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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, Forests, 91D0 Bog woodland, All bioregions. Show all Forests
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)
2.69 2.92 N/A
0.04 N/A N/A
5.18 0.57 N/A
170 N/A N/A
1 1 28
0.07 N/A N/A
8.54 0.55 0
7.33 3.67 N/A
N/A N/A 40
6 0.20 1993
9 3 N/A
3.54 2.54 17.91
N/A 0.06 N/A
35.06 57.50 45.52
N/A 8.10 N/A
10 7.80 12.50
2.04 0.09 N/A
N/A N/A 8.10
4.12 0.95 1.50
350 90 30
7880 6055 5065
N/A N/A 500.60
833.62 67.58 N/A
1601 1241 17159
1.91 3.55 0.41
N/A N/A 9
0.01 N/A N/A
93.86 9.43 22.81
114.86 96.67 N/A
N/A 44.84 N/A
N/A N/A 24
0.42 N/A N/A
N/A N/A 0.03
289.65 280.35 N/A
N/A N/A 4.10
63 13 74
61.50 71.50 N/A
0.01 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 23700 14.67 = N/A N/A 5.60 estimate a 0.24 = 2.36 - 3.03 2.58 - 3.25 N/A - N/A U2 u good good bad U2 U2 = U1 x knowledge knowledge 10600 a 11.40
BG ALP 2300 1.42 = 2300 N/A N/A 0.04 estimate a 0 = 0.04 0.04 - 0.04 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 500 a 0.54
DE ALP 3968 2.46 = 3968 5.24 5.60 5.42 estimate c 0.23 = 5.42 5.02 - 5.34 0.40 - 0.75 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4300 b 4.62
FI ALP 21200 13.12 = N/A N/A 170 estimate b 7.24 = 170 - 170 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 17900 b 19.25
FR ALP 3500 2.17 = 30 30 N/A estimate c 1.28 - > 1 - 1 1 - 1 28 - 28 XX - good poor poor U1 U1 - U1 = noChange noChange 2800 b 3.01
HR ALP 100 0.06 u > N/A N/A 0.07 minimum c 0 u < 0.07 - 0.07 N/A - N/A N/A - N/A U1 u poor poor poor U1 U1 x N/A N/A noChange noChange 100 a 0.11
IT ALP 13200 8.17 = > 9.10 11.34 N/A estimate b 0.44 - > 8.54 - 8.54 0.55 - 0.55 0 - 0 U1 - poor poor poor U1 U1 - U1 = noChange knowledge 6000 b 6.45
PL ALP 6800 4.21 = N/A N/A 11 estimate b 0.47 = 3.67 - 11 N/A - 7.33 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 2900 b 3.12
RO ALP 10200 6.31 = N/A N/A 80 estimate a 3.41 = > N/A - N/A N/A - N/A N/A - 80 XX x good good good FV U1 = U1 = N/A N/A 6300 a 6.77
SE ALP 71000 43.95 = 71000 2000 2000 2000 estimate b 85.17 = 2000 6 - 6 0.20 - 0.20 1993 - 1993 XX = good good good FV FV = FV N/A noChange noChange 35600 b 38.28
SI ALP 723 0.45 = N/A N/A 12 estimate b 0.51 = 8 - 10 2 - 4 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 800 b 0.86
SK ALP 4874.30 3.02 = N/A N/A 24 estimate b 1.02 - > 3.54 - 3.54 2.54 - 2.54 17.91 - 17.91 U1 u good poor poor U1 U1 x U1 - N/A N/A 5200 b 5.59
BE ATL 200 0.17 = >> 0.02 0.10 0.02 estimate c 0.01 = >> N/A - N/A 0.02 - 0.10 N/A - N/A U2 x bad bad bad U2 U2 x U2 x noChange noChange 200 a 0.28
DE ATL 45468 38.49 = 137.72 138.43 138.08 estimate a 77.57 - x 35.06 - 35.06 57.50 - 57.50 45.52 - 45.52 U2 x good poor unk U1 U2 - U2 = noChange knowledge 33600 b 47.39
DK ATL 13473 11.41 = N/A N/A 8.10 estimate b 4.55 x N/A - N/A 8.10 - 8.10 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 4700 b 6.63
FR ATL 15300 12.95 = 6 30 15 estimate c 8.43 = 5 - 15 0.60 - 15 10 - 15 U1 = good good good FV U1 = U1 x noChange noChange 13400 b 18.90
IE ATL 9000 7.62 = 9000 2.13 N/A N/A minimum a 1.20 = 2.13 2.04 - 2.04 0.09 - 0.09 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4400 a 6.21
NL ATL 8300 7.03 = N/A N/A 8.10 estimate a 4.55 = > N/A - N/A N/A - N/A 8.10 - 8.10 U2 x poor poor bad U2 U2 = U2 = noChange noChange 6600 a 9.31
UK ATL 26375.32 22.33 = 26375.32 N/A N/A 6.57 estimate b 3.69 = 7.23 4.12 - 4.12 0.95 - 0.95 1.50 - 1.50 U1 + good poor poor U1 U1 + U1 = noChange method 8000 b 11.28
EE BOR 47200 5.18 = 440 500 N/A estimate a 1.15 = 350 - 350 90 - 90 N/A - 60 U1 = good good poor U1 U1 = U1 - noChange noChange 32600 a 4.19
FI BOR 355700 39 = N/A N/A 19000 estimate a 46.49 = > 7880 - N/A 6055 - N/A 5065 - 5065 U1 - good poor poor U1 U1 - U1 - noChange noChange 348700 b 44.85
