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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, 6510 Lowland hay meadows (Alopecurus pratensis, Sanguisorba officinalis), 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)
22.50 2.70 64.80
N/A N/A 10.47
2.28 0.36 0.36
N/A N/A 272.26
10 10 10
57.50 6.50 31
62.74 4.47 0.68
165 135 N/A
900 75 125
77 27 N/A
37.30 20.03 1463.79
3.03 18.01 16.37
82.64 30.53 1.79
237.01 44.03 616.77
375 1650 1650
0.85 0.75 N/A
4.05 4.95 N/A
N/A N/A N/A
8.79 4.09 2.77
N/A N/A 8.28
225 N/A 25
25 N/A 6.50
0.40 N/A 0.10
159 70 90
N/A 17.35 26.03
5 12 N/A
22 7 61
16.80 51.45 34.20
N/A N/A 137.67
815.79 173.87 441.81
1063.64 354.55 N/A
61250 61250 61250
36 28 211
N/A N/A 891.65
25 120.95 N/A
3341.70 3804.30 189
2800 125 125
0.80 1.80 N/A
203.50 68.50 N/A
171.11 10.01 96.32
173.50 173.50 173.50
9.34 N/A 1.04
1 N/A 3.50
106.38 136.09 40.63
N/A N/A N/A
2.23 0.21 1.70
72 72 96
550 N/A 75
4.55 2.25 80.93
550 N/A 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 31700 14.71 = > 80 100 N/A minimum b 2.02 - >> 22.50 - 22.50 2.70 - 2.70 54.80 - 74.80 U1 x poor bad bad U2 U2 x U2 x noChange noChange 24100 b 17.58
BG ALP 21200 9.84 = 21200 N/A N/A 10.47 minimum b 0.24 = 10.47 N/A - N/A N/A - N/A 10.47 - 10.47 XX x poor poor poor U1 U1 = FV N/A method method 5300 b 3.87
DE ALP 3393 1.57 = > 2.50 3.50 3 estimate b 0.07 - 4 1.90 - 2.66 0.30 - 0.42 0.30 - 0.42 U1 - poor bad poor U2 U2 - U2 - noChange noChange 3100 b 2.26
ES ALP 14500 6.73 x x N/A N/A 272.26 estimate b 6.12 - x N/A - N/A N/A - N/A 272.26 - 272.26 XX x unk unk unk XX U2 x U2 - noChange noInfo 7800 b 5.69
FR ALP 27700 12.86 = 55 55 N/A estimate c 1.24 - > N/A - 20 N/A - 20 N/A - 20 U1 - good poor bad U2 U2 - U2 - noChange noChange 11600 b 8.46
HR ALP 6800 3.16 = 90 100 N/A estimate a 2.14 = 55 - 60 5 - 8 30 - 32 XX u good good unk FV FV = N/A N/A N/A 6000 a 4.38
IT ALP 57000 26.45 + 390.94 598.45 N/A estimate b 11.13 - > 62.74 - 62.74 4.47 - 4.47 0.68 - 0.68 U1 - good poor poor U1 U1 = U2 - knowledge knowledge 34400 b 25.09
PL ALP 9200 4.27 = 200 400 300 estimate b 6.75 = 60 - 270 30 - 240 N/A - N/A U1 = good good good FV U1 = U1 - noChange knowledge 4600 b 3.36
RO ALP 2800 1.30 = N/A N/A 1500 interval b 33.74 = 600 - 1200 50 - 100 50 - 200 FV = good good good FV FV = FV N/A noChange noChange 1200 a 0.88
SI ALP 7656 3.55 = 7656 N/A N/A 104 minimum b 2.34 - > 75 - 79 25 - 29 N/A - N/A U1 - good bad bad U2 U2 - U2 - noChange noChange 4200 b 3.06
SK ALP 33525.16 15.56 = N/A N/A 1521.12 estimate b 34.22 + 37.30 - 37.30 20.03 - 20.03 1463.79 - 1463.79 FV u good good good FV FV = FV N/A N/A N/A 34800 b 25.38
BE ATL 22300 5.62 = N/A N/A 37.62 estimate b 0.86 - >> 1.59 - 4.47 16.57 - 19.45 16.37 - 16.37 U2 - good bad bad U2 U2 - U2 - noChange noChange 19700 a 9.02
DE ATL 59226 14.92 + >> 79.96 149.96 114.96 estimate b 2.63 - >> 72.94 - 92.34 21.37 - 39.69 1.26 - 2.33 U2 - bad bad bad U2 U2 - U2 - noChange noChange 45500 b 20.82
ES ATL 66300 16.70 = N/A N/A 897.82 estimate b 20.51 = 237.01 - 237.01 44.03 - 44.03 616.77 - 616.77 U1 = good good poor U1 U1 = U2 - method method 43100 b 19.73
FR ATL 186100 46.87 = N/A N/A 3300 estimate c 75.40 - 50 - 700 N/A - 3300 N/A - 3300 U2 - good bad bad U2 U2 - U2 - noChange noChange 85500 b 39.13
IE ATL 8100 2.04 - 19200 N/A N/A 1.60 minimum a 0.04 - >> 0.85 - 0.85 0.75 - 0.75 N/A - N/A U2 - bad bad bad U2 U2 - U2 = noChange knowledge 3900 a 1.78
