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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, Grasslands, 6430 Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels, All bioregions. Show all Grasslands
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)
N/A N/A 200
N/A N/A 10.73
20 0.50 1.50
N/A N/A 1.19
0.50 N/A 9.50
550 5.50 550
2.50 0.75 2
148.58 4.05 4.53
8.10 3.20 N/A
5350 200 150
N/A N/A 100
62.11 N/A N/A
2.79 1.92 15.17
0.03 31.03 1.64
3.09 3.22 6.22
0.80 34.90 N/A
5.18 5.18 26.40
550 515 935
0.67 0.33 N/A
15 9 N/A
N/A N/A N/A
1.85 1.19 0.73
N/A N/A 1.56
450 N/A 50
18 N/A 2
1.40 N/A 38.60
8.80 8.80 N/A
N/A 2.06 3.08
N/A N/A 2
N/A N/A 10
N/A N/A 60.49
N/A N/A 56.24
53.60 12.93 33.83
54.19 15.17 2.17
2.80 61.20 N/A
N/A N/A 97000
0.20 1.20 6.85
35.70 9.53 0.35
0.13 0.04 N/A
24.05 41.95 N/A
6700 200 150
N/A N/A 1
58.04 38 N/A
53.81 21.46 61
14.50 14.50 14.50
N/A 1.67 6.65
12 6.29 11.70
N/A N/A N/A
0.24 0 0.01
1.65 1.65 2.20
1250 100 100
0.50 0.38 2.70
2150 50 150
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 46300 13.87 = N/A N/A 200 estimate b 2.40 = N/A - N/A N/A - N/A 200 - 200 XX x good good unk FV FV = FV N/A N/A N/A 25000 b 12.96
BG ALP 25500 7.64 + 25500 N/A N/A 10.73 minimum b 0.13 u 10.73 N/A - N/A N/A - N/A 10.73 - 10.73 XX x good unk unk XX XX U1 = method method 11100 b 5.75
DE ALP 4155 1.25 = 4155 22 22 22 estimate a 0.26 = 20 - 20 0.50 - 0.50 1.50 - 1.50 FV = good good good FV FV = FV N/A noChange noChange 5200 b 2.70
ES ALP 11500 3.45 x N/A N/A 1.19 estimate b 0.01 = N/A - N/A N/A - N/A 1.19 - 1.19 XX x unk unk unk XX XX U1 x method noChange 4100 b 2.13
FI ALP 1300 0.39 = N/A N/A 10 estimate c 0.12 = 0.50 - 0.50 N/A - N/A 9.50 - 9.50 FV = good good good FV FV = FV N/A noChange method 900 b 0.47
FR ALP 41700 12.50 = 100 1000 550 estimate d 6.60 x x 100 - 1000 1 - 10 100 - 1000 FV x good good good FV FV x FV N/A noChange noChange 25700 b 13.32
HR ALP 6000 1.80 = 5 6 N/A estimate a 0.07 = 2 - 3 0.70 - 0.80 2 - 2 U1 u good good poor U1 U1 = N/A N/A noChange noChange 5500 a 2.85
IT ALP 58100 17.41 = 156.85 734.44 N/A estimate b 5.34 + 148.58 - 148.58 4.05 - 4.05 4.53 - 4.53 FV + good good poor U1 U1 + U1 - noChange knowledge 35700 b 18.51
PL ALP 13800 4.14 + N/A N/A 11.27 estimate b 0.14 = 6.10 - 10.10 1.20 - 5.20 N/A - N/A FV = good good good FV FV + FV N/A noChange noChange 9800 b 5.08
RO ALP 22500 6.74 = N/A N/A 6900 interval b 82.75 = 4500 - 6200 N/A - 400 N/A - 300 FV = good good good FV FV = FV N/A noChange noChange 5400 a 2.80
SE ALP 66900 20.05 = N/A N/A 100 estimate c 1.20 x N/A - N/A N/A - N/A 100 - 100 XX x good good unk FV FV x FV N/A noChange method 30800 b 15.97
SI ALP 7656 2.29 = 7656 N/A N/A 62.11 minimum b 0.74 x 62.11 - 62.11 N/A - N/A N/A - N/A FV = good good unk FV FV = FV N/A noChange noChange 5100 b 2.64
SK ALP 28306.61 8.48 = N/A N/A 19.87 estimate b 0.24 = 2.79 - 2.79 1.92 - 1.92 15.17 - 15.17 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 28600 b 14.83
BE ATL 20600 4.50 = N/A N/A 32.85 estimate b 2.87 x 0.03 - 0.03 31.03 - 31.03 1.64 - 1.64 U2 x good unk bad U2 U2 x U2 = noChange method 17400 b 6.26
DE ATL 60064 13.12 x x 12.17 12.89 N/A estimate c 1.09 x x 3.09 - 3.09 3.22 - 3.22 6.22 - 6.22 U2 x unk poor bad U2 U2 x U2 - noChange noInfo 47400 b 17.06
DK ATL 13020 2.84 x N/A N/A 35.70 estimate a 3.11 x 0.80 - 0.80 34.90 - 34.90 N/A - N/A U2 x good good bad U2 U2 x U2 = N/A N/A 11800 a 4.25
