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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, 8220 Siliceous rocky slopes with chasmophytic vegetation, 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)
70 N/A N/A
N/A N/A 79.68
0.30 N/A N/A
N/A N/A 183.31
180 10 N/A
101.20 101.20 202.40
N/A N/A 1323.72
0.03 0.01 N/A
4250 200 250
1810 N/A 200
13 N/A N/A
0.78 0.03 35.49
N/A N/A 0.02
0.02 0 N/A
21.86 N/A 90.72
16.50 13.50 1.50
14.35 1.07 N/A
N/A N/A N/A
71.98 15.93 312.38
N/A N/A 0.81
N/A N/A 0.40
1170 100 N/A
N/A N/A 0.03
0.15 N/A N/A
83 N/A 9
N/A N/A 10
0.42 0.35 N/A
N/A N/A 9.07
50.54 2.07 13.04
24.12 6.03 N/A
N/A N/A 1.20
N/A N/A 85.50
N/A N/A 0.50
N/A N/A 15.54
3.13 0.34 N/A
1.60 0.95 N/A
1900 100 100
1.08 N/A 0.12
0.03 N/A N/A
15.53 0.38 3.34
1.80 8.40 N/A
0.33 N/A N/A
163.73 30.01 536.01
N/A N/A 35.50
39.09 N/A 4.34
N/A N/A 43.30
N/A N/A N/A
0.07 0 0.11
0.30 N/A N/A
0.01 0 0.13
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 14300 5.84 = N/A N/A 70 estimate b 0.75 = 70 - 70 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 12100 b 7.93
BG ALP 19100 7.80 = 19100 N/A N/A 79.68 minimum b 0.86 = 79.68 N/A - N/A N/A - N/A 79.68 - 79.68 XX x poor poor poor U1 U1 = U1 = N/A N/A 6700 b 4.39
DE ALP 671 0.27 = 671 0.30 0.30 0.30 estimate a 0 = 0.30 0.30 - 0.30 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 700 b 0.46
ES ALP 11800 4.82 = N/A N/A 183.31 estimate b 1.97 = N/A - N/A N/A - N/A 183.31 - 183.31 XX x good good good FV FV = XX N/A method knowledge 5900 b 3.87
FI ALP 22200 9.06 = N/A N/A 190 estimate b 2.04 = 175 - 185 5 - 15 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 19400 b 12.71
FR ALP 22700 9.27 = N/A N/A 202.40 estimate c 2.17 = N/A - 202.40 N/A - 202.40 202.40 - 202.40 XX = good good good FV FV = FV N/A noChange noChange 17200 b 11.27
IT ALP 46700 19.06 + 1266.44 1381 N/A estimate b 14.22 + N/A - N/A N/A - N/A 1266.44 - 1381 XX + good good good FV FV + FV N/A noChange noChange 31200 b 20.45
PL ALP 2400 0.98 = N/A N/A 0.04 estimate b 0 = 0.03 - 0.04 N/A - 0.01 N/A - N/A FV = good poor poor U1 U1 = U1 x noChange knowledge 1000 b 0.66
RO ALP 12200 4.98 = N/A N/A 5200 interval b 55.86 = 4000 - 4500 100 - 300 100 - 400 FV = good good good FV FV = FV N/A noChange noChange 4400 a 2.88
SE ALP 84600 34.53 = 84600 N/A N/A 2010 estimate c 21.59 = 2010 1810 - 1810 N/A - N/A 200 - 200 FV = good good good FV FV = FV N/A noChange noChange 45000 c 29.49
SI ALP 1524 0.62 = N/A N/A 13 minimum b 0.14 = 13 - 13 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1700 c 1.11
SK ALP 6798.18 2.77 = N/A N/A 36.30 estimate b 0.39 = 0.78 - 0.78 0.03 - 0.03 35.49 - 35.49 FV u good good good FV FV = FV N/A N/A N/A 7300 b 4.78
BE ATL 1800 1.35 = 0.01 0.03 0.01 estimate b 0 = >> N/A - N/A N/A - N/A 0.01 - 0.03 U2 x good bad bad U2 U2 x U2 x noChange noChange 300 a 0.35
DE ATL 659 0.49 = 659 0.02 0.02 0.02 minimum b 0 = 0.02 0.01 - 0.02 0 - 0.01 N/A - N/A U1 x good good poor U1 U1 = N/A N/A noChange noChange 500 b 0.58
ES ATL 53400 39.95 = N/A N/A 112.59 estimate b 20.83 = x 20.25 - 23.48 N/A - N/A 89.10 - 92.34 XX x good poor unk U1 U1 = XX N/A knowledge knowledge 38300 b 44.33
FR ATL 23600 17.66 = N/A N/A 12 minimum c 2.22 = 11 - 22 9 - 18 1 - 2 FV x good good unk FV FV = U1 = noInfo N/A 19200 b 22.22
IE ATL 18100 13.54 = 18100 N/A N/A 15.42 minimum b 2.85 = 13.27 - 15.42 N/A - 2.15 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 12900 b 14.93
PT ATL 1500 1.12 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange knowledge 800 c 0.93
UK ATL 34602.64 25.89 = 34602.64 N/A N/A 400.50 estimate b 74.09 = 400.50 71.98 - 71.98 15.93 - 15.93 287.38 - 337.38 U1 = good good poor U1 U1 = U1 + noChange genuine 14400 a 16.67
BG BLS 3700 100 + 3700 N/A N/A 0.81 minimum b 100 = 0.81 N/A - N/A N/A - N/A 0.81 - 0.81 XX x poor poor poor U1 U1 = FV N/A method method 1200 b 100
EE BOR 4100 0.73 = N/A N/A 0.40 estimate b 0.03 = N/A - N/A N/A - N/A 0.40 - 0.40 FV = good good good FV FV = FV N/A noChange noChange 2000 b 0.53
FI BOR 359600 64.42 = N/A N/A 1270 estimate b 93.21 = 1140 - 1200 70 - 130 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 342700 b 90.47
LT BOR 64787 11.61 = 64787 N/A N/A 0.03 estimate a 0 u N/A - N/A N/A - N/A 0.03 - 0.03 U1 u good poor poor U1 U1 x U1 = knowledge knowledge 1800 a 0.48