NL ATL 9200 2.32 = N/A N/A 9 estimate a 0.21 = >> 1.90 - 6.20 2.80 - 7.10 N/A - N/A U2 = good bad bad U2 U2 = U2 = noChange noChange 8100 a 3.71
PT ATL 2400 0.60 = 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 knowledge 1100 c 0.50
UK ATL 43420.37 10.94 = 43420.37 N/A N/A 15.90 estimate a 0.36 - > 8.79 - 8.79 4.09 - 4.09 2.52 - 3.02 U2 = good poor bad U2 U2 - U2 + noChange genuine 11600 a 5.31
BG BLS 3800 80.85 + 3800 N/A N/A 8.28 minimum b 2.03 u 8.28 N/A - N/A N/A - N/A 8.28 - 8.28 XX x bad bad bad U2 U2 x FV N/A method method 2300 b 88.46
RO BLS 900 19.15 = N/A N/A 400 interval b 97.97 = 100 - 350 N/A - N/A N/A - 50 FV + good good good FV FV = FV N/A noChange noChange 300 a 11.54
EE BOR 42500 10.06 = 30 33 N/A estimate b 7.54 = 25 - 25 N/A - N/A 5 - 8 FV = good good good FV FV = FV N/A noChange noChange 23700 a 13.19
FI BOR 28200 6.68 = > N/A N/A 0.50 estimate b 0.12 = > 0.40 - 0.40 N/A - N/A 0.10 - 0.10 U1 = poor bad bad U2 U2 = U2 - noChange method 6100 a 3.39
LT BOR 64787 15.34 = 64787 N/A N/A 319 estimate a 76.33 + 159 - 159 70 - 70 90 - 90 U1 u good poor poor U1 U1 = U1 = knowledge knowledge 62800 a 34.95
LV BOR 61453 14.55 = x 43.39 56.40 N/A estimate b 11.94 - x N/A - N/A 13.01 - 21.69 21.69 - 30.37 U2 - good poor poor U1 U2 - U2 - knowledge knowledge N/A a 0
SE BOR 225400 53.37 = N/A N/A 17 estimate b 4.07 - >> 5 - 5 12 - 12 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 87100 b 48.47
AT CON 31600 3.56 = > 80 100 N/A estimate b 0.55 - >> 22 - 22 7 - 7 51 - 71 U2 x poor bad bad U2 U2 x U2 x noChange noChange 23700 b 3.81
BE CON 15399 1.73 = N/A N/A 85.40 estimate a 0.52 - >> 12.60 - 21 38.60 - 64.30 34.20 - 34.20 U2 = good bad bad U2 U2 - U2 - noChange noChange 11900 a 1.91
BG CON 59100 6.65 u 59100 N/A N/A 137.67 minimum b 0.84 - 137.67 N/A - N/A N/A - N/A 137.67 - 137.67 XX x bad bad bad U2 U2 x U1 = noChange method 22500 b 3.62
CZ CON 84900 9.55 = N/A N/A 1431.47 estimate a 8.69 = 815.79 - 815.79 173.87 - 173.87 441.81 - 441.81 U1 = good good good FV U1 = U2 + knowledge method 78000 a 12.54
DE CON 271429 30.54 = 1320.86 1440.19 1418.18 estimate b 8.61 - >> 957.27 - 1170 248.18 - 460.91 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 253800 b 40.79
FR CON 192900 21.70 = > 1000 121500 N/A minimum c 6.07 - > 1000 - 121500 1000 - 121500 1000 - 121500 U2 - bad bad bad U2 U2 - U2 - noChange noChange 101300 b 16.28
HR CON 26100 2.94 = 260 290 N/A estimate a 1.67 = 35 - 37 25 - 31 200 - 222 U1 u good good poor U1 U1 = N/A N/A noChange noChange 23200 a 3.73
IT CON 77100 8.67 + 862.74 920.57 N/A estimate b 5.41 = > N/A - N/A N/A - N/A 862.74 - 920.57 XX = poor poor good U1 U1 + U1 = noChange knowledge 47400 b 7.62
LU CON 3900 0.44 = 126.60 165.53 N/A estimate b 0.89 - > 21.67 - 28.33 104.82 - 137.09 N/A - N/A U2 - good poor bad U2 U2 - U2 - genuine genuine 2600 a 0.42
PL CON 88200 9.92 = 6650 8000 7325 estimate b 44.46 = 1886.70 - 4796.70 2339.30 - 5269.30 189 - 189 U1 - poor poor poor U1 U1 - U1 - noChange noChange 37200 b 5.98
RO CON 5700 0.64 = N/A N/A 3400 interval b 20.64 = 2600 - 3000 50 - 200 50 - 200 FV + good good good FV FV = FV N/A noChange noChange 3200 a 0.51
SE CON 19900 2.24 = N/A N/A 2.60 estimate b 0.02 - >> 0.80 - 0.80 1.80 - 1.80 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 7700 b 1.24
SI CON 12616 1.42 = 12616 N/A N/A 272 minimum b 1.65 - > 200 - 207 65 - 72 N/A - N/A U1 - good bad bad U2 U2 - U2 - noChange noChange 9700 b 1.56
