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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, 7140 Transition mires and quaking bogs, Continental. Show all Bogs, mires & fens
Member States reports
MS 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 3
N/A N/A 1.10
N/A N/A 1.58
44.01 5.23 4.15
41.15 20.64 26.84
7.92 10.76 N/A
N/A N/A 18.61
0.05 0.10 N/A
1.09 0.03 0
N/A N/A N/A
118 137 4
2100 300 300
39.40 8.60 N/A
N/A N/A 0.02
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 2000 0.55 = > N/A N/A 3 estimate b 0.08 x >> N/A - N/A N/A - N/A 3 - 3 XX x poor bad poor U2 U2 x U2 x noChange noChange 1300 b 0.60
BE 7000 1.91 = 1 1.20 1.08 estimate b 0.03 + >> N/A - N/A N/A - N/A 1 - 1.20 U2 = good bad bad U2 U2 + U2 + noChange noChange 4900 b 2.28
BG 6600 1.80 + 6600 N/A N/A 1.58 minimum b 0.04 = 1.58 N/A - N/A N/A - N/A 1.58 - 1.58 XX x good good unk FV FV = U1 = method method 1800 b 0.84
CZ 68600 18.74 = N/A N/A 53.40 estimate a 1.37 = 44.01 - 44.01 5.23 - 5.23 4.15 - 4.15 U1 - poor poor poor U1 U1 - U1 - noChange noChange 41700 a 19.37
DE 110518 30.18 - > 68.78 106.81 88.08 estimate b 2.26 - > 39.21 - 43.08 19.79 - 21.48 7.10 - 46.57 U1 - poor poor poor U1 U1 - U2 = method method 82100 b 38.13
DK 29540 8.07 = N/A N/A 18.68 estimate b 0.48 = 4.01 - 11.83 6.85 - 14.67 N/A - N/A U2 - good good bad U2 U2 - U1 = N/A N/A 12500 b 5.81
FR 23200 6.34 = 13.53 23.70 N/A estimate c 0.48 = x N/A - N/A N/A - N/A 13.53 - 23.70 U1 - poor poor poor U1 U1 - U1 - noChange noChange 18800 b 8.73
HR 500 0.14 = >> N/A N/A 0.15 estimate a 0 = >> 0.05 - 0.05 0.10 - 0.10 N/A - N/A U2 - bad bad poor U2 U2 - N/A N/A noChange noChange 500 a 0.23
IT 7200 1.97 - >> 4.85 12.13 N/A estimate b 0.22 - >> 1.09 - 1.09 0.03 - 0.03 0 - 0 U1 = bad bad poor U2 U2 - U2 - knowledge knowledge 3300 b 1.53
LU 600 0.16 - >> 0.01 0.01 N/A estimate b 0 - 0.04 N/A - N/A N/A - N/A N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 300 a 0.14
PL 80400 21.96 = 170 350 260 minimum c 6.66 = 73 - 163 92 - 182 4 - 4 U2 - good good poor U1 U2 - U1 - genuine noChange 34100 b 15.84
RO 6600 1.80 = N/A N/A 3400 interval b 87.15 = 1800 - 2400 100 - 500 100 - 500 U1 = good good poor U1 U1 = U1 N/A knowledge knowledge 1500 b 0.70
SE 22900 6.25 = 22900 N/A N/A 48 estimate b 1.23 = 48 39.40 - 39.40 8.60 - 8.60 N/A - N/A U1 - good good poor U1 U1 - U1 - noChange noChange 12200 b 5.67
SI 501 0.14 = N/A N/A 0.02 minimum b 0 - > N/A - N/A N/A - N/A 0.02 - 0.02 U1 - good poor poor U1 U1 - U1 = noChange knowledge 300 c 0.14
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 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 366159 2GD - 366159 363.17 596.85 500.61 2GD - > 500.61 200.77 | 302.46 | 251.62 132.6 | 182.355 | 182.36 34.38 | 84.22 | 59.3 2GD - poor poor poor 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

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.