Article 17 web tool

Log in

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, 9180 Tilio-Acerion forests of slopes, screes and ravines, 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)
223 N/A N/A
54.38 N/A N/A
8.25 0.95 2.30
0.01 N/A 36.38
45.50 50 75
0.75 N/A N/A
85.57 13.78 0.91
6.55 0.85 N/A
N/A N/A 18.35
N/A N/A 4.40
9.52 1.32 259.16
N/A N/A 0.13
N/A N/A N/A
5.68 2.27 6.56
2.50 52.50 55
12.60 29.74 196.42
0.03 N/A N/A
4.80 N/A 0.20
0.11 N/A 0.24
N/A N/A 85.70
55.69 4.84 N/A
7 6 7
15.55 2.95 N/A
N/A N/A 14.70
18.73 N/A N/A
113.66 9.33 53.74
186.86 36.66 N/A
222 9 350
4.80 N/A N/A
17.60 0.35 0.07
1.48 0.01 0.63
9.65 3.35 N/A
N/A N/A 15.75
0.40 0.80 0.20
N/A N/A 8.70
10.40 6.26 14.01
7.50 N/A N/A
104.04 N/A 11.56
90.79 0.09 2.71
1.54 0.30 0.23
31.50 4.50 6
0.71 0.29 8
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 36100 15.81 = N/A N/A 223 estimate a 21.55 - 223 - 223 N/A - N/A N/A - N/A U1 - good poor unk U1 U1 - U1 = noChange genuine 27600 b 20.41
BG ALP 24100 10.55 = 24100 N/A N/A 54.38 estimate a 5.25 = 54.38 54.38 - 54.38 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 9500 a 7.03
DE ALP 3988 1.75 = 3988 12 12 12 estimate c 1.16 = 12 6.50 - 10 0.50 - 1.40 1.60 - 3 FV = good good good FV FV = FV N/A noChange noChange 4400 b 3.25
ES ALP 12500 5.47 x N/A N/A 36.40 estimate b 3.52 x 0.01 - 0.01 N/A - N/A 36.38 - 36.38 XX x unk unk unk XX XX FV N/A noInfo noChange 4300 b 3.18
FR ALP 26700 11.69 = 10 100 N/A estimate d 5.31 u 1 - 90 10 - 90 50 - 100 U1 - good unk unk XX U1 x FV N/A noChange noChange 10900 a 8.06
HR ALP 100 0.04 = N/A N/A 0.75 interval b 0.07 = > 0.75 - 0.75 N/A - N/A N/A - N/A U1 = good poor poor U1 U1 = N/A N/A N/A 100 a 0.07
IT ALP 45500 19.93 = > 318.40 351.35 N/A estimate b 32.36 + > 85.57 - 85.57 13.78 - 13.78 0.91 - 0.91 U1 = poor poor poor U1 U1 = U2 - knowledge knowledge 27700 b 20.49
PL ALP 12900 5.65 = 7.10 7.77 7.43 estimate b 0.72 = 6.10 - 7 0.40 - 1.30 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 5600 b 4.14
RO ALP 37100 16.25 = N/A N/A 36.70 estimate b 3.55 = N/A - N/A N/A - N/A N/A - 36.70 XX x good good unk FV FV = FV N/A N/A N/A 14900 a 11.02
SI ALP 2197 0.96 = N/A N/A 4.40 estimate c 0.43 - N/A - N/A N/A - N/A 4.40 - 4.40 U1 = good poor poor U1 U1 - U1 - noChange noChange 2500 b 1.85
SK ALP 27148.01 11.89 = N/A N/A 270 estimate b 26.09 + 9.52 - 9.52 1.32 - 1.32 259.16 - 259.16 FV u good good good FV FV = U1 = knowledge N/A 27700 b 20.49
BE ATL 2400 0.88 = 0.10 0.16 0.13 estimate b 0.04 = N/A - N/A N/A - N/A 0.10 - 0.16 U2 x good good bad U2 U2 x U1 x method noChange 800 a 0.54
DE ATL 2850 0 N/A N/ 0.03 0.03 0.03 estimate 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
ES ATL 24600 9.02 = N/A N/A 14.29 estimate b 4.64 = 5.46 - 5.90 1.83 - 2.71 6.12 - 7 U1 x unk poor unk XX U1 = N/A N/A knowledge knowledge 10500 b 7.09
