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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, Heath & scrub, 4060 Alpine and Boreal heaths, All bioregions. Show all Heath & scrub
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)
3000 N/A N/A
N/A N/A 274.09
4.18 0.15 N/A
1.26 N/A 131.24
1137 1760 N/A
N/A N/A 5500
45 N/A N/A
N/A N/A 1345.26
0.64 0.42 N/A
1286.20 N/A 500.60
16650 N/A 1850
115 N/A N/A
1.46 0.18 8.01
59.12 32.18 63.62
97.22 53.52 N/A
55.29 98 270.30
510 220 20
270 N/A 30
N/A N/A 68.45
6.26 0.08 0.06
0.03 0.01 N/A
N/A N/A 2902
N/A N/A 49.16
0.63 1.35 N/A
19 N/A N/A
99.45 29.20 686.59
10 10 10
N/A 32.97 131.90
45 N/A N/A
44.27 3.16 0.23
N/A 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 39200 12 = N/A N/A 3000 estimate b 8.24 = 3000 - 3000 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 31700 b 13.27
BG ALP 17400 5.33 + 17400 N/A N/A 274.09 minimum b 0.75 = 274.09 N/A - N/A N/A - N/A 274.09 - 274.09 XX x poor poor poor U1 U1 = U1 = method method 8100 b 3.39
DE ALP 3133 0.96 = 3133 4.33 4.33 4.33 estimate a 0.01 = 4.13 - 4.23 0.10 - 0.20 N/A - N/A FV = good good good FV FV = U1 = knowledge noChange 2800 a 1.17
ES ALP 12200 3.74 = N/A N/A 132.50 estimate b 0.36 - 1.26 - 1.26 N/A - N/A 131.24 - 131.24 XX x good good good FV U1 x XX N/A genuine noChange 6500 b 2.72
FI ALP 21700 6.65 = N/A N/A 5700 estimate a 15.65 = 4 - 2270 130 - 3390 N/A - N/A U1 - good good poor U1 U1 - U1 - noChange noChange 19600 a 8.21
FR ALP 38300 11.73 = 5500 5500 N/A estimate c 15.10 + N/A - N/A N/A - N/A 5500 - 5500 FV = good good unk FV FV + FV N/A noChange noChange 25000 a 10.47
HR ALP 6700 2.05 = N/A N/A 45 minimum b 0.12 = 45 - 45 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 5000 a 2.09
IT ALP 55200 16.90 + 1316 1374.52 N/A estimate b 3.69 = N/A - N/A N/A - N/A 1316 - 1374.52 XX = good good good FV FV = FV N/A noChange noChange 42200 b 17.67
PL ALP 800 0.24 + N/A N/A 1.06 estimate b 0 - > 0.53 - 0.74 0.32 - 0.53 N/A - N/A U1 = poor poor poor U1 U1 = FV N/A knowledge noChange 300 b 0.13
RO ALP 31800 9.74 = N/A N/A 1786.80 estimate a 4.91 = 1286.20 - 1286.20 N/A - N/A 500.60 - 500.60 U1 = good good good FV U1 = FV N/A N/A N/A 24500 a 10.26
SE ALP 95500 29.25 = 95500 N/A N/A 18500 estimate b 50.81 = 18500 16650 - 16650 N/A - N/A 1850 - 1850 FV = good good good FV FV = FV N/A noChange noChange 68000 b 28.48
SI ALP 2460 0.75 = N/A N/A 115 minimum c 0.32 = 115 - 115 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2800 c 1.17
SK ALP 2147.98 0.66 = N/A N/A 9.66 estimate b 0.03 = 1.46 - 1.46 0.18 - 0.18 8.01 - 8.01 FV u good good good FV FV = FV N/A N/A N/A 2300 b 0.96
ES ATL 14600 15.46 = x N/A N/A 154.92 minimum b 21.24 = 59.12 - 59.12 32.18 - 32.18 63.62 - 63.62 U1 = unk good good FV U1 = XX N/A knowledge knowledge 8400 b 14.26
IE ATL 36500 38.64 = 36500 N/A N/A 150.74 minimum b 20.67 - 89.73 - 104.72 46.02 - 61.01 N/A - N/A U2 + good poor bad U2 U2 + U2 + noChange noChange 26100 b 44.31
UK ATL 43359.44 45.90 = 43359.44 N/A N/A 423.54 estimate b 58.08 = 465.89 55.29 - 55.29 97.95 - 98.05 230.30 - 310.30 U2 + good poor bad U2 U2 + U2 = noChange genuine 24400 a 41.43
