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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, 6520 Mountain hay meadows, 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)
1.50 0.60 37.90
N/A N/A 164.02
5.60 0.40 1.50
N/A N/A 13.37
27.50 27.50 55
0.80 N/A N/A
140.98 8.38 1
26.25 23.75 N/A
6950 125 250
0.80 1.90 N/A
101.29 N/A N/A
2.03 1.56 6.24
1.68 1.03 6.55
2 4.80 N/A
2.70 2 4.80
1.73 6.37 6.78
N/A N/A 58.93
85.74 8.14 20.61
136.68 36.33 N/A
10050 10050 10050
0.03 N/A N/A
4.04 N/A N/A
23.15 14.35 N/A
N/A N/A 1.30
31 31 31
N/A N/A N/A
19.50 6.50 6.50
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 12.68 x >> 30 50 N/A minimum b 0.41 - >> 1.50 - 1.50 0.60 - 0.60 27.90 - 47.90 U2 x bad bad bad U2 U2 x U2 x noChange noChange 12100 b 9.51
BG ALP 23000 9.20 + 23000 N/A N/A 164.02 minimum b 1.69 = 164.02 N/A - N/A N/A - N/A 164.02 - 164.02 XX x good good unk FV FV = U1 = method method 13800 b 10.84
DE ALP 3536 1.41 = 6 9 7.50 estimate b 0.08 - > 4.70 - 6.50 0.30 - 0.50 1 - 2 U1 - good poor poor U1 U1 - U1 - noChange noChange 3500 b 2.75
ES ALP 5200 2.08 = N/A N/A 13.37 estimate b 0.14 - N/A - N/A N/A - N/A 13.37 - 13.37 XX x good poor unk U1 U1 x U2 - genuine noInfo 2700 a 2.12
FR ALP 34100 13.64 - > 55 55 N/A estimate c 0.57 - >> N/A - 55 N/A - 55 55 - 55 U2 - poor bad bad U2 U2 - U2 - noChange noChange 24100 b 18.93
HR ALP 500 0.20 = >> N/A N/A 0.80 estimate a 0.01 u >> 0.80 - 0.80 N/A - N/A N/A - N/A FV u bad bad good U2 U2 x N/A N/A noChange noChange 500 a 0.39
IT ALP 52800 21.12 = > 682.12 892.25 N/A estimate b 8.09 + 140.98 - 140.98 8.38 - 8.38 1 - 1 U1 = poor good poor U1 U1 + U2 - knowledge knowledge 37100 b 29.14
PL ALP 9900 3.96 = N/A N/A 50 estimate b 0.51 - > 15 - 37.50 12.50 - 35 N/A - N/A U1 - good poor poor U1 U1 - U1 - noChange noChange 6100 b 4.79
RO ALP 19500 7.80 = N/A N/A 8500 interval b 87.34 = 6000 - 7900 50 - 200 100 - 400 FV = good good good FV FV = FV N/A noChange noChange 7900 a 6.21
SE ALP 62300 24.92 = N/A N/A 2.70 estimate b 0.03 - >> 0.80 - 0.80 1.90 - 1.90 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 11300 b 8.88
SI ALP 2746 1.10 = N/A N/A 101.29 minimum b 1.04 - > 101.29 - 101.29 N/A - N/A N/A - N/A U1 = good poor unk U1 U1 - U1 = noChange knowledge 3400 b 2.67
SK ALP 4689.68 1.88 x N/A N/A 9.84 estimate b 0.10 - > 2.03 - 2.03 1.56 - 1.56 6.24 - 6.24 FV u unk poor poor U1 U1 x U1 = N/A N/A 4800 b 3.77
UK ATL 20954.52 100 = 20954.52 N/A N/A 9.26 estimate a 100 - >> 1.68 - 1.68 1.03 - 1.03 6.55 - 6.55 U2 - unk bad bad U2 U2 - U2 - noChange noChange 8300 a 100
SE BOR 164100 100 = N/A N/A 6.80 estimate b 100 - >> 2 - 2 4.80 - 4.80 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 38900 b 100
AT CON 7400 4.76 x >> 9 10 N/A estimate b 0.09 - >> 2.70 - 2.70 2 - 2 4.30 - 5.30 U2 x bad bad bad U2 U2 x U2 x noChange noChange 4000 b 4.48
BE CON 5400 3.47 = 5.12 11.50 7.50 estimate a 0.07 - > 0.99 - 2.47 3.72 - 9.02 6.78 - 6.78 U2 = good bad bad U2 U2 - U2 - noChange noChange 2900 a 3.25
BG CON 27300 17.54 = 27300 N/A N/A 58.93 minimum b 0.55 = 58.93 N/A - N/A N/A - N/A 58.93 - 58.93 XX x poor poor poor U1 U1 = U1 = method method 9100 b 10.20
CZ CON 13400 8.61 u N/A N/A 114.48 estimate a 1.08 u 85.74 - 85.74 8.14 - 8.14 20.61 - 20.61 U1 = good good good FV U1 x U1 + noChange method 8200 a 9.19
DE CON 43399 27.89 - > 157.26 175.01 173.01 estimate b 1.63 - >> 125.78 - 147.58 25.43 - 47.23 N/A - N/A U1 - poor bad poor U2 U2 - U2 - noChange noChange 36300 b 40.70
FR CON 39500 25.38 = x 100 20000 N/A minimum c 94.42 - x 100 - 20000 100 - 20000 100 - 20000 U2 - poor bad bad U2 U2 - U2 - noChange noChange 20300 b 22.76
HR CON 100 0.06 = >> N/A N/A 0.03 estimate a 0 = >> 0.03 - 0.03 N/A - N/A N/A - N/A FV = bad bad unk U2 U2 = N/A N/A noChange noChange 100 a 0.11
IT CON 11400 7.33 - >> 79.72 302.62 N/A estimate b 1.80 - >> 4.04 - 4.04 N/A - N/A N/A - N/A U1 - bad bad bad U2 U2 - U2 - noChange noChange 3500 b 3.92
PL CON 7200 4.63 = 35 40 37.50 estimate b 0.35 = 13.60 - 32.70 4.80 - 23.90 N/A - N/A U1 = good good good FV U1 = U1 - noChange knowledge 4400 b 4.93
SI CON 514 0.33 = N/A N/A 1.30 minimum c 0.01 - > N/A - N/A N/A - N/A 1.30 - 1.30 U1 - good poor unk U1 U1 - U1 = noChange knowledge 400 b 0.45
FR MED 12600 100 = x 5 57 N/A estimate c 100 - x 5 - 57 5 - 57 5 - 57 U1 u good poor poor U2 U2 - U2 - noChange noChange 3600 b 100
IT MED 5000 0 x > N/A N/A 4.23 estimate b 0 x > 0.18 - 0.18 N/A - N/A N/A - N/A U1 x poor poor poor U1 U1 x N/A N/A knowledge knowledge N/A b 0
HU PAN 8406 100 = 30 35 N/A estimate b 100 - > 18 - 21 6 - 7 6 - 7 U1 - good poor poor U1 U1 - U1 - noChange noChange 9900 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 ATL 20954.52 0MS = ≈ 20954.52 9.26 0MS - >> 9.26 1.68 | 1.68 | 1.68 1.03 | 1.03 | 1.03 6.55 | 6.55 | 6.55 0MS - unk bad bad 0MS MTX - U2 - nc nc U2 C

