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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, 7220 Petrifying springs with tufa formation (Cratoneurion), 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)
0.35 0.03 N/A
N/A N/A 0.56
0.09 0.03 N/A
N/A N/A 0.19
0.03 N/A N/A
N/A N/A 41.40
0 N/A N/A
9.43 1.11 0
0.01 0 N/A
1400 75 50
N/A N/A N/A
0.04 N/A 0
0.02 0.01 0.10
0.02 0.04 0
0 0 0
0.18 0.66 N/A
0.03 0.01 0.54
N/A N/A N/A
0.11 0.04 N/A
N/A N/A N/A
0.23 0.88 0.79
N/A N/A 0
0.50 N/A 1.10
0.15 0.05 N/A
0.14 0.03 N/A
0.33 0.08 N/A
0.22 0.23 0.81
0.03 0.01 N/A
0.06 0.06 0.81
N/A N/A 0.16
0.17 0.01 0.03
1.71 0.37 1.55
1.24 7 N/A
5.96 5.96 5.96
0.01 N/A N/A
1.36 0 0.01
N/A 0.01 N/A
0.01 0.06 0
325 N/A 25
0.02 0.02 0.06
0.04 N/A N/A
5.69 1.17 0.89
4.50 4.50 4.50
N/A N/A N/A
12.71 0 0.07
0.01 0 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 18500 20.09 = > N/A N/A 0.38 estimate a 0.02 = > 0.35 - 0.36 0.02 - 0.03 N/A - N/A FV = poor poor good U1 U1 = U1 = noChange noChange 12000 a 22.22
BG ALP 5400 5.86 u 5400 N/A N/A 0.56 minimum b 0.02 = 0.56 N/A - N/A N/A - N/A 0.56 - 0.56 XX x poor poor poor U1 U1 x U1 = N/A N/A 1600 b 2.96
DE ALP 3983 4.33 = 3983 0.09 0.13 0.11 estimate b 0 = 0.08 - 0.09 0.02 - 0.03 N/A - N/A U1 = good good poor U1 U1 = XX N/A knowledge knowledge 4500 b 8.33
ES ALP 1400 1.52 x x N/A N/A 0.19 estimate b 0.01 = > N/A - N/A N/A - N/A 0.19 - 0.19 XX = unk unk good XX U1 = U1 + noChange noInfo 800 b 1.48
FI ALP 5300 5.76 = N/A N/A 0.04 estimate b 0 = 0.02 - 0.04 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1500 a 2.78
FR ALP 17500 19.01 = N/A N/A 41.40 estimate c 1.84 = x N/A - N/A N/A - N/A 41.40 - 41.40 XX x unk unk unk XX XX = U1 = noChange noChange 11200 b 20.74
HR ALP 500 0.54 u x N/A N/A 0 minimum b 0 u x 0 - 0 N/A - N/A N/A - N/A XX u unk unk unk XX XX N/A N/A noChange noChange 400 b 0.74
IT ALP 27400 29.76 + 9.80 14.46 N/A estimate b 0.54 + 9.43 - 9.43 1.11 - 1.11 0 - 0 U2 = good poor good U1 U2 + U1 - knowledge knowledge 11300 b 20.93
PL ALP 1000 1.09 = N/A N/A 0.01 estimate b 0 = 0.01 - 0.01 0 - 0 N/A - N/A FV = good good good FV FV = U1 - knowledge knowledge 300 b 0.56
RO ALP 3300 3.58 = N/A N/A 2200 interval b 97.56 = 800 - 2000 50 - 100 N/A - 100 FV = good good good FV FV = XX N/A knowledge knowledge 2100 b 3.89
SE ALP N/A 0 x x N/A N/A N/A N/A 0 x x 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 FV N/A N/A N/A N/A b 0
SI ALP 483 0.52 = N/A N/A 0.04 estimate a 0 = > 0.04 - 0.04 N/A - N/A 0 - 0 FV = good good good FV U1 = U1 = noChange noChange 500 a 0.93
SK ALP 7307.02 7.94 = N/A N/A 0.14 estimate b 0.01 - > 0.02 - 0.02 0.01 - 0.01 0.10 - 0.10 U1 u good poor poor U1 U1 x U1 = N/A N/A 7800 b 14.44
BE ATL 6599 6.30 = 0.06 0.06 0.06 estimate a 0.75 = 0.02 - 0.02 0.04 - 0.04 0 - 0 U2 x good good bad U2 U2 = U1 = method noChange 2400 b 4.84