FR ATL 74400 27.27 = 10 100 N/A estimate d 17.85 x > N/A - 5 5 - 100 10 - 100 U2 x good poor bad U2 U2 x U2 x noChange noChange 29000 a 19.57
UK ATL 171436.64 62.83 = 171436.64 N/A N/A 238.76 estimate b 77.47 = 262.64 12.60 - 12.60 29.74 - 29.74 196.42 - 196.42 U2 = good poor bad U2 U2 = U2 - noChange genuine 107900 a 72.81
BG BLS 2300 100 u 2300 N/A N/A 0.03 estimate a 100 u 0.03 0.03 - 0.03 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 x U1 = noChange method 900 a 100
EE BOR 4900 2.06 = N/A N/A 5 estimate a 2.91 = 4.80 - 4.80 N/A - N/A 0.20 - 0.20 FV = good good good FV FV = FV N/A noChange noChange 3300 a 2.68
FI BOR 9800 4.11 = N/A N/A 0.30 estimate b 0.17 = > 0.11 - N/A N/A - N/A 0.19 - 0.30 U1 = good poor poor U1 U1 = U1 = noChange noChange 3400 b 2.76
LT BOR 64787 27.20 = 64787 N/A N/A 85.71 estimate a 49.97 = N/A - N/A N/A - N/A 85.70 - 85.70 XX u good good unk FV FV = FV N/A knowledge knowledge 30800 a 25.02
LV BOR 61679 25.90 = x 56.05 65 N/A estimate b 35.28 x x 51.57 - 59.80 4.48 - 5.20 N/A - N/A U1 x good good poor U1 U1 x U2 x knowledge knowledge 47000 b 38.18
SE BOR 97000 40.73 = 97000 20 20 20 estimate b 11.66 x 30 7 - 7 6 - 6 7 - 7 U2 x good bad bad U2 U2 x U2 x noChange noChange 38600 b 31.36
AT CON 18100 3.27 = 18 36 N/A interval a 2.92 - > 14.70 - 16.40 2.80 - 3.10 N/A - N/A U1 x good poor poor U1 U1 x U1 = noChange noInfo 12400 b 3.88
BE CON 12900 2.33 = 12.60 16.80 14.70 interval a 1.59 = > N/A - N/A N/A - N/A 12.60 - 16.80 U2 = good poor bad U2 U2 = U1 x method knowledge 9000 a 2.82
BG CON 47600 8.60 = 47600 N/A N/A 18.73 estimate a 2.03 = 18.73 18.73 - 18.73 N/A - N/A N/A - N/A FV u poor poor poor U1 U1 = U1 = noChange noChange 17900 a 5.60
CZ CON 79000 14.27 = N/A N/A 176.72 estimate a 19.11 = 113.66 - 113.66 9.33 - 9.33 53.74 - 53.74 U1 = good good good FV U1 = U1 = noChange noChange 58800 a 18.40
DE CON 172843 31.22 = 222.15 224.89 223.52 estimate b 24.16 = 130.80 - 242.92 25.66 - 47.65 N/A - N/A FV + good good good FV FV + FV N/A noChange genuine 135700 b 42.47
FR CON 106300 19.20 = 250 450 350 estimate c 37.84 = 3 - 441 9 - 9 250 - 450 FV = unk unk unk XX FV = U1 = noChange noChange 35100 a 10.99
HR CON 1000 0.18 = N/A N/A 4.78 estimate b 0.52 = x 4.80 - 4.80 N/A - N/A N/A - N/A U2 = good poor bad U2 U2 - N/A N/A noChange noChange 1000 a 0.31
IT CON 32100 5.80 = 52.02 54.21 N/A estimate b 5.74 = > 17.60 - 17.60 0.35 - 0.35 0.07 - 0.07 U1 u unk unk unk XX U1 = U1 - noChange noChange 11300 b 3.54
LU CON 2600 0.47 = 1.49 2.12 N/A estimate b 0.20 = > 1.47 - 1.48 N/A - 0.01 0.63 - 0.63 FV = good poor good U1 U1 = U1 + noChange method 1400 a 0.44
PL CON 21000 3.79 = N/A N/A 13 estimate b 1.41 = 7 - 12.30 0.70 - 6 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 10100 b 3.16
