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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, 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 15
N/A N/A 3.55
2.15 0.60 0.25
N/A N/A 0.01
750 N/A N/A
3 1.50 5.50
N/A 0 N/A
28.59 1.74 0.02
2.10 1.90 N/A
6500 300 350
8900 N/A N/A
1.90 N/A 0.10
0.21 0.16 1.81
0.65 1.80 N/A
29.58 10.30 1.30
4.65 3.02 N/A
9.06 2.23 4.42
N/A N/A N/A
49.50 27.90 N/A
7.60 7.45 N/A
N/A N/A N/A
17.66 14.64 12.28
328 59 3
N/A N/A N/A
39.70 26.50 N/A
64.22 11.35 N/A
14514 3186 N/A
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
7 7 N/A
6.79 22.75 1.46
N/A N/A N/A
0.01 N/A 0
0.90 0.06 0.01
N/A N/A N/A
N/A N/A 0
0.06 0.03 N/A
N/A N/A 0.01
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 16100 7.08 = > N/A N/A 15 estimate b 0.08 - >> N/A - N/A N/A - N/A 15 - 15 XX x poor bad poor U2 U2 x U2 x noChange noChange 13000 b 8
BG ALP 10700 4.71 + 10700 N/A N/A 3.55 minimum b 0.02 = 3.55 N/A - N/A N/A - N/A 3.55 - 3.55 XX x poor poor poor U1 U1 = U1 = method method 5400 b 3.32
DE ALP 3961 1.74 = 2.70 3.30 3 estimate b 0.02 = 2 - 2.30 0.50 - 0.70 0.20 - 0.30 U1 = good good poor U1 U1 = U1 = noChange noChange 3700 b 2.28
ES ALP 200 0.09 x > N/A N/A 0.01 estimate b 0 x > N/A - N/A N/A - N/A 0.01 - 0.01 XX x poor poor unk U1 U1 x U1 = noChange method 600 b 0.37
FI ALP 22200 9.76 = 700 800 N/A estimate b 4.21 = 700 - 800 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 20100 b 12.37
FR ALP 9500 4.18 = 1 10 N/A estimate d 0.03 u > 1 - 5 1 - 2 1 - 10 U1 x good unk unk XX U1 x U2 = noChange noChange 7800 b 4.80
HR ALP 900 0.40 = >> N/A N/A 0 estimate a 0 = >> N/A - N/A 0 - 0 N/A - N/A U2 - bad bad bad U2 U2 - N/A N/A noChange noChange 900 a 0.55
IT ALP 34400 15.13 = 33.91 38.55 N/A estimate b 0.20 + 28.59 - 28.59 1.74 - 1.74 0.02 - 0.02 U1 + good good poor U1 U1 = U2 - knowledge knowledge 17700 b 10.89
PL ALP 5300 2.33 = N/A N/A 4 estimate a 0.02 = 1.28 - 2.92 1.08 - 2.72 N/A - N/A U1 - good good good FV U1 - U1 - noChange noChange 2400 b 1.48
RO ALP 16000 7.04 = N/A N/A 8100 interval b 45.45 = 6000 - 7000 100 - 500 100 - 600 U1 = good good poor U1 U1 = U1 N/A knowledge knowledge 7100 b 4.37
SE ALP 97900 43.06 = 97900 N/A N/A 8900 estimate b 49.94 = 8100 8900 - 8900 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 73200 b 45.05
SI ALP 2717 1.19 = N/A N/A 2 minimum b 0.01 = 1.80 - 2 N/A - N/A N/A - 0.20 FV = good good unk FV FV = FV N/A noChange noChange 2700 c 1.66
SK ALP 7495.45 3.30 = > N/A N/A 2.19 estimate b 0.01 - > 0.21 - 0.21 0.16 - 0.16 1.81 - 1.81 U1 u good poor poor U1 U1 x U1 = N/A N/A 7900 b 4.86
BE ATL 9800 3.59 + 2.74 3.16 2.82 estimate a 1.35 + >> 0.30 - 0.99 1.46 - 2.15 N/A - N/A U2 x good poor bad U2 U2 = U2 = noChange noChange 5500 b 3.63
DE ATL 43535 15.96 = 40.11 42.26 41.18 estimate b 19.77 - > 26.10 - 33.06 7.21 - 13.39 0.91 - 1.70 U2 - poor unk bad U2 U2 - U1 x genuine knowledge 32200 b 21.24
DK ATL 13470 4.94 = N/A N/A 7.67 estimate b 3.68 = 3.42 - 5.88 1.79 - 4.24 N/A - N/A U1 - good good poor U1 U1 - U1 = N/A N/A 5600 b 3.69
ES ATL 19000 6.97 x N/A N/A 15.93 minimum b 7.65 - 8.53 - 9.59 2.18 - 2.29 3.61 - 5.22 XX - unk poor unk XX U1 - FV N/A method knowledge 18000 b 11.87
FR ATL 11818.25 4.33 = > 1.65 5.70 N/A minimum c 1.76 - >> N/A - N/A N/A - N/A N/A - N/A U2 x unk bad poor U2 U2 - U2 = noChange noChange 12100 b 7.98
IE ATL 35100 12.87 = N/A N/A 77.41 estimate b 37.17 = > 49.50 - 49.50 27.90 - 27.90 N/A - N/A U2 u good poor bad U2 U2 = U2 x noChange noInfo 20300 b 13.39
NL ATL 6700 2.46 = > N/A N/A 15 estimate a 7.20 = > 3.50 - 11.70 3.30 - 11.60 N/A - N/A U2 - poor poor bad U2 U2 - U2 = noChange genuine 5900 a 3.89
