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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, 7230 Alkaline fens, 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 67
N/A N/A 0.01
11 2.25 1.75
N/A N/A 3.38
52 N/A N/A
42.50 12.50 45
0.50 N/A 0.30
26.60 4.10 3.50
1.46 2.54 N/A
3600 350 300
1500 N/A N/A
1.06 0.30 0.11
0.50 0.51 5.57
0.03 0.07 0.01
0.15 0.23 N/A
3.36 11.64 N/A
1.37 0.54 2.23
N/A N/A N/A
31.33 93.98 N/A
0.04 0.07 N/A
5.63 18.70 4.04
226 34 4
676 154 223.50
0.75 8.63 N/A
2.25 20.23 N/A
550 170 N/A
N/A N/A 5
0.09 0.20 N/A
N/A N/A 0.69
0.46 0.03 0.02
28.13 9.92 11.15
10.77 62.23 N/A
12.70 7.10 N/A
0.03 N/A 0.01
1.72 2.49 0
56.30 179.95 13.70
1750 300 300
1.25 1.25 N/A
0.04 0.04 0.02
0.97 0.33 0.51
8.50 8.50 8.50
1.04 N/A 0.12
2.18 0.48 N/A
2 1.60 0.40
N/A 0 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 24700 9.38 = > N/A N/A 67 estimate b 0.95 x > N/A - N/A N/A - N/A 67 - 67 XX x poor poor bad U2 U2 x U2 x noChange noChange 16800 b 11.97
BG ALP 1200 0.46 = 1200 N/A N/A 0.01 minimum b 0 = 0.01 N/A - N/A N/A - N/A 0.01 - 0.01 XX x poor poor poor U1 U1 = U1 = method method 600 b 0.43
DE ALP 4089 1.55 = 13 17 15 estimate b 0.21 - 15.50 9.50 - 12.50 2 - 2.50 1.50 - 2 U1 - good poor poor U1 U1 - U1 = noChange method 5000 b 3.56
ES ALP 5100 1.94 = N/A N/A 3.38 estimate b 0.05 = N/A - N/A N/A - N/A 3.38 - 3.38 XX x unk unk unk XX XX U1 + noInfo noInfo 4200 b 2.99
FI ALP 16900 6.42 = 21 83 N/A estimate b 0.74 = 21 - 83 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 7100 b 5.06
FR ALP 31700 12.04 = 10 100 N/A estimate c 0.78 = 5 - 80 5 - 20 10 - 80 XX x good poor unk U1 U1 = U1 = noChange noChange 24600 b 17.53
HR ALP 4400 1.67 = N/A N/A 0.80 estimate a 0.01 = > 0.50 - 0.50 N/A - N/A 0.30 - 0.30 U1 = good poor poor U1 U1 = N/A N/A noChange noChange 4300 a 3.06
IT ALP 45200 17.17 = > 41.67 55.14 N/A estimate b 0.69 + 26.60 - 26.60 4.10 - 4.10 3.50 - 3.50 U1 + poor good poor U1 U1 = U2 - noChange noChange 21800 b 15.54
PL ALP 9300 3.53 = N/A N/A 4 estimate b 0.06 - > 0.15 - 2.77 1.23 - 3.85 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 5400 b 3.85
RO ALP 12400 4.71 = N/A N/A 5300 interval b 75.14 = 3000 - 4200 100 - 600 100 - 500 U1 = good good poor U1 U1 = U1 N/A knowledge knowledge 4000 a 2.85
SE ALP 92200 35.03 = 92200 N/A N/A 1500 estimate b 21.27 = 1500 1500 - 1500 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 31700 b 22.59
SI ALP 3079 1.17 = N/A N/A 1.47 minimum a 0.02 = >> 1.06 - 1.06 0.30 - 0.30 0.11 - 0.11 U2 - good poor poor U1 U2 - U2 - noChange noChange 1500 b 1.07
SK ALP 12930.91 4.91 - > N/A N/A 6.58 estimate b 0.09 - > 0.50 - 0.50 0.51 - 0.51 5.57 - 5.57 U1 u good poor poor U1 U1 - U1 - N/A N/A 13300 b 9.48
BE ATL 1600 0.71 = > 0.10 0.11 0.10 estimate a 0.05 + >> 0.03 - 0.03 0.07 - 0.07 0.01 - 0.01 U2 x good poor bad U2 U2 = U2 = noChange noChange 1000 a 0.81
DE ATL 4741 2.11 = 0.35 0.41 0.38 estimate b 0.18 = 0.70 0.15 - 0.15 0.23 - 0.23 N/A - N/A U2 - poor bad bad U2 U2 - U2 - noChange noChange 3600 b 2.91