RO CON 38000 6.86 = N/A N/A 31.50 estimate b 3.41 = N/A - N/A N/A - N/A N/A - 31.50 XX x good good unk FV FV = FV N/A N/A N/A 13800 a 4.32
SE CON 19000 3.43 = 19000 1.40 1.40 1.40 estimate b 0.15 x 20 0.40 - 0.40 0.80 - 0.80 0.20 - 0.20 U2 x good bad bad U2 U2 x U2 x noChange noChange 9700 b 3.04
SI CON 3215 0.58 = N/A N/A 8.70 estimate c 0.94 - N/A - N/A N/A - N/A 8.70 - 8.70 U1 - good poor poor U1 U1 - U1 - noChange noChange 3300 b 1.03
ES MED 38100 39.74 = N/A N/A 30.71 estimate b 10.73 = 10.40 - 10.40 6.04 - 6.48 13.76 - 14.26 U1 = good good poor U1 U1 = XX N/A knowledge noChange 14800 b 30.90
FR MED 23800 24.83 = x 6 9 N/A estimate c 2.62 - x 6 - 9 N/A - N/A N/A - N/A FV u good poor good U1 U2 - U1 x method knowledge 8000 a 16.70
GR MED 569 0.59 = N/A N/A 115.60 estimate b 40.40 = 104.04 - 104.04 N/A - N/A 11.56 - 11.56 FV = good good good FV FV = FV N/A noChange noChange 12700 b 26.51
IT MED 33400 34.84 = > 37.59 227.09 N/A estimate b 46.25 u > 90.79 - 90.79 0.09 - 0.09 2.71 - 2.71 FV u unk unk unk XX U1 x U1 - noChange noChange 12400 b 25.89
CZ PAN 3200 20.44 = N/A N/A 2.08 estimate a 3.91 = 1.54 - 1.54 0.30 - 0.30 0.23 - 0.23 U1 = good good good FV U1 = U2 + knowledge method 600 a 4.48
HU PAN 10372 66.27 = 39 45 N/A estimate b 79.13 = 29 - 34 4 - 5 6 - 6 U1 = good good poor U1 U1 = U1 = noChange noChange 10500 b 78.36
SK PAN 2080.04 13.29 = N/A N/A 9 estimate b 16.96 = 0.71 - 0.71 0.29 - 0.29 8 - 8 FV u good good good FV FV = U1 = knowledge N/A 2300 b 17.16
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 228333.01 1 = ≈ 228333.01 973.12 1096.74 1034.93 1 + < 1068.50 - | - | - - | - | - - | - | - 2XA - 2XA MTX - U2 = nong nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 275686.64 0EQ = ≈ 275686.64 263.18 353.24 308.21 1 = < 337.59 - | - | - - | - | - - | - | - 2XA = 2XA MTX = U2 - nc gen U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 2300 0MS x 2300 0.03 0MS x 0.03 0.03 | 0.03 | 0.03 - | - | - - | - | - 0MS = poor poor poor 0MS MTX x U1 = nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 238166 0EQ = ≈ 238166 167.06 176.01 171.54 1 x < 181.57 63.48 | 71.60 | 67.54 10.48 | 11.20 | 10.84 93.09 | 93.20 | 93.15 1 x 2XA MTX x U2 x nong nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 553658 1 = ≈ 553658 811.09 1038.85 924.97 1 = < 953.71 - | - | - - | - | - - | - | - 2XA + 2XA MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 95869 1 = < 99209 189.90 382.40 286.15 2GD - > 286.15 - | - | - - | - | - - | - | - 2GD x 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 15652.04 0EQ = ≈ 15652.04 50.08 56.08 53.08 0EQ = ≈ 53.08 31.26 | 36.26 | 33.76 4.59 | 5.59 | 5.09 14.23 | 14.23 | 14.23 1 = good good 2XA MTX = U1 = nc nc U1 D

01/20

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.