N/A U1 u poor poor poor U1 U1 - U2 - knowledge N/A 1000 b 100
RO STE 100 100 = N/A N/A 100 interval b 100 = N/A - 50 N/A - N/A N/A - 50 FV = good good good FV FV = N/A N/A knowledge knowledge 100 a 100
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 0MS 0MS - | - | - - | - | - - | - | - 0MS 0MS MTX x XX x nc nc XX D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 30397 2XA 7.93 12.97 2XA - | - | 2.52 - | - | 3.31 - | - | 4.62 1 x 2XA MTX x U2 = nc nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BLS 400 0MS = ≈ 400 0MS = - | - | - - | - | - - | - | - 0MS = 0MS MTX = XX x nong nong XX A=

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BOR 97711 0EQ = ≈ 97711 7.43 9.35 2XA - | - | - - | - | 3.76 - | - | 2.87 2XA 2XA MTX x U2 - nc nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 CON 363831 2XA 77 79 2XA 5.5 | 31 | - 44 | 69 | - 0.3 | 1.5 | - 0EQ - 0EQ MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 MED 7200 0MS - x 27.2 0MS x ≈ 27.2 - | - | 0 - | - | 0 - | - | 27.2 0MS x 0MS MTX x XX x nc nc XX D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 PAN 885.16 0MS - ≈ 885.16 0.37 0MS - < 0.41 - | - | 0.17 - | - | 0.2 - | - | 0 1 x 0MS MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 STE 100 0MS = ≈ 100 0MS = - | - | - - | - | - - | - | - 0MS = 0MS MTX = XX x nong nong XX A=

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.