LV BOR 5103 0.91 = x N/A N/A 0.15 estimate b 0.01 = x 0.15 - 0.15 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A knowledge knowledge 5300 a 1.40
SE BOR 124600 22.32 = 124600 N/A N/A 92 estimate c 6.75 = 92 83 - 83 N/A - N/A 9 - 9 FV = good good good FV FV = FV N/A noChange noChange 27000 c 7.13
AT CON 2200 0.81 = N/A N/A 10 estimate b 0.38 x > N/A - N/A N/A - N/A 10 - 10 XX x good unk unk XX U1 x U1 x noChange noChange 1700 b 0.89
BE CON 10600 3.89 = 0.55 0.90 0.72 estimate b 0.03 = 0.22 - 0.63 0.17 - 0.54 N/A - N/A U2 x good good bad U2 U2 x U2 = noChange noInfo 5600 a 2.93
BG CON 20200 7.42 = 20200 N/A N/A 9.07 minimum b 0.35 x 9.07 N/A - N/A N/A - N/A 9.07 - 9.07 XX x poor poor poor U1 U1 x U1 = N/A N/A 5200 b 2.72
CZ CON 81200 29.83 = N/A N/A 65.65 estimate a 2.50 u 50.54 - 50.54 2.07 - 2.07 13.04 - 13.04 FV = good good good FV FV = U1 = knowledge knowledge 63900 a 33.42
DE CON 97419 35.79 = 26.52 32.58 30.15 estimate b 1.15 = 22.31 - 25.93 4.22 - 7.84 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 75000 b 39.23
DK CON 24 0.01 = N/A N/A 1.20 estimate b 0.05 x N/A - N/A N/A - N/A 1.20 - 1.20 XX x good good unk FV FV x XX N/A N/A N/A 700 b 0.37
FR CON 15000 5.51 - x 21 150 N/A estimate c 3.26 - x N/A - N/A N/A - N/A 21 - 150 XX - unk poor poor U1 U1 - FV N/A knowledge knowledge 17500 b 9.15
HR CON 200 0.07 x x N/A N/A 0.50 minimum c 0.02 x x N/A - N/A N/A - N/A 0.50 - 0.50 XX x unk unk unk XX XX N/A N/A noChange noChange 200 b 0.10
IT CON 18200 6.69 + 12.60 18.47 N/A estimate b 0.59 - N/A - N/A N/A - N/A 12.60 - 18.47 XX = good good good FV U1 = FV N/A noChange noChange 6900 b 3.61
LU CON 3800 1.40 = 2.81 4.16 N/A estimate b 0.13 = 2.52 - 3.74 0.27 - 0.40 N/A - N/A FV u good good good FV FV = FV N/A noChange knowledge 2900 a 1.52
PL CON 10800 3.97 = N/A N/A 2.50 estimate b 0.10 = 1.10 - 2.10 0.50 - 1.40 N/A - N/A U1 = good good poor U1 U1 = U1 - noChange knowledge 7000 b 3.66
RO CON 6000 2.20 = N/A N/A 2400 interval b 91.41 = 1800 - 2000 N/A - 200 N/A - 200 FV = good good good FV FV = FV N/A noChange noChange 1400 a 0.73
SE CON 6300 2.31 = 6300 N/A N/A 1.20 estimate c 0.05 = 1.20 1.08 - 1.08 N/A - N/A 0.12 - 0.12 FV = good good good FV FV = FV N/A noChange noChange 2900 c 1.52
SI CON 285 0.10 = N/A N/A 0.03 minimum b 0 = 0.03 - 0.03 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 c 0.16
ES MAC 969 22.18 = N/A N/A 19.25 estimate a 63.55 = 15.53 - 15.53 0.38 - 0.38 3.34 - 3.34 U1 = good good poor U1 U1 = U2 x method method 5300 b 68.83
PT MAC 3400 77.82 = 9 12 11.04 estimate a 36.45 = 1.20 - 2.40 7.20 - 9.60 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange noChange 2400 c 31.17
CY MED 77 0.03 = N/A N/A 0.33 estimate b 0.04 = 0.33 - 0.33 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1700 c 0.96
ES MED 194600 67.42 x x N/A N/A 729.31 estimate b 85.61 u x 163.30 - 164.16 29.57 - 30.44 535.58 - 536.44 U1 u unk unk unk XX U1 x XX N/A knowledge noChange 110600 b 62.59
FR MED 21000 7.28 - x 21 50 N/A estimate d 4.17 - x N/A - N/A N/A - N/A 21 - 50 XX - poor poor poor U1 U1 - FV N/A noInfo noChange 20400 b 11.54
GR MED 43.43 0.02 = N/A N/A 43.43 estimate b 5.10 = 39.09 - 39.09 N/A - N/A 4.34 - 4.34 FV = good good good FV FV = FV N/A noChange noChange 4000 b 2.26
IT MED 27700 9.60 + 25.90 60.70 N/A estimate b 5.08 - N/A - N/A N/A - N/A 25.90 - 60.70 XX = good good good FV U1 = FV N/A knowledge knowledge 14100 b 7.98
PT MED 45200 15.66 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange knowledge 25900 c 14.66
CZ PAN 3300 55.15 + N/A N/A 0.18 estimate a 29.04 = 0.07 - 0.07 0 - 0 0.11 - 0.11 XX = good good good FV FV + U1 = knowledge knowledge 700 a 20.59
HU PAN 1937 32.37 = 0.20 0.40 N/A estimate a 47.98 = 0.20 - 0.40 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange method 1900 a 55.88
SK PAN 746.60 12.48 = N/A N/A 0.14 estimate b 22.98 = 0.01 - 0.01 0 - 0 0.13 - 0.13 FV u good good good FV FV = FV N/A N/A N/A 800 b 23.53
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 244993 0EQ + ≈ 244993 9251 9366 9309 0EQ + ≈ 9309 6069 | 6782 | 6425 105 | 517 | 311 2067 | 2482 | 2275 2GD = 2GD MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 133662 0EQ = ≈ 133662 541 541 541 2GD = ≈ 541 117 | 133 | 125 25 | 36 | 31 377 | 432 | 405 2GD x 2GD MTX = XX x nong nong XX D

