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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, Bogs, mires & fens, 7210 Calcareous fens with Cladium mariscus and species of the Caricion davallianae, All bioregions. Show all Bogs, mires & fens
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)
1.90 0.01 N/A
0.07 N/A N/A
N/A N/A 11.60
0.15 0 0
N/A N/A 0.03
0 0 0.01
0 0.01 0.01
0.02 0.02 N/A
0.04 N/A 1.02
200 150 150
57.15 12.54 N/A
N/A N/A 1
2.88 3.21 0.47
24 1 0.50
0.10 N/A N/A
0.10 0.70 N/A
N/A N/A 7.01
75 N/A N/A
0.94 0.26 N/A
N/A N/A 0.01
0.03 N/A 0.01
5.72 1.66 0.96
1 3.04 N/A
N/A N/A 15.60
6.63 0.09 0.03
7.60 12.20 0.40
50 100 50
0.30 N/A N/A
0.03 0.02 N/A
10.10 6.10 5.27
N/A N/A 10
2.19 N/A 0.24
5.35 0.12 0.02
8.05 1.15 2.30
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 3300 20.66 = > N/A N/A 1.90 interval a 12.31 = > 1.90 - 1.90 0.01 - 0.01 N/A - N/A FV = poor poor good U1 U1 = U1 = noChange noChange 2900 a 33.33
DE ALP 835 5.23 = 835 0.07 0.07 0.07 estimate a 0.42 = 0.07 0.07 - 0.07 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 800 b 9.20
FR ALP 4500 28.18 = > N/A 11.60 11.60 estimate c 75.16 - > N/A - N/A N/A - N/A 11.60 - 11.60 XX - bad bad bad U2 U2 - U1 - noInfo noChange 2300 a 26.44
IT ALP 6400 40.08 = >> 0.59 3.05 N/A estimate b 11.79 + 0.15 - 0.15 0 - 0 0 - 0 U1 = poor good poor U1 U2 = U2 - knowledge knowledge 1800 b 20.69
SI ALP 735 4.60 = > N/A N/A 0.03 estimate a 0.19 = >> N/A - N/A N/A - N/A 0.03 - 0.03 XX x unk unk unk XX U2 = U1 = knowledge noChange 700 a 8.05
SK ALP 200 1.25 = N/A N/A 0.02 estimate a 0.12 = > 0 - 0 0 - 0 0.01 - 0.01 U1 u good poor poor U1 U1 = U1 = N/A N/A 200 b 2.30
BE ATL 900 1.74 = 0.03 0.03 0.03 estimate a 0.01 = >> 0 - 0 0.01 - 0.01 0.01 - 0.01 U2 x good poor poor U2 U2 = U2 = noChange noChange 400 a 1.03
DE ATL 2052 3.96 = > 0.04 0.04 0.04 estimate b 0.01 - 0.13 0.02 - 0.02 0.02 - 0.02 N/A - N/A U2 - poor bad bad U2 U2 - U2 - noChange noChange 1800 b 4.62
ES ATL 2100 4.05 = > N/A N/A 2.09 estimate a 0.49 = 0.04 - 0.04 N/A - N/A N/A - 2.05 U1 x good poor unk U1 U1 = U1 + noChange knowledge 2100 b 5.38
FR ATL 17000 32.79 = 200 500 N/A estimate c 81.50 = < 100 - 300 100 - 200 100 - 200 FV x good good poor U1 U1 = U1 = noChange noChange 16700 a 42.82
IE ATL 18800 36.26 = N/A N/A 69.71 estimate b 16.23 = > 57.15 - 57.15 12.54 - 12.54 N/A - N/A U1 u good poor poor U1 U1 = U2 x knowledge noInfo 11200 b 28.72
NL ATL 4400 8.49 = N/A N/A 1 estimate a 0.23 = N/A - N/A N/A - N/A 1 - 1 U1 x good good poor U1 U1 = U1 = noChange noChange 3100 a 7.95
UK ATL 6589.38 12.71 = 6589.38 N/A N/A 6.56 estimate a 1.53 + >> 1.67 - 4.08 2.10 - 4.32 0.01 - 0.92 U2 + good bad bad U2 U2 + U2 + noChange noChange 3700 a 9.49
EE BOR 10300 11.90 = N/A N/A 25 estimate a 23.17 = < 24 - 24 1 - 1 0.50 - 0.50 FV = good good good FV FV = U1 = knowledge noChange 6300 a 35.20
FI BOR 200 0.23 = N/A N/A 0.10 estimate a 0.09 = 0.10 - 0.10 N/A - N/A N/A - N/A FV = good good good FV FV = U1 - knowledge knowledge 200 a 1.12
LT BOR 64787 74.84 = 64787 N/A N/A 0.79 estimate a 0.73 u 0.10 - 0.10 0.70 - 0.70 N/A - N/A U2 - good good poor U1 U2 x FV N/A knowledge knowledge 2500 a 13.97
LV BOR 3180 3.67 + x 6.02 8 N/A estimate b 6.50 + x N/A - N/A N/A - N/A 6.02 - 8 XX x good good unk FV FV = U1 = knowledge knowledge 2400 b 13.41
SE BOR 8100 9.36 = 8100 N/A N/A 75 estimate b 69.51 = 75 75 - 75 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 6500 b 36.31