DK ATL 13470 5.98 = N/A N/A 15 estimate b 7.20 = 0.58 - 6.13 8.87 - 14.42 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 7500 b 6.05
ES ATL 6300 2.80 - > N/A N/A 4.14 estimate b 1.99 - 1.06 - 1.69 0.54 - 0.54 1.92 - 2.54 U1 x poor poor unk U1 U1 - U1 = noChange knowledge 5400 b 4.36
FR ATL 17853.13 7.93 u > 30 40 N/A minimum c 16.80 u >> N/A - N/A N/A - N/A N/A - N/A U2 x poor bad poor U2 U2 x U2 = noChange noChange 17600 b 14.21
IE ATL 48800 21.67 = N/A N/A 125.31 estimate b 60.15 - > 31.33 - 31.33 93.98 - 93.98 N/A - N/A U2 u good poor bad U2 U2 - U2 x noChange noInfo 27900 b 22.52
NL ATL 2200 0.98 = >> N/A N/A 0.11 estimate a 0.05 = >> 0.01 - 0.08 0.03 - 0.10 N/A - N/A U2 + bad bad bad U2 U2 + U2 - noChange method 2000 a 1.61
UK ATL 130218.01 57.83 = 130218.01 N/A N/A 28.29 estimate a 13.58 - >> 5.32 - 5.94 16.25 - 21.15 4.04 - 4.04 U2 + poor bad bad U2 U2 = U2 + noChange genuine 58900 a 47.54
EE BOR 48000 7.38 = x N/A N/A 265 estimate a 11.44 - x 226 - 226 34 - 34 4 - 4 U1 - good poor bad U2 U2 - U1 - N/A method 32700 a 14.51
FI BOR 252600 38.81 = > 1000 1600 N/A estimate b 56.11 - > 676 - N/A 154 - N/A 172 - 275 U1 - poor poor poor U1 U1 - U1 - noChange noChange 97900 b 43.45
LT BOR 64787 9.95 = N/A N/A 9.38 estimate a 0.40 - > 0.75 - 0.75 8.63 - 8.63 N/A - N/A U2 - good poor poor U1 U2 - U1 - knowledge knowledge 8600 a 3.82
LV BOR 11038 1.70 = x 21.96 23 N/A estimate b 0.97 x x 2.19 - 2.30 19.76 - 20.70 N/A - N/A U2 - good poor poor U1 U2 x U2 x knowledge knowledge 6400 a 2.84
SE BOR 274400 42.16 = 274400 N/A N/A 720 estimate b 31.08 = 750 550 - 550 170 - 170 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 79700 b 35.38
AT CON 4600 1.83 = >> N/A N/A 5 estimate b 0.15 x >> N/A - N/A N/A - N/A 5 - 5 XX x poor bad bad U2 U2 x U2 x noChange noChange 2700 b 1.73
BE CON 1100 0.44 = 0.25 0.30 0.29 estimate a 0.01 + >> 0.08 - 0.09 0.20 - 0.21 N/A - N/A U2 + good bad bad U2 U2 + U2 - noChange genuine 900 a 0.58
BG CON 1100 0.44 = 1100 N/A N/A 0.69 minimum b 0.02 - 0.69 N/A - N/A N/A - N/A 0.69 - 0.69 XX x poor poor poor U1 U1 x U1 = method method 900 b 0.58
CZ CON 10800 4.30 - N/A N/A 0.51 estimate a 0.01 u 0.46 - 0.46 0.03 - 0.03 0.02 - 0.02 U1 - bad bad bad U2 U2 - U1 - genuine noChange 4400 a 2.82
DE CON 94539 37.68 - > 44.35 54.07 49.21 estimate b 1.44 - > 27.25 - 29.01 9.49 - 10.35 6.11 - 16.19 U1 - poor poor poor U1 U1 - U1 = noChange method 67300 b 43.09
DK CON 29540 11.77 = N/A N/A 73 estimate b 2.13 = 2.66 - 18.88 54.12 - 70.34 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 24300 b 15.56
FR CON 15360 6.12 = 10.75 50 N/A estimate c 0.89 = > 4.50 - 20.90 2.50 - 11.70 N/A - N/A U1 - good poor bad U2 U2 - U2 - noChange noChange 15700 b 10.05
HR CON 1200 0.48 = > N/A N/A 0.04 estimate a 0 = >> 0.03 - 0.03 N/A - N/A 0.01 - 0.01 FV = poor bad good U2 U2 = N/A N/A noChange noChange 1100 a 0.70