ES ATL 54900 11.99 = N/A N/A 36.77 estimate b 3.21 = x 5.18 - 5.18 5.18 - 5.18 26.40 - 26.40 U1 x unk poor unk XX U1 = FV N/A method knowledge 33800 b 12.16
FR ATL 217700 47.56 = 500 1500 1000 estimate c 87.22 - 100 - 1000 30 - 1000 870 - 1000 U1 x good poor poor U1 U1 x U1 = N/A noChange 112300 b 40.41
IE ATL 19100 4.17 - 19200 N/A N/A 1 minimum b 0.09 - > 0.50 - 0.84 0.16 - 0.50 N/A - N/A U2 = poor poor bad U2 U2 - U2 = noChange genuine 10900 b 3.92
NL ATL 28100 6.14 = N/A N/A 24 estimate b 2.09 = 10.10 - 19.90 4.10 - 13.90 N/A - N/A U1 = good unk unk XX U1 = U1 = noChange noChange 23300 a 8.38
PT ATL 6500 1.42 = 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 + U1 = knowledge knowledge 4900 c 1.76
UK ATL 37749.18 8.25 = 37749.18 N/A N/A 3.72 estimate b 0.32 = x 1.60 - 2.10 1.18 - 1.19 0.48 - 0.98 U2 + good unk bad U2 U2 + U2 + noChange noChange 16100 a 5.79
BG BLS 5300 81.54 u 5300 N/A N/A 1.56 minimum b 0.22 u 1.56 N/A - N/A N/A - N/A 1.56 - 1.56 XX x bad bad bad U2 U2 x U1 = method method 2700 b 79.41
RO BLS 1200 18.46 = N/A N/A 700 interval b 99.78 = 300 - 600 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 700 a 20.59
EE BOR 49100 17.23 = N/A N/A 20 estimate a 23.40 = 18 - 18 N/A - N/A 2 - 2 FV = good good good FV FV = FV N/A noChange noChange 26100 a 26.15
FI BOR 102900 36.11 + N/A N/A 40 estimate b 46.80 = 1.40 - 1.40 N/A - N/A 38.60 - 38.60 U1 = good poor poor U1 U1 + U1 = noChange knowledge 32500 b 32.57
LT BOR 64787 22.73 = 64787 N/A N/A 17.55 estimate a 20.53 u > 8.80 - 8.80 8.80 - 8.80 N/A - N/A U2 u good poor poor U1 U2 x U1 = knowledge knowledge 29000 a 29.06
LV BOR 24309 8.53 = x 5.14 6.69 N/A estimate b 6.92 = x N/A - N/A 1.54 - 2.57 2.57 - 3.60 U1 = good good poor U1 U1 = FV N/A knowledge knowledge N/A a 0
SE BOR 43900 15.40 = N/A N/A 2 estimate c 2.34 x >> N/A - N/A N/A - N/A 2 - 2 XX x good bad unk U2 U2 x U2 = noChange method 12200 b 12.22
AT CON 15600 1.98 x > N/A N/A 10 minimum c 0.10 x > N/A - N/A N/A - N/A 10 - 10 XX x poor poor unk U1 U1 x U1 x noChange noChange 3900 b 0.68
BE CON 15499 1.96 x N/A N/A 60.49 estimate b 0.63 x > N/A - N/A N/A - N/A 60.49 - 60.49 U1 x good poor unk U1 U1 x U1 x noChange noChange 12800 b 2.22
BG CON 79400 10.06 = 79400 N/A N/A 56.24 minimum b 0.58 - 56.24 N/A - N/A N/A - N/A 56.24 - 56.24 XX x bad bad bad U2 U2 x U1 = method method 33300 b 5.78
CZ CON 85000 10.77 = N/A N/A 100.36 estimate a 1.04 - 53.60 - 53.60 12.93 - 12.93 33.83 - 33.83 U1 - poor poor poor U1 U2 - U2 - noChange noChange 70100 a 12.17
DE CON 263187 33.34 = 67.28 75.62 71.53 estimate b 0.74 - > 37.93 - 70.44 10.62 - 19.72 1.52 - 2.82 U1 - good unk poor U1 U1 - XX N/A genuine knowledge 238300 b 41.39
DK CON 28410 3.60 x N/A N/A 63.90 estimate a 0.66 x 2.80 - 2.80 61.20 - 61.20 N/A - N/A U2 x good good bad U2 U2 x U2 = N/A N/A 24900 a 4.32
FR CON 97000 12.29 = N/A N/A 975 estimate c 10.09 = N/A - N/A N/A - N/A 97000 - 97000 XX = poor poor unk U1 U1 = U1 = noChange noChange 92100 b 16
HR CON 17900 2.27 = 6.50 10 N/A estimate a 0.09 = 0.20 - 0.20 1.20 - 1.20 5.10 - 8.60 U1 u good good poor U1 U1 = N/A N/A noChange noChange 17000 a 2.95
IT CON 79500 10.07 = 52.91 58.65 N/A estimate b 0.58 = 35.70 - 35.70 9.53 - 9.53 0.35 - 0.35 U1 - good poor poor U1 U1 - FV N/A knowledge knowledge 30800 b 5.35
LU CON 3500 0.44 = 0.13 0.24 N/A estimate b 0 - 0.49 0.06 - 0.20 0.03 - 0.06 N/A - N/A U2 - good bad bad U2 U2 - U1 x genuine genuine 2600 a 0.45
PL CON 62800 7.96 + N/A N/A 66.05 estimate b 0.68 = 5.70 - 42.40 23.60 - 60.30 N/A - N/A U2 = good good poor U1 U2 + U1 = knowledge knowledge 31800 b 5.52
