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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, 7120 Degraded raised bogs still capable of natural regeneration, 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)
8.24 5.16 N/A
0.62 0.12 0.15
N/A 5.50 5.50
0.01 N/A N/A
1.10 1.50 N/A
100 100 50
0.30 0.02 0.28
104.10 114.51 N/A
0.83 26.16 N/A
17.50 17.50 17.50
N/A 25 N/A
20 32 N/A
0.44 152.05 176.34
N/A N/A 218
N/A N/A N/A
N/A N/A 67.12
13.54 121.92 N/A
N/A 7 N/A
1.52 1.40 N/A
N/A N/A 26
7.12 1.78 0.19
39.91 30.70 2.04
1.08 32.78 N/A
N/A 24.20 N/A
12.45 22.55 N/A
N/A 3 N/A
61.50 65 N/A
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 9500 45.59 = N/A N/A 13.40 estimate b 3.17 u 7.77 - 8.71 4.69 - 5.63 N/A - N/A U2 - bad bad bad U2 U2 x XX N/A knowledge noChange 5200 a 37.14
DE ALP 2199 10.55 = 0.80 1 0.90 estimate b 0.21 = 0.60 - 0.65 0.10 - 0.15 0.10 - 0.20 U1 = good good poor U1 U1 = U1 = noChange noChange 1800 a 12.86
FR ALP 5100 24.47 = x 1 10 N/A estimate d 1.30 x x N/A - N/A 1 - 10 1 - 10 U1 x poor poor poor U1 U1 x U1 = noChange noChange 3700 b 26.43
IT ALP 200 0.96 - >> N/A N/A 0.01 estimate b 0 = > 0.01 - 0.01 N/A - N/A N/A - N/A FV + bad poor unk U2 U2 + XX N/A knowledge knowledge 200 b 1.43
PL ALP 1800 8.64 = 2 3 2.60 estimate a 0.61 + < 0.40 - 1.80 0.80 - 2.20 N/A - N/A U1 = good poor poor U1 U1 + U1 = noChange knowledge 900 b 6.43
RO ALP 600 2.88 = > N/A N/A 400 interval b 94.56 = > 100 - 100 N/A - 200 N/A - 100 U1 = poor poor poor U1 U1 = U2 N/A knowledge knowledge 400 b 2.86
SK ALP 1440.84 6.91 = N/A N/A 0.60 estimate b 0.14 = 0.30 - 0.30 0.02 - 0.02 0.28 - 0.28 U1 u good poor poor U1 U1 = U1 = N/A N/A 1800 b 12.86
DE ATL 31372 22.05 = 215.79 221.44 218.61 estimate b 31.85 x > 72.87 - 135.33 83.28 - 145.74 N/A - N/A U2 x good poor bad U2 U2 x U2 = noChange method 21600 a 26.12
DK ATL 9940 6.99 = N/A N/A 26.99 estimate b 3.93 = < N/A - 1.67 25.32 - 26.99 N/A - N/A U2 x good good bad U2 U2 x U2 = N/A N/A 1800 b 2.18
FR ATL 11000 7.73 = x 10 50 N/A estimate c 4.37 = 10 - 25 10 - 25 10 - 25 U1 x poor poor bad U2 U2 = U2 - noChange noChange 10800 b 13.06
IE ATL 21700 15.25 = 25 N/A N/A estimate a 3.64 - N/A - N/A 25 - 25 N/A - N/A U2 - poor bad bad U2 U2 - U2 - noChange noChange 15500 a 18.74
NL ATL 4000 2.81 = N/A N/A 52 estimate a 7.58 = < 10 - 30 22 - 42 N/A - N/A U2 - good good bad U2 U2 - U2 x noChange genuine 2800 a 3.39
UK ATL 64262.48 45.17 = < N/A N/A 333.83 estimate b 48.63 = < 0.44 - 0.44 152.05 - 152.05 176.34 - 176.34 U2 + bad poor bad U2 U2 + U2 + noChange noChange 30200 a 36.52
EE BOR 43000 26.61 x x 171 265 N/A estimate c 49.48 + < N/A - N/A N/A - N/A 171 - 265 XX x good good unk FV FV x U1 + noInfo noInfo 26800 c 40.48
FI BOR 1400 0.87 - N/A N/A 13 N/A 2.95 - < N/A - N/A N/A - N/A N/A - N/A XX N/A N/A N/A N/A XX XX XX N/A noChange noChange 1000 d 1.51
