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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, Rocky habitats, 8310 Caves not open to the public, All bioregions. Show all Rocky habitats
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)
9.90 N/A N/A
N/A N/A 0.06
19.43 0.40 0.47
N/A N/A 104.01
250.50 150.50 300
0.02 0 0
11.09 0.10 0
N/A N/A N/A
11950 N/A 50
0.45 N/A 0.05
N/A 6 199.50
N/A N/A 392.40
0.32 N/A 0.07
N/A N/A N/A
0.36 0.37 32.51
800 500 150
0.01 N/A N/A
N/A N/A N/A
2.02 0.12 N/A
N/A N/A 0.01
N/A N/A 0.20
N/A N/A 0
0.01 N/A N/A
0.27 N/A 0.03
0.10 N/A N/A
N/A N/A N/A
N/A N/A 0.20
0.41 0.05 N/A
46.30 1.01 32.56
400 175 175
0.01 0.01 0
11.37 0.01 1.82
N/A 0 0.01
N/A N/A N/A
12900 N/A 100
0.01 N/A 0
N/A 9 287.50
75 26.50 19.50
0 N/A N/A
0.85 N/A 31.85
11000 1050 2150
0.27 N/A 0.03
0.06 0.01 0.01
89.90 0.90 2.80
32 2 N/A
N/A N/A N/A
5 N/A N/A
0 N/A N/A
136 44 N/A
N/A N/A 34.70
400 150 50
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 52800 26.65 = N/A N/A 9.90 estimate a 0.07 = 9.90 - 9.90 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 36700 a 32.71
BG ALP 23400 11.81 = 23400 N/A N/A 0.06 minimum b 0 = 0.06 N/A - N/A N/A - N/A 0.06 - 0.06 XX x poor poor poor U1 U1 = U1 = method method 7300 b 6.51
DE ALP 3975 2.01 = 3975 21 21 21 estimate b 0.15 = 21 18.90 - 19.95 0.30 - 0.50 0.40 - 0.55 FV = good good good FV FV = FV N/A noChange noChange 4000 b 3.57
ES ALP 5200 2.62 = N/A N/A 104.01 estimate a 0.75 x N/A - N/A N/A - N/A 104.01 - 104.01 XX x poor poor poor U1 U1 x XX N/A method method 3800 b 3.39
FR ALP 10700 5.40 u x 800 800 800 minimum b 5.79 = 1 - 500 1 - 300 100 - 500 U2 u good good poor U1 U2 - FV N/A knowledge knowledge 8600 b 7.66
HR ALP 6800 3.43 = N/A N/A 0.03 minimum b 0 = x 0.02 - 0.02 0 - 0 0 - 0 U1 = good poor poor U1 U1 = N/A N/A N/A 4900 b 4.37
IT ALP 30300 15.29 - 17.80 19.95 N/A estimate b 0.14 - 11.09 - 11.09 0.10 - 0.10 0 - 0 U1 = good good poor U1 U1 = U1 - noChange knowledge 14800 b 13.19
PL ALP 9000 4.54 = N/A N/A 160 estimate b 1.16 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 4300 b 3.83
RO ALP 12100 6.11 = N/A N/A 12100 minimum b 87.60 = 11900 - 12000 N/A - N/A N/A - 100 FV = good good good FV FV = U1 = knowledge knowledge 4200 b 3.74
SE ALP 23600 11.91 = 23600 N/A N/A 0.50 estimate b 0 = 0.50 0.45 - 0.45 N/A - N/A 0.05 - 0.05 FV = good good good FV FV = FV N/A noChange noChange 5600 a 4.99
SI ALP 7656 3.86 = 7656 193 218 N/A estimate c 1.49 x N/A - N/A 6 - 6 187 - 212 U1 x good unk unk XX U1 x FV N/A knowledge knowledge 5200 b 4.63
SK ALP 12623.72 6.37 = N/A N/A 392.40 estimate b 2.84 = N/A - N/A N/A - N/A 392.40 - 392.40 FV = good good good FV FV = XX N/A knowledge knowledge 12800 b 11.41
BE ATL 5100 10.45 = N/A N/A 0.38 estimate a 0.02 = 0.32 - 0.32 N/A - N/A 0.07 - 0.07 FV = good good good FV FV = FV N/A method noChange 2400 a 7.04
DE ATL 861 0 N/A N/ 0 0 0 minimum c 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 19800 40.56 x x N/A N/A 32.88 minimum b 1.62 = x 0.01 - 0.72 0.01 - 0.72 32.15 - 32.87 XX x unk unk unk XX XX XX N/A noChange noChange 17400 b 51.03