RO CON 21000 2.66 = N/A N/A 8100 interval b 83.81 = 6000 - 7400 N/A - 400 N/A - 300 FV = good good good FV FV = FV N/A noChange noChange 6500 a 1.13
SE CON 8100 1.03 = N/A N/A 1 estimate c 0.01 x >> N/A - N/A N/A - N/A 1 - 1 XX x good bad unk U2 U2 x U2 = noChange method 3000 b 0.52
SI CON 12393 1.57 = N/A N/A 96.04 minimum b 0.99 = > 58.04 - 58.04 38 - 38 N/A - N/A U2 - good poor poor U1 U2 - U2 - noChange noChange 8700 b 1.51
ES MED 205100 54.39 = N/A N/A 136.28 estimate b 65 - x 53.81 - 53.81 21.46 - 21.46 61 - 61 U1 x unk poor unk XX U1 x U1 x noChange noChange 89200 b 47.50
FR MED 44600 11.83 = x 11 58 N/A estimate c 16.46 - x 11 - 18 11 - 18 11 - 18 U1 u good poor poor U1 U1 - U1 = noChange noInfo 16300 b 8.68
GR MED 1594 0.42 = N/A N/A 8.32 estimate b 3.97 = N/A - N/A 1.67 - 1.67 6.65 - 6.65 U1 + good good poor FV U1 + FV N/A knowledge knowledge 3000 b 1.60
IT MED 60700 16.10 + 28.01 33.11 N/A estimate b 14.58 = 12 - 12 6.29 - 6.29 11.70 - 11.70 U1 - good poor poor U1 U1 - U1 - noChange noChange 25500 b 13.58
PT MED 65100 17.26 = 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 = U1 = knowledge noChange 53800 c 28.65
CZ PAN 5600 11.83 = N/A N/A 0.25 estimate a 0.01 = 0.24 - 0.24 0 - 0 0.01 - 0.01 FV = poor poor poor U1 U1 = U1 = noChange noChange 1400 a 3.26
HU PAN 30983 65.43 = 1 10 N/A estimate c 0.29 - > 0.30 - 3 0.30 - 3 0.40 - 4 U2 - good poor bad U2 U2 - U2 = noChange knowledge 32500 b 75.58
RO PAN 3900 8.24 = N/A N/A 1900 interval b 99.51 = 1000 - 1500 N/A - 200 N/A - 200 FV = good good good FV FV = FV N/A noChange noChange 1600 a 3.72
SK PAN 6869.02 14.51 = N/A N/A 3.58 estimate b 0.19 = 0.50 - 0.50 0.38 - 0.38 2.70 - 2.70 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 7500 b 17.44
RO STE 4000 100 = N/A N/A 2600 interval b 100 = 2000 - 2300 N/A - 100 100 - 200 FV = good good good FV FV = FV N/A noChange noChange 2100 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 333717.61 1 = ≈ 333717.61 699 2178 1438 2XA ≈ 1438 - | - | 795 - | - | 16 - | - | 895 2XA 2XA MTX + U1 = nc nong U1 B1

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 457733 2XA ≈ 457833 646 1647 1147 2XA ≈ 1147 - | - | - - | - | - - | - | - 2XA 2XA MTX x U2 = nong nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BLS 6500 1 x ≈ 6500 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX x U1 = nong nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BOR 284996 0EQ + ≈ 284996 85.47 2XA - | - | - - | - | 10.86 - | - | 45.69 2XA 2XA MTX + U1 = nc nong U1 B1

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 CON 789289 2XA < 790849 1556 1574 1565 2XA < 1589 - | - | - - | - | - - | - | - 2XA 2XA MTX - U1 x nc nong U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 MED 377094 0EQ = ≈ 377094 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 PAN 47352 0EQ = ≈ 47352 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U2 = nc nong U2 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 STE 4000 0MS = ≈ 4000 0MS = - | - | - - | - | - - | - | - 0MS = 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
RO CON N/A | 400 | - 6000 | 7400 | - N/A | 300 | - 2XA - poor poor poor 2XA 3XA - U1 x U1 0/1

03/20

Fundatia ADEPT Transilvania

Institution: Fundatia ADEPT Transilvania

Member State: RO

Fundatia ADEPT Transilvania
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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.