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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, 7150 Depressions on peat substrates of the Rhynchosporion, 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)
N/A N/A 2.75
0.14 0.01 0.03
0.05 0.03 0.25
1.66 1.14 0
N/A N/A N/A
75 N/A 75
0.65 N/A 0.05
0.07 0.05 0.26
2.14 0.02 0.34
1.79 1.51 N/A
0.74 0.14 22.80
21.30 0.40 0.30
11.21 10.21 N/A
N/A N/A 3.20
N/A N/A N/A
5.50 6.71 0.04
64.20 0.04 N/A
N/A N/A 1.43
6.30 N/A N/A
N/A N/A 6
N/A N/A 0.02
0.14 N/A 0.01
2.38 0.23 0.52
0.19 0.26 N/A
N/A N/A 10
0.02 0.01 N/A
0.56 0.61 N/A
11.60 27.20 1.40
N/A N/A 50
N/A N/A 0.01
0.25 0.08 0.50
N/A N/A N/A
0.12 0 0
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
AT ALP 1500 7.78 x > 0.50 5 N/A estimate b 1.32 - >> N/A - N/A N/A - N/A 0.50 - 5 XX x poor bad poor U2 U2 x U2 x noChange noChange 1000 c 10.64
DE ALP 2000 10.37 = 0.16 0.22 0.19 estimate b 0.09 = 0.13 - 0.16 0.01 - 0.02 0.02 - 0.04 FV = good good good FV FV = FV N/A noChange noChange 1400 b 14.89
FR ALP 1400 7.26 = 1 1 N/A estimate d 0.48 = N/A - 0.10 N/A - 0.05 N/A - 0.50 U1 x good unk unk XX U1 = U1 = noChange noChange 1200 b 12.77
IT ALP 13700 71.01 - > 2.78 3.35 N/A estimate b 1.48 - > 1.66 - 1.66 1.14 - 1.14 0 - 0 U2 = bad bad bad U2 U2 - U2 - knowledge knowledge 5100 b 54.26
PL ALP 0.01 0 x x N/A N/A 0.01 estimate a 0 x x N/A - N/A N/A - N/A N/A - N/A XX x unk unk unk XX XX U2 - method method N/A b 0
RO ALP 200 1.04 = > N/A N/A 200 interval b 96.29 = > 50 - 100 N/A - N/A 50 - 100 U1 = bad poor poor U2 U2 - U1 N/A noChange noChange 100 a 1.06
SI ALP 492 2.55 = N/A N/A 0.70 minimum a 0.34 = 0.65 - 0.65 N/A - N/A 0.05 - 0.05 XX x good good unk FV FV = FV N/A noChange noChange 600 a 6.38
BE ATL 4400 2.96 = 0.38 0.38 0.38 estimate a 0.49 + >> 0.07 - 0.07 0.05 - 0.05 0.26 - 0.26 U2 x good poor bad U2 U2 = U2 + noChange noChange 2900 a 3.02
DE ATL 27350 18.42 = > 2.46 2.56 2.51 estimate b 3.28 x x 2.14 - 2.14 0.02 - 0.02 0.34 - 0.34 FV = poor unk unk XX U1 = U1 x noChange knowledge 15900 b 16.58
DK ATL 13120 8.84 = N/A N/A 3.30 estimate b 4.32 u > 1.29 - 2.29 1.01 - 2.01 N/A - N/A U2 = good poor bad U2 U2 = U1 = N/A N/A 3000 b 3.13
ES ATL 9200 6.20 = > N/A N/A 23.54 estimate a 30.83 = x 0.60 - 0.88 N/A - 0.27 22.65 - 22.94 XX x good poor unk U1 U1 = U1 x noChange knowledge 8800 b 9.18
FR ATL 16600 11.18 x > N/A N/A 22 minimum c 28.81 x x 21.30 - 21.30 0.40 - 0.40 0.30 - 0.30 U1 x unk unk unk XX U1 x U2 - noChange noChange 14900 b 15.54
IE ATL 46900 31.59 = 46900 N/A N/A 21.43 estimate b 28.07 - >> 10.80 - 11.62 9.80 - 10.62 N/A - N/A U2 - poor bad bad U2 U2 - U1 - method noChange 32900 b 34.31
NL ATL 12900 8.69 = N/A N/A 3.20 estimate a 4.19 = N/A - N/A N/A - N/A 3.20 - 3.20 U1 x good good poor U1 U1 = U1 = noChange noChange 10600 a 11.05
PT ATL 2300 1.55 x x N/A N/A N/A d 0 - N/A - N/A N/A - N/A N/A - N/A U2 - poor bad bad U2 U2 - U1 = knowledge knowledge 1000 c 1.04
UK ATL 15679.41 10.56 = 15679.41 N/A N/A N/A d 0 = x 5.50 - N/A 6.71 - N/A 0.04 - 0.04 U2 = good unk bad U2 U2 = U2 - noChange genuine 5900 b 6.15
EE BOR 28700 28.75 = 5.40 123 N/A estimate a 89.25 = x 5.40 - 123 0.04 - 0.04 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 13400 a 72.83
LT BOR 64787 64.89 = 64787 N/A N/A 1.43 estimate a 1.99 u N/A - N/A N/A - N/A 1.43 - 1.43 U1 - good poor poor U1 U1 x XX N/A knowledge knowledge 900 a 4.89