LT BOR 64787 7.10 = 64787 N/A N/A 500.60 estimate a 1.22 u N/A - N/A N/A - N/A 500.60 - 500.60 U1 u good unk poor U1 U1 x FV N/A knowledge knowledge 50500 a 6.50
LV BOR 64254 7.05 = x 602.40 1200 N/A estimate b 2.20 x x 557.25 - 1110 45.15 - 90 N/A - N/A U1 = good unk poor U1 U1 = U2 - knowledge knowledge 68000 b 8.75
SE BOR 380000 41.67 = 380000 20000 20000 20000 estimate b 48.93 = 20000 1601 - 1601 1241 - 1241 17159 - 17159 U1 = good good poor U1 U1 = FV N/A knowledge noChange 277600 b 35.71
AT CON 4300 1.04 = > 4.80 5.30 N/A estimate a 0.44 + > 1.52 - 2.29 3.21 - 3.89 0.05 - 0.77 U2 - poor good bad U2 U2 = U2 x noChange knowledge 3200 a 1.24
BE CON 7700 1.87 = 7 11 9 estimate b 0.78 + >> N/A - N/A N/A - N/A 7 - 11 U2 u good poor bad U2 U2 + U2 + noChange noChange 5000 a 1.93
BG CON 100 0.02 = 100 N/A N/A 0.01 estimate a 0 = 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 100 a 0.04
CZ CON 31700 7.68 = N/A N/A 126.10 estimate a 10.97 = 93.86 - 93.86 9.43 - 9.43 22.81 - 22.81 U1 = poor poor poor U1 U1 = U1 + noChange noChange 18500 a 7.15
DE CON 98474 23.86 = > 209.82 213.23 211.52 estimate b 18.41 - > 85.86 - 143.86 67.67 - 125.67 N/A - N/A U2 = poor poor poor U2 U2 - U2 = noChange method 72900 b 28.18
DK CON 29544 7.16 = N/A N/A 44.84 estimate b 3.90 x N/A - N/A 44.84 - 44.84 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 11200 b 4.33
FR CON 18700 4.53 = 18 30 N/A estimate c 2.09 = > N/A - N/A N/A - N/A 18 - 30 XX u poor unk poor U1 U1 = U1 = noChange noChange 15600 b 6.03
HR CON 100 0.02 = N/A N/A 0.42 estimate a 0.04 = 0.42 - 0.42 N/A - N/A N/A - N/A U1 = good poor poor U1 U1 = N/A N/A noChange noChange 100 a 0.04
LU CON 1400 0.34 - >> 0.04 0.04 N/A estimate b 0 - >> N/A - N/A N/A - N/A 0.03 - 0.03 U2 - bad bad bad U2 U2 - U2 x noChange method 400 a 0.15
PL CON 202700 49.11 = N/A N/A 570 estimate b 49.60 = 142.50 - 436.80 133.20 - 427.50 N/A - N/A U1 - good good poor U1 U1 - U1 = noChange genuine 125100 b 48.36
RO CON 2000 0.48 + x N/A N/A 8.20 estimate a 0.71 = > N/A - N/A N/A - N/A N/A - 8.20 XX x good good good FV U1 = U2 x N/A method 400 a 0.15
SE CON 16000 3.88 = 16000 150 150 150 estimate b 13.05 = 150 63 - 63 13 - 13 74 - 74 U1 x good good poor U1 U1 = U1 x noChange noChange 6200 b 2.40
PT MAC 3100 100 - > 120 140 132 estimate a 100 - > 55 - 68 68 - 75 N/A - N/A U1 - good poor poor U1 U2 - U1 = noChange genuine 1900 a 100
CZ PAN 100 100 = N/A N/A 0.01 estimate a 100 = 0.01 - 0.01 N/A - N/A N/A - N/A U1 = good good good FV U1 = U1 - noChange noChange 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 ALP 161565.3 1 = < 162895.3 2347.05 2349.65 2348.35 1 = < 2354.75 - | - | 213.41 - | - | 14.45 - | - | 2078.91 2XA = 2XA MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 118116.32 1 = ≈ 118116.32 168.64 193.43 177.99 1 - x 46.21 | 56.21 | 51.21 67.26 | 81.74 | 74.50 65.11 | 70.11 | 67.61 2XA x good poor unk 2XA MTX - U2 = nc nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 911941 0EQ = ≈ 911941 40543 41200.6 40871.8 1 = < 42771.8 3061 | 10388.25 | 6724.62 1421 | 7431.15 | 4426.07 22724.6 | 22784.6 | 22754.6 0EQ - good poor 0EQ MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 412718 1 = ≈ 412718 1139.22 1159.14 1149.18 1 = > 1149 - | - | 563.71 - | - | 447.83 - | - | 134.35 2XA - 2XA MTX - U1 = nc gen U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 3100 0MS - > 3410 120 140 132 0MS - > 55 | 68 | - 68 | 75 | - - | - | - 0MS - good poor poor 0MS MTX - U1 = gen gen U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 100 0MS = ≈ 100 0.01 0MS = ≈ 0.01 0.01 | 0.01 | 0.01 - | - | - - | - | - 0MS = good good good 0MS MTX = U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EE BOR - | - | - - | - | - - | - | - MTX N/A U1 - U1 0/2

03/20

Estonian Fund for Nature

Institution: Estonian Fund for Nature

Member State: EE

Estonian Fund for Nature
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.