AT CON 1800 2.63 = > N/A N/A 1.20 interval a 0.26 = > 0.94 - 0.94 0.26 - 0.26 N/A - N/A U1 - poor poor poor U1 U1 - U1 = noChange knowledge 1500 a 3.68
BG CON 200 0.29 = 200 N/A N/A 0.01 minimum b 0 - 0.01 N/A - N/A N/A - N/A 0.01 - 0.01 XX x good poor unk U1 U1 x FV N/A method method 200 b 0.49
CZ CON 400 0.58 u N/A N/A 0.04 estimate a 0.01 = 0.03 - 0.03 N/A - N/A 0.01 - 0.01 FV = good good good FV FV = FV N/A noChange noChange 300 a 0.74
DE CON 24472 35.70 = 9.54 10.52 10.03 estimate b 2.19 - > 5.36 - 6.08 1.60 - 1.71 0.62 - 1.31 U1 - good poor poor U1 U1 - U1 = noChange method 18500 b 45.34
DK CON 11715 17.09 = N/A N/A 4.04 estimate b 0.88 = 0.19 - 1.81 2.23 - 3.85 N/A - N/A U2 = good good bad U2 U2 = U2 + N/A N/A 2800 b 6.86
FR CON 7363 10.74 = N/A N/A 15.60 estimate c 3.40 = N/A - N/A N/A - N/A 15.60 - 15.60 XX = good good poor U1 U1 = U1 - method method 7700 a 18.87
IT CON 15400 22.47 = > 6.73 8.17 N/A estimate b 1.62 - > 6.63 - 6.63 0.09 - 0.09 0.03 - 0.03 U1 + poor poor poor U1 U1 = U2 - noChange noChange 5500 b 13.48
PL CON 5800 8.46 = N/A N/A 20 estimate b 4.36 = 4.80 - 10.40 9.40 - 15 0.40 - 0.40 U2 - good good poor U1 U2 - U2 = noChange knowledge 3300 b 8.09
RO CON 400 0.58 = > N/A N/A 400 interval b 87.20 = > N/A - 100 N/A - 200 N/A - 100 U1 x poor poor poor U1 U1 - U2 N/A knowledge knowledge 400 a 0.98
SE CON 700 1.02 = 700 N/A N/A 0.30 estimate b 0.07 = 0.30 0.30 - 0.30 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 b 0.98
SI CON 299 0.44 = > N/A N/A 0.05 estimate a 0.01 = >> 0.03 - 0.03 0.02 - 0.02 N/A - N/A U2 = poor bad bad U2 U2 = U2 = noChange noChange 200 a 0.49
ES MED 14200 51.69 = x N/A N/A 21.47 minimum b 53.58 = x 10.10 - 10.10 6.10 - 6.10 5.27 - 5.27 U2 - good good poor U1 U2 - U1 x knowledge knowledge 14200 b 57.03
FR MED 4500 16.38 = x 9 11 N/A estimate c 24.96 - x N/A - N/A N/A - N/A 9 - 11 U1 u good poor poor U2 U2 - U2 - noChange noChange 4300 a 17.27
GR MED 574 2.09 = N/A N/A 2.43 minimum b 6.06 = 2.19 - 2.19 N/A - N/A 0.24 - 0.24 FV = good good poor U1 U1 = FV N/A knowledge method 1500 a 6.02
IT MED 8200 29.85 = 4.70 7.64 N/A estimate b 15.40 + 5.35 - 5.35 0.12 - 0.12 0.02 - 0.02 U1 = good good poor U1 U1 = U2 - noChange noChange 4900 b 19.68
HU PAN 3695 100 = 10 13 N/A estimate b 100 + 7 - 9.10 1 - 1.30 2 - 2.60 FV + good good good FV FV + FV N/A noChange method 3700 b 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 15970 2GD = > 2.60 16.6 15.43 2GD = >> - | - | 2.11 - | - | 0.01 - | - | 11.64 2GD - 2GD MTX - U1 - nong nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 51841.38 1 = < 51882.9 429.42 2GD = > - | - | 260 - | - | 165 - | - | 152 2GD x 2GD MTX = U2 + nong nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 86567 0EQ = ≈ 86567 106.91 108.89 107.90 1 = ≈ 107.9 - | - | 99.20 - | - | 1.7 6.52 | 8.50 | 7.51 1 = 2XA MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 68549 1 = > 2GD - > - | - | - - | - | - - | - | - 2GD - 2GD MTX - U1 - nc nc U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 27474 1 = x 37.6 42.54 40.07 1 = x - | - | 17.63 - | - | 6.22 - | - | 15.53 2XA - 2XA MTX - U1 x nong nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 3695 0MS = ≈ 3695 10 13 11.5 0MS + ≈ 11.5 7 | 9.1 | 8.05 1 | 1.3 | 1.15 2 | 2.6 | 2.3 0MS + good good good 0MS MTX + FV N/A nc nong FV A=

02/20

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.