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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, 6440 Alluvial meadows of river valleys of the Cnidion dubii, 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)
1600 100 50
0.27 0.12 N/A
250 N/A N/A
10.99 0.67 N/A
N/A N/A 2.18
0.61 0.11 0.30
37.73 71.36 2.77
0.05 0.05 0.05
4.41 N/A 0.83
14.75 41.75 N/A
3650 200 200
4.94 2.47 0.48
130.50 174 130.50
900 50 50
7.42 5.38 17.93
1050 N/A 50
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
RO ALP 3400 100 = N/A N/A 2200 interval b 100 = 1200 - 2000 100 - 100 N/A - 100 FV + good good good FV FV = FV N/A noChange noChange 1600 a 100
DE ATL 1065 100 = 1065 0.38 0.38 0.38 estimate b 100 = > 0.27 - 0.27 0.12 - 0.12 N/A - N/A U2 x good unk unk XX U2 = U2 x noChange knowledge 800 a 100
RO BLS 800 100 = N/A N/A 300 interval b 100 = 200 - 300 N/A - N/A N/A - N/A FV + good good good FV FV = FV N/A noChange noChange 200 a 100
AT CON 2300 5.50 - > N/A N/A 11.70 interval a 0.23 + >> 10.99 - 10.99 0.67 - 0.67 N/A - N/A U1 x poor poor poor U1 U2 x U2 = noChange noInfo 1800 a 6.21
BG CON 1000 2.39 = 1000 N/A N/A 2.18 minimum b 0.04 u 2.18 N/A - N/A N/A - N/A 2.18 - 2.18 XX x bad bad bad U2 U2 x U1 = method method 900 b 3.10
CZ CON 2100 5.02 = > N/A N/A 1.01 estimate a 0.02 = > 0.61 - 0.61 0.11 - 0.11 0.30 - 0.30 U1 u poor poor poor U1 U1 = U1 = noChange noChange 1100 a 3.79
DE CON 19332 46.21 - > 110.21 113.80 111.90 minimum a 2.20 - > 37.34 - 38.13 70.82 - 71.90 1.71 - 3.82 U2 - poor poor bad U2 U2 - U2 = noChange method 15400 a 53.10
FR CON 300 0.72 = >> 0.10 0.10 N/A estimate c 0 = >> N/A - 0.10 N/A - 0.10 N/A - 0.10 U2 = good poor poor U1 U2 = U2 - noChange noChange 400 c 1.38
HR CON 1000 2.39 u 2.90 7.56 N/A estimate b 0.10 u > 2.14 - 6.67 N/A - N/A 0.77 - 0.89 U1 u unk bad poor U2 U2 x N/A N/A N/A 1000 a 3.45
PL CON 7300 17.45 = N/A N/A 56.46 estimate b 1.11 + 7.20 - 22.30 34.20 - 49.30 N/A - N/A U2 - poor poor poor U1 U2 = U1 - genuine knowledge 4100 b 14.14
RO CON 8500 20.32 = N/A N/A 4900 interval b 96.29 = 3200 - 4100 N/A - 400 N/A - 400 FV + good good good FV FV = FV N/A noChange noChange 4300 a 14.83
CZ PAN 1900 3.08 = N/A N/A 7.88 estimate a 0.47 = 4.94 - 4.94 2.47 - 2.47 0.48 - 0.48 U2 - poor poor poor U1 U2 - U1 = method genuine 1100 a 1.71
HU PAN 55655 90.12 - 420 450 N/A estimate b 25.99 u 126 - 135 168 - 180 126 - 135 U2 - poor poor bad U2 U2 - U1 - method noChange 58800 b 91.59
RO PAN 1600 2.59 = N/A N/A 1200 interval b 71.70 = 800 - 1000 N/A - 100 N/A - 100 FV + good good good FV FV = FV N/A noChange noChange 1100 a 1.71
SK PAN 2604.55 4.22 = N/A N/A 30.74 estimate b 1.84 = > 7.42 - 7.42 5.38 - 5.38 17.93 - 17.93 U1 u good good good FV U1 = U1 = N/A N/A 3200 b 4.98
RO STE 2600 100 = N/A N/A 1300 interval b 100 = 900 - 1200 N/A - N/A N/A - 100 FV u good good good FV FV = FV N/A noChange noChange 1200 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 CON 41832 1 - < 44205 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX = U2 = nc nc U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 1065 0MS = 1065 0.38 0MS = < 0.42 - | - | 0.27 - | - | 0.12 - | - | 0 0MS x 0MS MTX = U2 x nc nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BLS 800 0MS = ≈ 800 0MS = - | - | - - | - | - - | - | - 0MS + 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ALP 3400 0MS = ≈ 3400 0MS = - | - | - - | - | - - | - | - 0MS + 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 STE 2600 0MS = ≈ 2600 0MS = - | - | - - | - | - - | - | - 0MS x 0MS MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 PAN 61760 1 - ≈ 61760 474 2XA < 477 - | - | 143 - | - | 182 - | - | 149 1 - 2XA MTX - U1 - nong nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 CON N/A | 400 | - 3200 | 4100 | - N/A | 400 | - 2XA - poor poor poor 2XA 3XA - U2 = U2 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.