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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, 7110 Active raised bogs, 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)
3.96 2.43 N/A
2.42 0.17 0.40
3.50 2.50 5.50
N/A 0.04 N/A
3.43 1.18 0
1.98 1.98 N/A
4700 50 50
0.65 N/A N/A
0.02 0.01 0.19
N/A 0.01 N/A
1.26 2.36 0.68
N/A 0.51 N/A
2.04 N/A 22
12.50 37.50 37.50
1.47 15.12 N/A
0.60 0.70 N/A
18.37 74.36 69.27
1212 118 7
956 251 2793
87.80 37.60 N/A
99.10 49.57 842.74
950 300 N/A
0.78 0.32 0.11
0.47 0.73 N/A
7.12 0.35 0.04
19.05 4.86 1.50
12.51 16.95 N/A
N/A N/A 48
N/A 0.04 N/A
N/A N/A N/A
24.58 25.42 N/A
6 3 N/A
21.50 48.50 N/A
1.15 0.40 0.12
5 5 5
0.15 0.15 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 15400 22.15 = > N/A N/A 6.40 estimate a 0.13 - >> 3.64 - 4.28 2.11 - 2.75 N/A - N/A U2 - poor bad bad U2 U2 - U2 = noChange knowledge 13000 a 29.55
DE ALP 3324 4.78 = 2.50 3.50 3 estimate b 0.06 = 2.05 - 2.80 0.15 - 0.20 0.30 - 0.50 FV = good good good FV FV = FV N/A noChange noChange 2800 b 6.36
FR ALP 15600 22.44 = 1 10 N/A estimate c 0.11 = 1 - 6 1 - 4 1 - 10 U1 x unk poor poor U1 U1 = U1 = noChange noChange 11700 a 26.59
HR ALP 100 0.14 = >> N/A N/A 0.04 estimate a 0 = >> N/A - N/A 0.04 - 0.04 N/A - N/A U2 = bad bad bad U2 U2 = N/A N/A noChange noChange N/A a 0
IT ALP 22500 32.36 + 5.15 6.92 N/A estimate b 0.12 - > 3.43 - 3.43 1.18 - 1.18 0 - 0 U2 = good poor bad U2 U2 - U2 - knowledge knowledge 9200 b 20.91
PL ALP 1600 2.30 = N/A N/A 3.96 estimate a 0.08 = 0.99 - 2.97 0.99 - 2.97 N/A - N/A U1 u good good poor U1 U1 = U1 = noChange noChange 1200 b 2.73
RO ALP 9800 14.10 = N/A N/A 4900 interval b 99.48 = 4700 - 4700 N/A - 100 N/A - 100 U1 = good good poor U1 U1 - U1 N/A knowledge knowledge 4800 a 10.91
SI ALP 458 0.66 = N/A N/A 0.65 minimum a 0.01 = 0.65 - 0.65 N/A - N/A N/A - N/A U1 = good good good FV U1 = U1 = noChange noChange 500 a 1.14
SK ALP 740.16 1.06 = N/A N/A 0.22 estimate b 0 = 0.02 - 0.02 0.01 - 0.01 0.19 - 0.19 FV u good good good FV U1 = U1 = N/A N/A 800 b 1.82
BE ATL 100 0.08 = >> 0.01 0.01 0.01 estimate a 0.01 = >> N/A - N/A 0.01 - 0.01 N/A - N/A U2 x bad bad bad U2 U2 x U2 = noChange method 100 b 0.12
DE ATL 12494 9.41 = > 4.30 4.30 4.30 estimate b 1.51 - >> 1.26 - 1.26 2.36 - 2.36 0.68 - 0.68 U2 - poor bad bad U2 U2 - U2 = noChange method 7000 b 8.37
DK ATL 2840 2.14 = N/A N/A 0.51 estimate b 0.18 = >> N/A - N/A 0.51 - 0.51 N/A - N/A U2 = good bad bad U2 U2 = U2 + N/A N/A 700 b 0.84
ES ATL 12700 9.56 = N/A N/A 25.70 minimum b 9.01 = x 1.08 - 3.01 N/A - N/A 19.37 - 24.62 XX x good poor unk U1 U1 = U1 - noChange knowledge 12100 b 14.47
FR ATL 15000 11.29 = > 50 100 N/A estimate c 26.28 - > 5 - 20 25 - 50 25 - 50 U2 x good poor unk U2 U2 x U2 - noChange noChange 15100 a 18.06
IE ATL 17300 13.03 = 21700 N/A N/A 16.59 estimate a 5.81 - 41.59 1.47 - 1.47 15.12 - 15.12 N/A - N/A U2 - poor bad bad U2 U2 - U2 - noChange noChange 11300 a 13.52
NL ATL 5500 4.14 = >> N/A N/A 1.30 estimate a 0.46 + >> 0.30 - 0.90 0.40 - 1 N/A - N/A U2 - bad bad bad U2 U2 = U2 = noChange noChange 5000 a 5.98
UK ATL 66878.27 50.36 = 66878.27 N/A N/A 161.96 estimate b 56.75 = >> 18.07 - 18.67 69.61 - 79.11 69.27 - 69.27 U2 + good poor bad U2 U2 + U2 - noChange genuine 32300 a 38.64
EE BOR 45400 7.31 = N/A N/A 1340 estimate a 17.39 = 1212 - 1212 118 - 118 7 - 7 U1 = good poor good FV U1 = U1 + noChange knowledge 32300 a 10.27
FI BOR 292300 47.07 = N/A N/A 4000 estimate c 51.90 = > 956 - N/A 251 - N/A 2793 - 2793 U2 - good poor bad U2 U2 - U2 - noChange noChange 158800 b 50.51
LT BOR 64787 10.43 = 64787 N/A N/A 125.40 estimate a 1.63 u > 87.80 - 87.80 37.60 - 37.60 N/A - N/A U2 u good poor poor U1 U2 x U1 = knowledge knowledge 20000 a 6.36