DE ATL 2614 2.50 = 2614 0.01 0.01 0.01 estimate b 0.07 = 0 - 0 0 - 0 0 - 0 U1 = good good poor U1 U1 = U2 - method knowledge 1700 b 3.43
DK ATL 13470 12.87 = N/A N/A 0.84 estimate b 9.79 = 0.02 - 0.35 0.49 - 0.82 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 3100 b 6.25
ES ATL 8300 7.93 = N/A N/A 0.59 estimate b 6.85 = x 0.03 - 0.03 0.01 - 0.01 0.54 - 0.54 XX - unk poor unk XX XX U1 - knowledge knowledge 7200 b 14.52
FR ATL 9933.20 9.49 x x 3 7 N/A estimate d 58.23 x x N/A - N/A N/A - N/A N/A - N/A U1 x poor poor bad U2 U2 x U2 = N/A noChange 7600 b 15.32
IE ATL 18900 18.05 = 0.14 0.15 0.14 interval a 1.68 = 0.10 - 0.12 0.03 - 0.04 N/A - N/A U1 - good good poor U1 U1 - U1 = noChange knowledge 11000 a 22.18
NL ATL 500 0.48 = N/A N/A 0.01 estimate a 0.08 = N/A - N/A N/A - N/A N/A - N/A U1 - good good bad U2 U2 - U1 - knowledge noChange 400 a 0.81
UK ATL 44384.19 42.39 = 44384.19 N/A N/A 1.94 estimate c 22.55 - > 0.11 - 0.36 0.72 - 1.04 0.35 - 1.24 U2 - good poor bad U2 U2 - U2 + noChange genuine 16200 b 32.66
BG BLS 300 100 = 300 N/A N/A 0 minimum b 100 = 0 N/A - N/A N/A - N/A 0 - 0 XX x poor poor poor U1 U1 = U1 = method method 300 b 100
EE BOR 15300 11.32 = N/A N/A 1.60 estimate b 44.14 = > 0.50 - 0.50 N/A - N/A 1.10 - 1.10 U1 = good unk unk XX U1 = U1 x noChange noChange 6000 b 18.58
FI BOR 33400 24.70 = 0.10 0.30 N/A estimate b 5.52 = > 0.15 - 0.15 0.05 - 0.05 N/A - N/A U1 + good poor poor U1 U1 + U1 = noChange method 14200 a 43.96
LT BOR 64787 47.91 = 64787 N/A N/A 0.17 estimate a 4.69 u 0.14 - 0.14 0.03 - 0.03 N/A - N/A FV u good good good FV FV x FV N/A knowledge knowledge 2100 a 6.50
LV BOR 9431 6.97 = x 0.31 0.50 N/A estimate a 11.17 = x 0.25 - 0.40 0.06 - 0.10 N/A - N/A U1 u good poor poor U1 U1 = U1 x knowledge knowledge 4500 a 13.93
SE BOR 12300 9.10 = 12300 N/A N/A 1.25 estimate b 34.48 = 1.30 0.22 - 0.22 0.23 - 0.23 0.81 - 0.81 U1 = good good poor U1 U1 = U1 = noChange noChange 5500 b 17.03
AT CON 5600 3.03 = > N/A N/A 0.04 estimate a 0 = > 0.03 - 0.03 0.01 - 0.01 N/A - N/A U1 = poor poor poor U1 U1 = U1 x noChange knowledge 3700 a 3.32
BE CON 7399 4 = N/A N/A 0.84 estimate b 0.07 = 0.03 - 0.10 0.02 - 0.10 0.79 - 0.82 U1 - good poor poor U1 U1 - FV N/A genuine genuine 4600 b 4.13
BG CON 14600 7.90 u 14600 N/A N/A 0.16 minimum b 0.01 - 0.16 N/A - N/A N/A - N/A 0.16 - 0.16 XX x poor poor poor U1 U1 x U1 = method method 4000 b 3.59
CZ CON 14200 7.68 - N/A N/A 0.21 estimate a 0.02 - 0.17 - 0.17 0.01 - 0.01 0.03 - 0.03 U1 - bad bad bad U2 U2 - U1 - genuine noChange 7400 a 6.64
DE CON 71505 38.67 = 71505 3.02 4.25 3.70 estimate b 0.33 = 1.15 - 2.27 0.28 - 0.46 1.19 - 1.91 FV = good good good FV FV = U1 = knowledge noChange 53100 b 47.67
DK CON 29540 15.98 = N/A N/A 8.23 estimate b 0.73 = 0.26 - 2.21 6.03 - 7.98 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 13800 b 12.39
FR CON 10924 5.91 = 1.92 10 N/A estimate c 0.53 = 1.92 - 10 1.92 - 10 1.92 - 10 FV = good unk good FV U1 = U1 - knowledge N/A 11000 b 9.87