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BLS 3700 0MS + ≈ 3700 0.81 0MS = ≈ 0.81 - | - | - - | - | - 0.81 | 0.81 | 0.81 0MS x 0MS MTX = FV = nong nc FV D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BOR 558190 0EQ = ≈ 558190 1363 1 = ≈ 1363 1223 | 1283 | 1253 70 | 130 | 100 9.43 | 9.43 | 9.43 1 = 2XA MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 272228 2XR = ≈ 272228 2554 2696 2626 2XR = ≈ 2626 1878 | 2084 | 1981 7.23 | 212 | 110 - | - | 535 2XR = 2XR MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MAC 4369 0EQ = ≈ 4369 28 31 30 0EQ = ≈ 30 17 | 18 | 17 7.58 | 9.98 | 8.78 3.34 | 3.34 | 3.34 0EQ = 0EQ MTX = U2 x nong nong U2 D

12/19

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 288620 2GD x x 288620 820 884 852 2GD u x 852 203 | 204 | 203 30 | 30 | 30 587 | 651 | 619 2GD x 2GD MTX x XX N/A nong nong XX D

12/19

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 PAN 5984 0EQ + ≈ 5984 0.53 0.73 0.63 0EQ = ≈ 0.63 0.28 | 0.48 | 0.38 0.005 | 0.005 | 0.005 0.24 | 0.24 | 0.24 2XA = 0EQ MTX = U1 = nong nc U1 A=

03/20

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.