FI BOR 49800 55.89 = N/A N/A 990 estimate a 76.74 = 400 - 620 90 - 350 20 - 20 U1 - poor poor poor U1 U1 - U1 = noChange knowledge 18000 a 59.21
SE BOR 39300 44.11 = 39300 N/A N/A 300 estimate b 23.26 = 300 270 - 270 N/A - N/A 30 - 30 FV = good good good FV FV = FV N/A noChange noChange 12400 b 40.79
BG CON 15400 41.33 u 15400 N/A N/A 68.45 minimum b 51.75 = 68.45 N/A - N/A N/A - N/A 68.45 - 68.45 XX x poor poor poor U1 U1 x FV N/A method method 3100 b 26.05
CZ CON 1100 2.95 = N/A N/A 6.41 estimate a 4.84 = 6.26 - 6.26 0.08 - 0.08 0.06 - 0.06 FV = good good poor U1 U1 = FV N/A genuine noChange 800 a 6.72
DE CON 261 0.70 = 261 0.05 0.05 0.05 estimate b 0.04 = 0.05 N/A - 0.05 N/A - 0.01 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 200 a 1.68
FR CON 7200 19.32 x N/A N/A 6.20 estimate b 4.69 u N/A - N/A N/A - N/A 2902 - 2902 XX x unk unk unk XX XX x U1 - noInfo noInfo 2900 a 24.37
IT CON 12200 32.74 + 48.56 49.77 N/A estimate b 37.17 = N/A - N/A N/A - N/A 48.56 - 49.77 XX = good good good FV FV = FV N/A noChange noChange 4300 b 36.13
PL CON 1100 2.95 + N/A N/A 1.99 estimate b 1.50 = 0.36 - 0.90 1.08 - 1.62 N/A - N/A U2 x poor poor poor U1 U2 = U1 - knowledge knowledge 600 b 5.04
PT MAC 300 100 = 15 23 22 estimate a 100 = 15 - 23 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 c 100
ES MED 42100 55.62 x x N/A N/A 815.24 estimate b 73.85 x x 99.45 - 99.45 29.20 - 29.20 686.59 - 686.59 XX = unk unk good XX XX XX N/A noChange noChange 17300 b 49.15
FR MED 13400 17.70 = x 3 17 N/A estimate c 0.91 = x 3 - 17 3 - 17 3 - 17 U1 u good good good FV U1 = U1 - noChange noInfo 4200 a 11.93
GR MED 689 0.91 = N/A N/A 164.87 estimate b 14.94 = N/A - N/A 32.97 - 32.97 131.90 - 131.90 U1 + good good poor U1 U1 + FV N/A knowledge knowledge 3900 b 11.08
HR MED 6300 8.32 = N/A N/A 45 minimum b 4.08 = 45 - 45 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 3800 a 10.80
IT MED 12800 16.91 + 46.52 63.60 N/A estimate b 4.99 + 44.27 - 44.27 3.16 - 3.16 0.23 - 0.23 FV = good good good FV FV = XX N/A knowledge knowledge 5600 b 15.91
PT MED 400 0.53 = N/A N/A 13.70 estimate c 1.24 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange knowledge 400 c 1.14
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 326541 0EQ = ≈ 326541 36414 0EQ = ≈ 36414 - | - | - - | - | - - | - | - 2XA 2XA MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 94459 1 = ≈ 94459 729 1 = ≈ 772 204 | 2019 | - 176 | 191 | - 294 | 374 | - 2XA + 2XA MTX + U2 + nc nc U2 B1

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BOR 89100 0EQ = ≈ 89100 1290 0EQ = ≈ 1290 - | - | - - | - | - - | - | - 2XA 2XA MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 CON 37261 1 x ≈ 37261 132 1 = ≈ 132 - | - | 6.9 - | - | 1.4 - | - | 123.9 1 = 2XA MTX x FV = nong nong FV D

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 MAC 300 0MS = ≈ 300 15 23 22 0MS = ≈ 22 15 | 23 | - - | - | 0 - | - | 0 0MS = 0MS MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 MED 75689 1 x ≈ 75689 1104 1 x ≈ 1104 - | - | - - | - | - - | - | - 2XA 2XA MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

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.