LT BOR 64787 40.10 = x N/A N/A 67.12 estimate a 15.23 u x N/A - N/A N/A - N/A 67.12 - 67.12 U1 u good poor poor U1 U1 x U2 - knowledge knowledge 15700 a 23.72
LV BOR 44588 27.60 x x 117.80 153.14 N/A estimate b 30.75 x x 11.78 - 15.31 106.02 - 137.83 N/A - N/A U2 x poor poor poor U1 U2 x U2 x knowledge knowledge 21300 b 32.18
SE BOR 7800 4.83 = N/A N/A 7 estimate b 1.59 = N/A - N/A 7 - 7 N/A - N/A U2 - poor good poor U2 U2 - U2 - noChange noChange 1400 a 2.11
AT CON 1900 1.40 = N/A N/A 2.90 estimate a 1.40 u 1.23 - 1.81 1.11 - 1.69 N/A - N/A U2 - bad bad bad U2 U2 x XX N/A knowledge noChange 1300 a 1.82
BE CON 4200 3.09 = 23.20 26 25.75 estimate b 12.47 = N/A - N/A N/A - N/A 26 - 26 U2 + good good bad U2 U2 + U2 + noChange noChange 2900 b 4.06
CZ CON 6900 5.08 = N/A N/A 9.09 estimate a 4.40 = 7.12 - 7.12 1.78 - 1.78 0.19 - 0.19 U2 - good poor poor U2 U2 - U2 + noChange genuine 4400 a 6.15
DE CON 27562 20.31 = 27562 63.33 82.13 72.66 estimate b 35.19 = > 30.09 - 49.74 21.49 - 39.91 1.43 - 2.66 U2 = good poor unk U1 U2 = U2 = noChange noChange 21500 a 30.07
DK CON 19450 14.33 = N/A N/A 33.86 estimate b 16.40 = < N/A - 2.16 31.70 - 33.86 N/A - N/A U2 x good good bad U2 U2 x U2 = N/A N/A 3800 b 5.31
FR CON 12500 9.21 - 22.40 26 N/A estimate c 11.72 u < N/A - N/A 22.40 - 26 N/A - N/A U2 + unk unk good FV U2 x U2 = noChange noChange 11300 b 15.80
PL CON 60500 44.58 = 25 45 35 minimum c 16.95 x < 3.90 - 21 14 - 31.10 N/A - N/A U2 = good poor poor U1 U2 = U1 = genuine genuine 25600 b 35.80
SE CON 2700 1.99 = N/A N/A 3 estimate b 1.45 = N/A - N/A 3 - 3 N/A - N/A U2 - poor good poor U2 U2 - U2 - noChange noChange 700 a 0.98
PT MAC 2800 100 = 115 140 139 estimate a 100 + 55 - 68 58 - 72 N/A - N/A FV - good good good FV FV = FV N/A noChange noChange 1600 a 100
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
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 20839.84 2GD = >> 20839.84 17.81 28.01 23.01 2GD x 4.11 9.08 | 11.47 | 10.27 6.61 | 18.00 | 12.30 1.39 | 10.49 | 5.49 2GD - bad bad bad 2GD MTX x XX x nong nc XX D

03/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 ATL 142274 1 = ≈ 142274 663.61 709.26 686.43 1 = 661.43 93.31 | 192.44 | 142.88 317.65 | 416.78 | 367.21 186.34 | 201.31 | 193.84 1 + bad bad bad 0EQ MTX = U2 = nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 BOR 161575 2XA x 161575 375.92 505.26 440.59 2XA + 433.59 11.78 | 15.31 | 13.54 113.02 | 144.83 | 128.93 238.12 | 332.12 | 285.12 2XA x poor poor unk 2XA MTX x U2 + nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 CON 135712 2XA = ≈ 135712 182.79 227.99 206.47 2XA = 200.57 42.34 | 81.83 | 62.09 95.48 | 137.34 | 116.41 27.62 | 28.85 | 28.24 0EQ = good poor bad 2XA MTX = U2 = nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 MAC 2800 0MS = ≈ 2800 115 140 139 0MS + ≈ 139 55 | 58 | 61.5 58 | 72 | 65 0 | 0 | 0 0MS - good good good 0MS MTX = FV N/A nc nong FV A=

04/20

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.