IT CON 14500 5.78 = >> 6.47 11.47 N/A estimate b 0.26 - >> 1.72 - 1.72 2.49 - 2.49 0 - 0 U2 = bad bad bad U2 U2 - U2 - noChange noChange 4500 b 2.88
PL CON 49900 19.89 = N/A N/A 250 estimate b 7.31 = 24.70 - 87.90 148.40 - 211.50 13.70 - 13.70 U2 - good poor bad U2 U2 - U1 - genuine noChange 22600 b 14.47
RO CON 5900 2.35 = N/A N/A 3000 interval b 87.70 = 1500 - 2000 100 - 500 100 - 500 U1 = good good poor U1 U1 = U2 N/A knowledge knowledge 1800 a 1.15
SE CON 19900 7.93 = 19900 N/A N/A 2.50 estimate b 0.07 = 3.75 1.25 - 1.25 1.25 - 1.25 N/A - N/A U2 - good poor bad U2 U2 - U2 - noChange noChange 9000 b 5.76
SI CON 2474 0.99 = N/A N/A 0.10 minimum a 0 = >> 0.04 - 0.04 0.04 - 0.04 0.02 - 0.02 U2 - good poor bad U2 U2 - U2 - noChange noChange 1000 b 0.64
ES MED 7900 25 - x N/A N/A 1.81 minimum c 11.26 - 0.97 - 0.97 0.33 - 0.33 0.51 - 0.51 U1 - unk poor poor U1 U1 - U1 + noChange knowledge 5700 b 36.54
FR MED 9200 29.11 = x 2 15 N/A estimate c 52.84 - x 2 - 15 2 - 15 2 - 15 U1 u good poor poor U2 U2 - U2 - noChange noChange 4000 b 25.64
GR MED 203 0.64 = N/A N/A 1.16 minimum b 7.21 = 1.04 - 1.04 N/A - N/A 0.12 - 0.12 FV = good good poor U1 U1 = FV N/A knowledge method 800 b 5.13
IT MED 14300 45.25 - > 2.59 6.64 N/A estimate b 28.69 + 2.18 - 2.18 0.48 - 0.48 N/A - N/A FV + unk good good FV U1 + U1 - noChange noChange 5100 b 32.69
HU PAN 17164 99.06 - 3 5 N/A estimate b 99.86 - > 1.50 - 2.50 1.20 - 2 0.30 - 0.50 U2 - poor poor bad U2 U2 - U2 - noChange noChange 18100 b 98.91
SK PAN 162.45 0.94 - N/A N/A 0.01 estimate b 0.14 - > N/A - N/A 0 - 0 0.01 - 0.01 U1 u good good good FV U2 - U2 = N/A N/A 200 b 1.09
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 263198.91 1 = < 271482 2GD = > - | - | - - | - | - - | - | - 2GD = 2GD MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 225182.14 1 = > 225182.14 203.29 213.36 208.32 1 - >> 208.65 38.49 | 45.34 | 41.91 119.96 | 130.48 | 125.22 5.95 | 6.57 | 6.26 2XA x 2XA MTX - U2 x nc nong U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 650825 1 = < 676080 2016.34 2617.38 2316.86 1 - > - | - | 1116.99 - | - | 309.86 - | - | 227.5 2XA - 2XA MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 250913 2GD - > 250913 2GD - > - | - | - - | - | - - | - | - 2GD - 2GD MTX - U2 - nc nc U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2GD - x 2GD - x - | - | - - | - | - - | - | - 2GD = 2GD MTX - U2 - nc nc U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 17326.45 1 - ≈ 17326.45 3 5 4.01 1 - < 4.41 1.5 | 2.5 | 2 1.2 | 2 | 1.6 0.31 | 0.51 | 0.41 1 - poor poor bad 2XA MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
PL ALP 0.4 1 0.6 2GD - | - | - - | - | - - | - | - N/A U1 = U1 0/2

03/20

Naturalists Club

Institution: Naturalists Club

Member State: PL

Naturalists Club
PL CON 90 150 110 2GD - - | - | - - | - | - - | - | - N/A U2 - U2 0/2

03/20

Naturalists Club

Institution: Naturalists Club

Member State: PL

Naturalists Club
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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.