FR ATL 6800 13.93 - x 2000 2000 N/A minimum b 98.36 = x 500 - 1100 300 - 700 100 - 200 U1 = poor good poor U1 U1 - U1 x noChange noChange 6100 b 17.89
IE ATL 5000 10.24 = 5000 N/A N/A 0.01 estimate c 0 = 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 3700 b 10.85
PT ATL 100 0.20 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange N/A c 0
UK ATL 12019.06 24.62 = 12019.06 N/A N/A N/A d 0 = 2.02 - N/A 0.12 - N/A N/A - N/A XX = good good unk FV FV = XX N/A knowledge knowledge 4500 c 13.20
BG BLS 5700 100 = 5700 N/A N/A 0.01 minimum b 100 = 0.01 N/A - N/A N/A - N/A 0.01 - 0.01 XX x poor poor poor U1 U1 = U1 = N/A N/A 1900 b 100
EE BOR 8900 5.05 = N/A N/A 0.20 estimate b 39.47 = N/A - N/A N/A - N/A 0.20 - 0.20 FV = good good good FV FV = FV N/A noChange noChange 3500 b 6.63
LT BOR 58.82 0.03 = N/A N/A 0 estimate a 0.02 = x N/A - N/A N/A - N/A 0 - 0 XX u good good unk FV FV = FV N/A knowledge knowledge 100 a 0.19
LV BOR 0.01 0 = N/A N/A 0.01 estimate a 1.30 = 0.01 - 0.01 N/A - N/A N/A - N/A FV = good good poor FV FV = FV N/A knowledge knowledge 1600 a 3.03
SE BOR 167400 94.92 = 167400 N/A N/A 0.30 estimate b 59.21 = 0.30 0.27 - 0.27 N/A - N/A 0.03 - 0.03 FV = good good good FV FV = FV N/A noChange noChange 47600 a 90.15
AT CON 11900 3.71 = N/A N/A 0.10 estimate b 0 = 0.10 - 0.10 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 7100 a 4.40
BE CON 9899 3.08 = N/A N/A 0.44 interval a 0 = N/A - N/A N/A - N/A N/A - N/A XX x good good unk FV FV = FV N/A noChange noChange 6900 a 4.28
BG CON 58500 18.22 = 58500 N/A N/A 0.20 minimum b 0 = 0.20 N/A - N/A N/A - N/A 0.20 - 0.20 XX x poor poor poor U1 U1 = U1 = method method 16800 b 10.41
CZ CON 51400 16.01 = N/A N/A 0.46 estimate a 0 = 0.41 - 0.41 0.05 - 0.05 N/A - N/A U1 = good good good FV U1 = U1 = noChange noChange 23300 b 14.44
DE CON 88816 27.66 = 80.45 80.45 80.45 estimate b 0.55 = 44.02 - 48.58 0.73 - 1.30 32.28 - 32.85 FV = good good good FV FV = FV N/A noChange method 60200 b 37.30
FR CON 9600 2.99 = 1000 1000 N/A minimum b 6.83 = 300 - 500 100 - 250 100 - 250 U1 = unk good poor U1 U1 = FV N/A noChange noChange 7700 b 4.77
HR CON 3600 1.12 = N/A N/A 0.02 minimum b 0 - x 0.01 - 0.01 0.01 - 0.01 0 - 0 U2 = good poor bad U2 U2 - N/A N/A N/A 3000 b 1.86
IT CON 30600 9.53 - 13.20 22.90 N/A estimate b 0.12 - 11.37 - 11.37 0.01 - 0.01 1.82 - 1.82 U1 = good good poor U1 U1 = U1 - noChange knowledge 12000 b 7.43
LU CON 2200 0.69 = N/A N/A 0.01 estimate b 0 = N/A - N/A N/A - 0 0.01 - 0.01 U1 x good good poor U1 U1 = U1 x noChange noChange 800 a 0.50
PL CON 19500 6.07 = N/A N/A 54 estimate b 0.37 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 9300 b 5.76
RO CON 13200 4.11 = N/A N/A 13200 minimum b 90.10 = 12800 - 13000 N/A - N/A N/A - 200 FV = good good good FV FV = U1 = knowledge knowledge 4900 b 3.04
SE CON 11400 3.55 = 11400 N/A N/A 0.01 estimate b 0 = 0.01 0.01 - 0.01 N/A - N/A 0 - 0 FV = good good good FV FV = FV N/A noChange noChange 2200 a 1.36
SI CON 10515 3.27 = 284 309 N/A estimate c 2.02 x N/A - N/A 9 - 9 275 - 300 U1 x good unk unk XX U1 x FV N/A knowledge knowledge 7200 b 4.46
PT MAC 4600 100 = 100 142 118 estimate a 100 - 70 - 80 20 - 33 10 - 29 FV - good good good FV FV = FV N/A noChange noChange 3500 c 100