LV BOR 6354 6.36 = x N/A N/A 6.30 estimate b 8.76 = x 6.30 - 6.30 N/A - N/A N/A - N/A U1 = good poor poor U1 U1 = U1 - knowledge knowledge 4100 b 22.28
AT CON 500 0.77 x >> 2 10 N/A estimate c 3.73 - > N/A - N/A N/A - N/A 2 - 10 XX x bad bad poor U2 U2 x U2 x noChange noChange 600 c 1.55
BE CON 1800 2.76 = >> 0.02 0.02 0.02 estimate b 0.01 + >> N/A - N/A N/A - N/A 0.02 - 0.02 U2 + bad bad bad U2 U2 + U2 + noChange noChange 1400 a 3.61
CZ CON 1300 1.99 = N/A N/A 0.15 estimate a 0.09 = 0.14 - 0.14 N/A - N/A 0.01 - 0.01 U1 = good poor poor U1 U1 = U1 - noChange method 1200 a 3.09
DE CON 25966 39.79 - > 2.92 3.33 3.12 estimate b 1.94 - > 2.31 - 2.44 0.19 - 0.26 0.41 - 0.62 U1 - poor poor poor U1 U1 - U1 = noChange genuine 19000 b 48.97
DK CON 11550 17.70 = N/A N/A 0.45 estimate b 0.28 u > 0.10 - 0.28 0.17 - 0.35 N/A - N/A U2 = good poor bad U2 U2 = U1 = N/A N/A 1400 b 3.61
FR CON 12300 18.85 = 8 12 N/A estimate d 6.21 - > N/A - N/A N/A - N/A 8 - 12 XX x poor poor poor U1 U1 x U2 - knowledge knowledge 10300 b 26.55
HR CON 300 0.46 = >> N/A N/A 0.03 estimate a 0.02 = >> 0.02 - 0.02 0.01 - 0.01 N/A - N/A U2 - bad bad bad U2 U2 - N/A N/A noChange noChange 300 a 0.77
IT CON 5600 8.58 = 1.16 1.31 N/A estimate b 0.77 - > 0.56 - 0.56 0.61 - 0.61 N/A - N/A U2 - good poor bad U2 U2 x XX N/A noChange noChange 1400 b 3.61
PL CON 5600 8.58 u N/A N/A 40 estimate b 24.84 u 5.60 - 17.60 21.20 - 33.20 1.40 - 1.40 U2 - poor bad bad U2 U2 x U2 - noChange knowledge 3000 b 7.73
RO CON 100 0.15 = > N/A N/A 100 interval c 62.11 = > N/A - N/A N/A - N/A N/A - 100 U1 = unk bad poor U2 U2 = U2 N/A noChange noChange 100 a 0.26
SI CON 242 0.37 = N/A N/A 0.01 estimate a 0 = N/A - N/A N/A - N/A 0.01 - 0.01 U1 - good good poor FV U1 - FV N/A knowledge knowledge 100 a 0.26
ES MED 5500 58.51 = N/A N/A 0.83 minimum b 42.81 = 0.25 - 0.25 0.08 - 0.08 0.50 - 0.50 U1 x unk unk unk XX U1 = U1 x noChange noInfo 4500 b 71.43
FR MED 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
IT MED 3500 37.23 = 0.51 1.71 N/A estimate b 57.19 - > 0.12 - 0.12 0 - 0 0 - 0 U1 - good poor poor U1 U1 x XX N/A noChange noChange 1500 b 23.81
PT MED 400 4.26 x x N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U1 - poor poor poor U1 U1 - U1 x noChange knowledge 300 c 4.76
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 19292 1 - > 19292.01 4.45 9.57 7.75 1 - >> 7.75 2.44 | 2.57 | 2.50 1.15 | 1.20 | 1.18 0.57 | 5.59 | 3.08 1 x bad bad unk 2XA MTX - U2 x nc nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 ATL 148449.41 1 = > 148449.41 76.30 76.40 76.35 1 - >> 76.35 41.69 | 38.30 | 40.0 18.0 | 13.38 | 15.69 28.79 | 27.08 | 26.93 2GD x poor unk bad 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 BOR 99841 0EQ = ≈ 99841 13.13 130.73 71.93 1 = x 11.70 | 129.30 | 70.50 0.04 | 0.04 | 0.04 1.43 | 1.43 | 1.43 1 = good poor poor 2XA MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 CON 65158 2GD - > 65258 54.72 67.29 61.01 2GD - > 61.01 8.73 | 21.04 | 14.89 22.18 | 34.43 | 23.3 11.84 | 24.05 | 17.95 2GD - poor poor bad 2GD MTX - U2 - nong nc U2 C

04/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 MED 9400 1 = ≈ 9400 1.34 2.54 1.94 2XA - > 1.94 0.37 | 0.37 | 0.37 0.08 | 0.08 | 0.08 0.5 | 0.5 | 0.5 0EQ x unk unk unk 2XA MTX x U1 x nc nc U1 D

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.