12/19

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 BOR 164100 0MS = ≈ 164100 6.8 6.8 6.8 0MS - >> 6.8 2 | 2 | 2 4.8 | 4.8 | 4.8 0 | 0 | 0 0MS - good bad bad 0MS MTX - U2 - nc nc U2 C

12/19

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 CON 155613 2GD - >> 155613 560.85 20713.87 10643.42 2GD - >> 10643.42 332.87 | 20275.25 | 10304.06 144.09 | 20090.29 | 10117.19 191.92 | 20092.92 | 10142.42 2GD - 2GD MTX - U2 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 MED 17600 1 = > 17600 9.23 61.23 35.23 2XR - x - | - | - - | - | - - | - | - 2XR 2XR MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 PAN 8406 0MS = ≈ 8406 30 35 32.5 0MS - 35.7 18 | 21 | 19.5 6 | 7 | 6.5 6 | 7 | 6.5 0MS - good poor poor 0MS MTX - U1 - nc nc U1 C

12/19

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 ALP 249971.68 2GD - x 249971.68 9615.13 9848.26 9731.70 2GD = x 9731.70 6267.09 | 8246.39 | 7256.74 75.24 | 302.94 | 189.09 368.52 | 689.52 | 529.02 2GD = 2GD MTX - U2 - nc nc U2 D

03/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 ALP 50 | 200 | - 6000 | 7900 | - 100 | 400 | - 2XA - poor poor poor 2XA 3XA - U2 - U2 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.