Article 17 web tool

Log in

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, Coastal habitats, 1130 Estuaries, All bioregions. Show all Coastal 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)
N/A N/A 55.70
263.88 791.64 N/A
N/A 17.50 N/A
10.08 7.25 221.75
N/A N/A 1600
178 583 N/A
N/A 437 N/A
N/A N/A N/A
N/A N/A 70
1672.55 816.29 803.49
N/A 202.28 487.08
N/A 2.10 N/A
56.50 0.55 N/A
373.50 393.50 N/A
76.10 N/A N/A
N/A 87.09 N/A
N/A N/A 600
N/A N/A 2.95
550 N/A N/A
N/A N/A 123
N/A N/A 19
N/A 151.09 604.35
N/A N/A 75.71
N/A N/A N/A
0.12 0.04 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
BE MATL 2400 3.86 = 55.70 55.70 55.70 estimate a 0.74 + >> N/A - N/A N/A - N/A 55.70 - 55.70 U2 x good poor unk U1 U2 = U2 = noChange noChange 200 a 0.27
DE MATL 4866 7.82 = 4866 1050.26 1060.76 1055.51 estimate a 14.02 = 184.72 - 343.04 712.47 - 870.80 N/A - N/A U2 x good good bad U2 U2 = U2 = noChange noChange 2400 b 3.26
DK MATL 356 0.57 + N/A N/A 17.50 minimum c 0.23 = N/A - N/A 17.50 - 17.50 N/A - N/A U2 x good unk bad U2 U2 x U2 x noChange noChange 700 b 0.95
ES MATL 9600 15.43 = N/A N/A 238.32 estimate a 3.17 x x 9.33 - 10.83 5.78 - 8.71 220.29 - 223.21 XX x unk unk unk XX XX U1 x method noChange 8800 b 11.96
FR MATL 15100 24.27 = N/A N/A 1600 estimate c 21.26 = > N/A - N/A N/A - N/A 1600 - 1600 U2 u good bad bad U2 U2 = U2 = noChange noChange 11200 a 15.22
IE MATL 16300 26.20 = 16300 N/A N/A 761 estimate b 10.11 = 761 178 - 178 583 - 583 N/A - N/A U1 - good good poor U1 U1 - U1 + noChange genuine 13800 a 18.75
NL MATL 1700 2.73 = >> N/A N/A 437 estimate a 5.81 = >> N/A - N/A 437 - 437 N/A - N/A U2 - bad bad bad U2 U2 - U2 - noChange noChange 1300 a 1.77
PT MATL 3100 4.98 = 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 noChange 3000 c 4.08
SE MATL 5500 8.84 = 5500 N/A N/A 70 estimate b 0.93 = 70 N/A - N/A N/A - N/A 70 - 70 U2 = good good bad U2 U2 = U1 = knowledge noChange 3000 b 4.08
UK MATL 3292 5.29 = 3292 N/A N/A 3292 estimate b 43.74 u 3292 1672.55 - 1672.55 816.29 - 816.29 803.49 - 803.49 U2 - good poor bad U2 U2 x U2 - noChange method 29200 c 39.67
DE MBAL 3521 6.88 = 3521 663.77 714.94 689.36 estimate b 30.25 = 704.34 N/A - N/A 202.28 - 202.28 463.66 - 510.50 U2 = good poor bad U2 U2 = U2 - noChange method 3200 b 9.94
DK MBAL 64 0.13 + N/A N/A 2.10 minimum c 0.09 + N/A - N/A 2.10 - 2.10 N/A - N/A U2 x good good bad U2 U2 x FV N/A knowledge knowledge 200 b 0.62
EE MBAL 600 1.17 = N/A N/A 57 estimate a 2.50 = 56 - 57 0.01 - 1.10 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 700 a 2.17
FI MBAL 17900 34.99 = 767 767 767 estimate a 33.66 = 46 - 701 66 - 721 N/A - N/A U2 - good good bad U2 U2 = U2 = noChange noChange 11000 a 34.16
LT MBAL 76.10 0.15 = 76.10 N/A N/A 76.10 estimate a 3.34 = 76.10 76.10 - 76.10 N/A - N/A N/A - N/A XX u good good unk FV FV = U1 = method noChange 500 a 1.55
PL MBAL 5200 10.16 x x 87.09 87.09 N/A minimum a 3.82 x x N/A - N/A 87.09 - 87.09 N/A - N/A U1 x unk poor poor U1 U1 x XX N/A knowledge knowledge 2900 a 9.01
SE MBAL 23800 46.52 = 23800 N/A N/A 600 estimate b 26.33 = 600 N/A - N/A N/A - N/A 600 - 600 U1 = good good bad U2 U2 = U1 = knowledge noChange 13700 b 42.55
BG MBLS 2200 64.71 = 2200 N/A N/A 2.95 minimum b 0.53 = 2.95 N/A - N/A N/A - N/A 2.95 - 2.95 XX x poor poor poor U1 U1 x U1 = noChange noChange 1100 b 45.83
RO MBLS 1200 35.29 = 400 700 N/A estimate b 99.47 = 400 - 700 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1300 b 54.17
ES MMED 800 4.27 = x N/A N/A 123 minimum c 12.45 x x N/A - N/A N/A - N/A 123 - 123 XX x poor poor poor U1 U1 x U1 x noChange noChange 600 b 3.05
FR MMED 1800 9.60 = x N/A N/A 19 minimum c 1.92 - >> N/A - N/A N/A - N/A 19 - 19 XX - bad bad bad U2 U2 - U2 = noChange noChange 1800 a 9.14
GR MMED 4054.22 21.63 = N/A N/A 755.44 minimum b 76.46 = N/A - N/A 151.09 - 151.09 604.35 - 604.35 U1 x good good poor U1 U1 = U1 - noChange method 8900 b 45.18
HR MMED 2500 13.34 = N/A N/A 75.71 estimate b 7.66 = x N/A - N/A N/A - N/A 75.71 - 75.71 XX u good unk poor U1 U1 = N/A N/A N/A 2100 c 10.66
IT MMED 9500 50.67 x N/A N/A 14.69 minimum b 1.49 x N/A - N/A N/A - N/A N/A - N/A XX x good good unk FV FV x XX N/A knowledge noChange 6200 a 31.47
SI MMED 93 0.50 = 93 N/A N/A 0.17 estimate b 0.02 = 0.17 0.12 - 0.13 0.04 - 0.05 N/A - N/A U1 u good good poor U1 U1 = FV N/A genuine noChange 100 b 0.51
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 MATL 62214 1 = > 62214 7521.78 7532.28 7527.03 2GD = >> 7527.03 2044.59 | 2204.42 | 2124.51 2572.04 | 2733.3 | 2652.67 2749.5 | 2752.4 | 2750.9 2GD - good unk bad 2GD MTX x U2 - nc nong U2 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MBAL 51161.1 1 = ≈ 51161.1 2253.06 2304.23 2278.65 1 = ≈ 2293.63 178.10 | 834.1 | 506.1 357.5 | 1013.6 | 685.5 1063.7 | 1110.5 | 1087.1 2XA = good poor bad 2XA MTX = U2 = nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MBLS 3400 1 = ≈ 3400 402.95 702.95 552.95 1 = ≈ 552.95 - | - | - - | - | - - | - | - 2GD x unk good unk 2GD MTX x U1 = nc nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MMED 18747.22 1 x ≈ 18747.2 988.01 988.01 988.01 1 = > 988.01 - | - | - - | - | - - | - | - 2XA x good good poor 2XA MTX = XX - nong nong U2 D

04/20

EEA-ETC/BD

Institution: -

Member State:

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.