LV BOR 57348 9.23 = x 862.82 1120 N/A estimate b 12.86 = x 86.20 - 112 43.14 - 56 733.48 - 952 U1 = good poor poor U1 U1 = U2 - knowledge knowledge 32000 a 10.18
SE BOR 161200 25.96 = 161200 N/A N/A 1250 estimate b 16.22 = 1257 950 - 950 300 - 300 N/A - N/A U1 = good poor poor U1 U1 = U1 = noChange noChange 71300 b 22.68
AT CON 1800 1.47 = > N/A N/A 1.09 interval a 0.73 - >> 0.72 - 0.83 0.26 - 0.37 0.11 - 0.11 U2 - poor bad bad U2 U2 - U2 = noChange genuine 1200 a 1.79
BE CON 2600 2.13 = N/A N/A 1.20 estimate b 0.81 = >> 0.47 - 0.47 0.73 - 0.73 N/A - N/A U2 = good bad bad U2 U2 = U2 + noChange noChange 2200 b 3.28
CZ CON 8400 6.87 = N/A N/A 7.51 estimate a 5.05 = 7.12 - 7.12 0.35 - 0.35 0.04 - 0.04 U1 = good good poor U1 U1 = U1 = noChange knowledge 5400 a 8.06
DE CON 11670 9.54 - > 24.39 26.41 25.39 estimate b 17.08 - > 17.14 - 20.95 3.40 - 6.31 1.05 - 1.94 U1 = poor poor poor U1 U1 - U1 = noChange genuine 8100 b 12.09
DK CON 8320 6.80 = N/A N/A 29.46 estimate b 19.81 = > 2.77 - 22.24 7.22 - 26.69 N/A - N/A U1 = good poor poor U1 U1 = U2 + N/A N/A 3000 b 4.48
FR CON 23600 19.30 = x 36 60 N/A estimate d 32.28 x > N/A - N/A N/A - N/A 36 - 60 FV + poor poor poor U1 U1 = U1 - noChange noChange 19300 a 28.81
HR CON 100 0.08 = >> N/A N/A 0.04 estimate c 0.03 - >> N/A - N/A 0.04 - 0.04 N/A - N/A U2 = bad bad bad U2 U2 - N/A N/A noChange noChange 100 a 0.15
IT CON 1100 0 x x N/A N/A 0.01 estimate b 0 x N/A - N/A 0 - 0 N/A - N/A U1 u unk unk poor XX U1 x N/A N/A noChange noChange N/A b 0
PL CON 58100 47.51 = 15 39 27 estimate b 18.16 u > 12.08 - 37.08 12.92 - 37.92 N/A - N/A U1 - good poor poor U1 U1 x U2 = genuine genuine 25500 b 38.06
SE CON 7700 6.30 = 7700 N/A N/A 9 estimate b 6.05 = 12 6 - 6 3 - 3 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 2200 b 3.28
PT MAC 2800 100 = 60 80 75 estimate a 100 - > 18 - 25 42 - 55 N/A - N/A U1 = good poor poor U1 U2 = U2 = noChange noChange 1500 a 100
ES MED 6500 76.47 - x N/A N/A 1.41 minimum b 22 - 1.15 - 1.15 0.20 - 0.60 0.12 - 0.12 U1 x unk poor poor U1 U1 - U1 - noChange noChange 5100 b 85
FR MED 2000 23.53 = x 1 9 N/A estimate c 78 - x 1 - 9 1 - 9 1 - 9 U1 u good poor poor U2 U2 - U2 - noChange noChange 900 a 15
HU PAN 90 100 = > N/A N/A 0.03 estimate a 100 - >> 0.15 - 0.15 0.15 - 0.15 N/A - N/A U2 - poor bad bad U2 U2 - U2 = genuine genuine 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 ATL 132812.27 1 = > 132821 260.38 310.38 285.38 1 - >> 310.38 27.17 | 45.30 | 36.24 113.01 | 148.11 | 130.56 114.32 | 144.57 | 129.44 1 + poor bad bad 2XA MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 BOR 621035 0EQ = 621035 7578.22 7835.40 7706.81 0EQ = > 7713.81 3292 | 2361.8 | 2826 511.60 | 749.74 | 630.67 3533.48 | 3752 | 3642.74 1 - good poor bad 2XA MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 PAN 90 0MS = > 90 0.03 0MS - >> 0.03 0.15 | 0.15 | 0.15 0.15 | 0.15 | 0.15 0 | 0 | 0 0MS - poor bad bad 0MS MTX - U2 = nc gen U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 CON 122290 2XA = 122290 123.70 173.72 148.70 2XA x > 151.70 46.30 | 94.69 | 70.50 27.93 | 75.42 | 51.67 37.2 | 62.08 | 49.64 2XA - poor poor poor 2XA MTX - U2 - nong nc U2 C

04/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MAC 2800 0MS = ≈ 2800 60 80 75 0MS - > 75 18 | 25 | 21.5 42 | 55 | 48.5 0 | 0 | 0 0MS = good poor poor 0MS MTX = U2 = nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 MED 8500 1 - 8500 2.41 10.41 6.41 1 - ≈ 6.41 2.15 | 10.15 | 6.15 1.2 | 6.6 | 5.40 1.12 | 9.12 | 5.12 0EQ x unk poor poor 2XA MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 ALP 69522 1 + 69522.2 19.92 31.69 25.81 1 - >> 25.81 10.78 | 20.15 | 15.45 5.48 | 111.15 | 58.31 1.49 | 10.69 | 6.09 1 - good bad bad 2GD MTX - U1 - nong 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.