PT ATL 2200 0.81 = x N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U2 - good poor bad U2 U2 - U2 - noChange noChange 1100 c 0.73
UK ATL 131138.24 48.08 = 131138.24 N/A N/A 44.58 minimum b 21.41 = x 17.49 - 17.84 14.46 - 14.81 9.13 - 15.43 U2 = good unk bad U2 U2 = U2 - noChange genuine 50900 a 33.58
EE BOR 50800 5.55 = N/A N/A 400 estimate a 1.88 + 328 - 328 59 - 59 3 - 3 U1 = good good unk FV U1 + U1 + noChange noChange 40100 a 5.17
FI BOR 355400 38.84 = N/A N/A 3000 estimate c 14.12 = > N/A - N/A N/A - N/A N/A - N/A XX - good poor poor U1 U1 - U1 - noChange noChange 323300 b 41.68
LT BOR 64787 7.08 = 64787 N/A N/A 65 estimate a 0.31 u 39.70 - 39.70 26.50 - 26.50 N/A - N/A U2 - good poor bad U2 U2 x U1 - knowledge knowledge 33800 a 4.36
LV BOR 59994 6.56 = x 66.14 85 N/A estimate b 0.36 = x 56.20 - 72.25 9.94 - 12.75 N/A - N/A U1 x good poor poor U1 U1 = U1 x knowledge knowledge 34100 b 4.40
SE BOR 384000 41.97 = 384000 N/A N/A 17700 estimate b 83.33 = 17700 14514 - 14514 3186 - 3186 N/A - N/A U1 - good good poor U1 U1 - U1 - noChange noChange 344300 b 44.39
AT CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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 CON 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
PT MAC 1800 100 = 8 20 16 estimate a 100 + > 4 - 10 4 - 10 N/A - N/A U1 = good good good FV U1 = U1 - noChange noChange 1200 c 100
ES MED 20300 65.27 - x N/A N/A 30.14 minimum b 95.85 = 6.26 - 7.32 22.40 - 23.09 1.43 - 1.48 U2 - unk poor poor U1 U2 - U1 = knowledge genuine 18100 b 75.73
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
GR MED 0.80 0 = N/A N/A 0.01 minimum b 0.03 = 0.01 - 0.01 N/A - N/A 0 - 0 FV = good good good FV FV = U1 = knowledge noChange 500 a 2.09
IT MED 8000 25.72 - >> 1.23 1.36 N/A estimate b 4.12 = > 0.90 - 0.90 0.06 - 0.06 0.01 - 0.01 U1 u poor poor poor U1 U2 = U1 = noChange noChange 3500 b 14.64
PT MED 2800 9 x N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 1800 c 7.53
CZ PAN 100 5.12 - N/A N/A 0 estimate a 0.05 - > N/A - N/A N/A - N/A 0 - 0 U2 - bad bad bad U2 U2 - U1 - genuine noChange 100 a 4.76
HU PAN 1780 91.09 - > 0.08 0.10 N/A estimate a 87.42 - > 0.06 - 0.07 0.03 - 0.03 N/A - N/A U2 = poor poor bad U2 U2 - U2 = noChange genuine 1900 a 90.48
SK PAN 74.02 3.79 = > N/A N/A 0.01 estimate a 12.53 - > N/A - N/A N/A - N/A 0.01 - 0.01 U1 u good unk unk XX U1 x U1 = N/A N/A 100 b 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 2227373.45 1 = 227373.45 6664.36 9778.6 9721.48 2GD = 9721.48 15634.88 | 16741 | 16187 104.48 | 507.32 | 305.90 121.59 | 630.89 | 376.24 2GD = good good poor 2GD MTX = FV = nong nc FV D

04/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 272761.49 1 = 272761 205.08 211.70 208.26 2XA - > 208.26 108.84 | 128.56 | 118.70 58.30 | 76.38 | 67.34 13.65 | 22.35 | 18.00 2XA - good poor bad 2XA MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 BOR 914981 0EQ = ≈ 914981 21231.14 21250 21240.57 1 = 21240.57 14937.90 | 14953.95 | 14945.925 3281.44 | 3284.25 | 3282.85 3 | 3 | 3 1 - good good poor 2XA MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 CON 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
EU28 MAC 1800 0MS = ≈ 1800 8 20 16 0MS + > 16 4 | 10 | 7 4 | 10 | 7 0 | 0 | 0 0MS = good good good 0MS MTX = U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 MED 31100.8 1 - > 31100.8 31.38 31.51 31.45 2GD = > 31.45 7.17 | 8.23 | 7.70 22.46 | 23.15 | 22.81 1.44 | 1.49 | 1.46 2GD - unk poor poor 2GD MTX - U1 = nong gen U1 C

04/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 PAN 1954.2 0EQ - > 1944.2 .09 0.11 0.10 2XA - > 0.10 0.06 | 0.07 | 0.06 0.03 | 0.03 | 0.03 0.01 | 0.01 | 0.01 2XA = poor poor bad 2XA MTX - U2 = nc gen U2 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.