CY MED 3 0 = N/A N/A 0 estimate a 0 = 0 - 0 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 a 0.22
ES MED 50100 29.91 x x N/A N/A 32.69 minimum b 0.16 x x 0.85 - 0.85 N/A - N/A 31.85 - 31.85 XX x unk unk unk XX XX XX N/A noChange noChange 45900 b 33.16
FR MED 10700 6.39 = 20000 20000 N/A minimum b 99.16 u 8000 - 14000 100 - 2000 300 - 4000 U1 u unk unk poor XX U1 x FV N/A knowledge knowledge 8800 b 6.36
GR MED 0.41 0 = 0.20 0.41 N/A estimate b 0 = 0.18 - 0.37 N/A - N/A 0.02 - 0.04 FV = good unk unk XX FV = FV N/A noChange method 14900 b 10.77
HR MED 144 0.09 = N/A N/A 0.08 minimum b 0 - x 0.05 - 0.06 0.01 - 0.01 0.01 - 0.01 U1 = good poor poor U1 U1 - N/A N/A N/A 12900 b 9.32
IT MED 94700 56.54 - 92.90 103.34 N/A estimate b 0.49 - 89.90 - 89.90 0.90 - 0.90 2.80 - 2.80 U1 = good good poor U1 U1 = U1 - noChange knowledge 47900 b 34.61
MT MED 34 0.02 = N/A N/A 34 estimate a 0.17 = 32 - 32 2 - 2 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1000 a 0.72
PT MED 11800 7.05 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 6500 c 4.70
UK MED 5 0 = 5 5 5 5 estimate b 0.02 = 5 5 - 5 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 200 c 0.14
CZ PAN 2400 13.57 = N/A N/A 0 estimate a 0 = 0 - 0 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 500 b 6.67
HU PAN 13963 78.95 = N/A N/A 180 estimate a 83.84 = 136 - 136 44 - 44 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 5400 a 72
SK PAN 1322.65 7.48 = N/A N/A 34.70 estimate b 16.16 = N/A - N/A N/A - N/A 34.70 - 34.70 FV u good good good FV FV = XX N/A knowledge knowledge 1600 b 21.33
RO STE 800 100 = N/A N/A 800 minimum b 100 = 300 - 500 100 - 200 N/A - 100 FV = good good good FV FV = U1 = knowledge knowledge 400 b 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 198154 1 = ≈ 198154 2GD = - | - | - - | - | - - | - | - 2GD = 2GD MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 48819 2GD x x 2GD = x - | - | - - | - | - - | - | - 2GD x 2GD MTX x U1 x nong nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 5700 0MS = 5700 0.01 0MS = 0.01 - | - | - - | - | - 0.01 | 0.01 | - 0MS x poor poor poor 0MS MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 176358 0EQ = 176358 0.5 0.5 0.5 0EQ = ≈ 0.5 0.28 | 0.28 | 0.28 - | - | - 0.23 | 0.23 | 0.23 0EQ = good good good 0EQ MTX = FV N/A nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 321130 1 = ≈ 321130 2GD = - | - | - - | - | - - | - | - 2GD = 2GD MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 4600 0MS = 4600 100 142 118 0MS - ≈ 118 70 | 80 | 75 20 | 33 | 26.5 10 | 29 | 18.5 0MS - good good good 0MS MTX = FV N/A nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 167486 1 - ≈ 167486 2GD - - | - | - - | - | - - | - | - 2GD = 2GD MTX x U1 N/A nong nong U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 17685 0EQ = ≈ 17685 214 214 214 0EQ = ≈ 214 136 | 136 | 136 44 | 44 | 44 34 | 34 | 34 2GD = good good poor 2GD MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 800 0MS = ≈ 800 800 800 800 0MS = ≈ 800 300 | 500 | - 100 | 200 | - - | - | 100 0MS = good good good 0MS MTX = U1 = nong nc U1 A=

02/20

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.