ES MED 73600 50.96 x N/A N/A 277.45 estimate b 34.64 - > 171.11 - 171.11 10.01 - 10.01 96.32 - 96.32 U1 x unk poor unk XX U1 x U2 - method knowledge 34100 b 41.59
FR MED 20000 13.85 = x 156 191 N/A estimate c 21.66 - x 156 - 191 156 - 191 156 - 191 U2 u good poor poor U2 U2 - U2 - noChange noChange 19700 b 24.02
GR MED 713 0.49 = N/A N/A 10.38 estimate b 1.30 = 9.34 - 9.34 N/A - N/A 1.04 - 1.04 FV = good good good FV FV = U1 = knowledge noChange 700 b 0.85
HR MED 2700 1.87 = 4 5 N/A estimate a 0.56 = x 1 - 1 N/A - N/A 3 - 4 XX u good unk unk XX XX N/A N/A noChange noChange 2100 a 2.56
IT MED 37400 25.90 = 298.21 371.98 N/A estimate b 41.84 - > 106.38 - 106.38 136.09 - 136.09 40.63 - 40.63 U2 - good poor bad U2 U2 - U1 - knowledge noChange 20200 b 24.63
PT MED 10000 6.92 = N/A N/A N/A d 0 - < N/A - N/A N/A - N/A N/A - N/A U2 = good poor bad U2 U2 - U1 - genuine noChange 5200 c 6.34
CZ PAN 5400 8.11 = N/A N/A 4.14 estimate a 0.40 = 2.23 - 2.23 0.21 - 0.21 1.70 - 1.70 U1 = good good good FV U1 = U1 = noChange noChange 2600 a 3.99
HU PAN 50474 75.77 = 230 250 N/A estimate b 23.26 = > 69 - 75 69 - 75 92 - 100 U2 - good poor bad U2 U2 - U1 = knowledge knowledge 51600 b 79.26
RO PAN 1200 1.80 = N/A N/A 700 interval b 67.84 = 500 - 600 N/A - N/A 50 - 100 FV u good good good FV FV = FV N/A noChange noChange 700 a 1.08
SK PAN 9544.15 14.33 = N/A N/A 87.72 estimate b 8.50 + > 4.55 - 4.55 2.25 - 2.25 80.93 - 80.93 FV u good good good FV U1 = U1 = N/A N/A 10200 b 15.67
RO STE 1200 100 = N/A N/A 700 interval b 100 = 500 - 600 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 600 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 STE 1200 0MS = ≈ 1200 700 0MS = ≈ 700 500 | 600 | 550 0 | 0 | 0 0 | 100 | 50 0MS = good good good 0MS MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 ALP 215474.16 2GD + x 4226.28 4664.8 4445.54 2GD + > 4446.54 914.44 | 1754.2 | 1334.32 137.49 | 424.61 | 281.05 1882.3 | 2074.42 | 1978.36 2GD - 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 CON 888844 1 = ≈ 911294 15629.33 137745.42 76725.03 2GD - > 76725.03 7551.82 | 131598.61 | 65575.22 4053.57 | 127917 | 65985.42 2966.42 | 123716.25 | 63341.33 2GD - 2GD MTX - U2 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 ATL 397046.37 2GD = x 408146.37 4341.89 4411.89 4376.89 2GD - >> 4376 373.08 | 1049.66 | 711.37 89.61 | 3415.11 | 1752.36 636.92 | 3938.49 | 2287.70 2GD - 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 PAN 66618.15 0EQ = 66618.15 1021.85 1041.85 1031.85 2GD = < 1064.62 575.77 | 681.77 | 628.77 71.45 | 77.45 | 74.45 224.62 | 282.62 | 253.62 2GD - good 2GD MTX - U1 = nong nong U1 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 BLS 4700 0EQ + ≈ 4700 408.27 2GD = ≈ 408.27 100 | 350 | 225 - | - | - 8.27 | 58.27 | 33.27 2GD x 2GD MTX x FV = nong nong FV D

01/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 MED 144413 1 x x 144413 2GD - x - | - | - - | - | - - | - | - 2GD x 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 BOR 422340 1 = < 425160 409.89 425.9 417.89 2XA + >> 417.89 189.4 | 189.4 | 189.4 95 | 103.69 | 99.35 116.79 | 128.47 | 122.63 1 x 2XA MTX = U2 - nong nong U2 D

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
RO CON 50 | 200 | - 2600 | 3000 | - 50 | 200 | - 2XA - poor poor poor 2XA 3XA - U2 - U1 0/1

04/20

Fundatia ADEPT Transilvania

Institution: Fundatia ADEPT Transilvania

Member State: RO

Fundatia ADEPT Transilvania
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.