HR CON 2100 1.14 x x N/A N/A 0.01 minimum b 0 x x 0.01 - 0.01 N/A - N/A N/A - N/A XX x unk unk unk XX XX N/A N/A noChange noChange 2000 b 1.80
IT CON 24300 13.14 + 1.93 1407 N/A estimate b 62.69 - >> 1.36 - 1.36 0 - 0 0.01 - 0.01 U1 = good poor poor U1 U2 - U1 - noChange noChange 8400 b 7.54
LU CON 1800 0.97 = 0.01 0.02 N/A estimate b 0 = > N/A - N/A 0.01 - 0.01 N/A - N/A U2 = good poor bad U2 U2 = U2 = noChange noChange 1300 a 1.17
PL CON 1600 0.87 = N/A N/A 0.02 estimate b 0 = 0 - 0.01 0 - 0.12 0 - 0 U1 = good good poor U1 U1 = U1 - noChange knowledge 1300 b 1.17
RO CON 600 0.32 = N/A N/A 400 interval b 35.59 = 300 - 350 N/A - N/A N/A - 50 FV = good good good FV FV = XX N/A knowledge knowledge 200 b 0.18
SE CON 300 0.16 = 300 N/A N/A 0.10 estimate b 0.01 - 0.10 0.02 - 0.02 0.02 - 0.02 0.06 - 0.06 U1 = good good poor U1 U1 - U1 = noChange knowledge 200 b 0.18
SI CON 427 0.23 = N/A N/A 0.04 estimate a 0 = > 0.04 - 0.04 N/A - N/A N/A - N/A FV = good good good FV U1 = U1 = noChange noChange 400 a 0.36
ES MED 36100 43.34 x x N/A N/A 7.74 estimate b 31.18 - x 5.69 - 5.69 1.17 - 1.17 0.89 - 0.89 U1 u unk poor unk XX U1 x U1 + noChange knowledge 34600 b 58.25
FR MED 18200 21.85 - x 2 7 N/A estimate c 18.12 - x 2 - 7 2 - 7 2 - 7 U2 u poor poor poor U2 U2 - U2 - noChange noChange 13000 b 21.89
GR MED N/A 0 x x N/A N/A N/A d 0 x x N/A - N/A N/A - N/A N/A - N/A XX x unk unk unk XX XX XX N/A noChange noChange 900 b 1.52
IT MED 29000 34.81 = 12.06 13.12 N/A estimate b 50.70 = > 12.71 - 12.71 0 - 0 0.07 - 0.07 U1 = good poor poor U1 U1 = U1 - knowledge knowledge 10900 b 18.35
HU PAN 2239 100 = 0.01 0.01 N/A estimate a 100 = > 0 - 0.01 0 - 0 N/A - N/A FV = good poor poor U1 U1 = U1 + noChange knowledge 2200 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 ALP 92073.02 1 + < 93923 2GD = > - | - | - - | - | - - | - | - 2GD = 2GD MTX + U1 - nc nong U1 B1

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 104700.39 1 = ≈ 104700.39 2GD - x - | - | - - | - | - - | - | - 2GD - 2GD MTX - U2 = nc gen U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 300 0MS = ≈ 300 0MS = - | - | - - | - | - - | - | - 0MS 0MS MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 135218 0EQ = 3.43 3.82 3.62 1 = > 3.68 1.26 | 1.41 | 1.33 0.37 | 0.41 | 0.39 - | - | 1.91 1 = 2XA MTX = U1 x nc nong U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 184895 1 = < 185455 2GD = > - | - | - - | - | - - | - | - 2GD - 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2GD x x 2GD - x - | - | - - | - | - - | - | - 2GD x 2GD MTX x U2 - nong nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2239 0MS = ≈ 2239 0.01 0MS = > - | - | 0.01 - | - | 0 - | - | - 0MS = good poor poor 0MS MTX = U1 + nc nong U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
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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.