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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, Coastal habitats, 1110 Sandbanks which are slightly covered by sea water all the time, 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)
2750 N/A 402
2475.45 2062.50 N/A
105.03 1095.10 205
N/A N/A 63.49
N/A N/A 16200
247 N/A N/A
2350 8250 1300
N/A N/A 1444
N/A N/A 600
10985.50 11319.50 1586.76
232.74 155.16 387.90
9.20 265.70 30.50
940.25 59.75 173
329.50 216.50 N/A
N/A N/A 53.30
537 N/A N/A
N/A N/A 8700
N/A N/A N/A
2770 780 N/A
N/A N/A 84.05
N/A N/A N/A
164.60 N/A N/A
N/A N/A 286.98
N/A N/A 1200
1750 2100 3150
N/A N/A 375.91
N/A N/A N/A
0.89 N/A N/A
0.01 0 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 3152 1.32 = 3152 N/A N/A 3152 estimate a 4.97 = 3152 2500 - 3000 N/A - N/A 152 - 652 U1 = good good unk FV U1 = U1 x noChange noChange 4200 a 2.32
DE MATL 8446 3.55 + 4537.95 4537.95 4537.95 estimate b 7.15 + 4537.95 1856.70 - 3094.20 1443.75 - 2681.25 N/A - N/A U2 x good good bad U2 U2 = U2 = noChange noChange 9000 b 4.97
DK MATL 20863 8.76 = x N/A N/A 1405.10 minimum c 2.21 - x 105.03 - 105.03 1095.10 - 1095.10 205 - 205 U2 + good unk bad U2 U2 + U2 + genuine genuine 12800 c 7.07
ES MATL 17400 7.31 u > N/A N/A 63.49 minimum b 0.10 u > N/A - N/A N/A - N/A 63.49 - 63.49 XX u unk unk unk XX XX U1 + method method 11700 b 6.46
FR MATL 29200 12.26 = 10000 22400 N/A estimate c 25.54 = > N/A - N/A N/A - N/A 10000 - 22400 U2 = good bad bad U2 U2 = U2 - noChange noChange 29300 b 16.19
IE MATL 2800 1.18 = 2800 N/A N/A 247 estimate b 0.39 = 247 247 - 247 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2700 b 1.49
NL MATL 23600 9.91 = N/A N/A 11900 estimate a 18.76 = N/A - 4700 5900 - 10600 1300 - 1300 U2 + good good bad U2 U2 + U1 + method noChange 21800 a 12.04
PT MATL 11900 5 = N/A N/A 1444 estimate a 2.28 = N/A - N/A N/A - N/A 1444 - 1444 U1 - good good poor U1 U1 - U1 - noChange noChange 11300 b 6.24
SE MATL 15000 6.30 = 15000 N/A N/A 600 estimate b 0.95 = >> N/A - N/A N/A - N/A 600 - 600 U1 = good good poor U1 U2 = U2 - noChange knowledge 8200 b 4.53
UK MATL 105785 44.42 = 105785 N/A N/A 23890.63 estimate b 37.66 u 23891 10985.50 - 10985.50 11319.50 - 11319.50 1586.76 - 1586.76 U2 - good poor bad U2 U2 x U1 = method method 70000 b 38.67
DE MBAL 5439 3.49 = 772.13 779.47 775.80 estimate b 6.42 = 186.19 - 279.29 108.61 - 201.71 387.90 - 387.90 U1 = good good poor U1 U1 = U1 - noChange method 5400 b 5.25
DK MBAL 16163 10.37 = x N/A N/A 305.40 minimum c 2.53 - x 9.20 - 9.20 265.70 - 265.70 30.50 - 30.50 U2 + good unk bad U2 U2 + U2 + N/A N/A 12000 c 11.67
EE MBAL 19000 12.19 = N/A N/A 1173 estimate b 9.70 = 903.90 - 976.60 23.40 - 96.10 100 - 246 FV = good good good FV FV = FV N/A noChange noChange 13500 b 13.13
FI MBAL 32000 20.52 = 546 734 546 estimate a 4.52 = 140 - 519 27 - 406 N/A - N/A U1 = good good poor U1 U1 = U1 - noChange genuine 21400 a 20.82
LV MBAL 622 0.40 x x N/A N/A 53.30 estimate c 0.44 x x N/A - N/A N/A - N/A 53.30 - 53.30 XX x unk unk unk XX XX N/A N/A knowledge knowledge 500 b 0.49
PL MBAL 2300 1.48 = N/A N/A 537 estimate b 4.44 = 537 537 - 537 N/A - N/A N/A - N/A FV = good good good FV FV = XX N/A knowledge knowledge 1900 b 1.85
SE MBAL 80400 51.56 = 80400 N/A N/A 8700 estimate b 71.96 = 8700 N/A - N/A N/A - N/A 8700 - 8700 U1 - good good bad U2 U2 - U1 - knowledge noChange 48100 b 46.79
BG MBLS 1 0.02 x x N/A N/A N/A minimum c 0 x x N/A - N/A N/A - N/A N/A - N/A XX x poor poor poor U1 U1 x U1 - method method N/A d 0
RO MBLS 5500 99.98 = 3000 4100 N/A estimate c 100 = 2340 - 3200 660 - 900 N/A - N/A FV x good good poor U1 U1 = U1 - noChange knowledge 5500 b 100
ES MMAC 9400 98.95 u > N/A N/A 84.05 minimum c 98.82 u > N/A - N/A N/A - N/A 84.05 - 84.05 XX x unk unk unk XX XX U1 + method method 6500 b 98.48
PT MMAC 100 1.05 - x N/A N/A 1 estimate c 1.18 - x N/A - N/A N/A - N/A N/A - N/A U2 - poor poor poor U2 U2 x XX N/A knowledge N/A 100 b 1.52
CY MMED 199 0.16 = N/A N/A 164.60 estimate b 1.77 = 164.60 - 164.60 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange N/A a 0
ES MMED 24800 20.45 u > N/A N/A 286.98 minimum b 3.08 u > N/A - N/A N/A - N/A 286.98 - 286.98 XX x unk unk unk XX XX U1 + method method 16500 b 17.95
FR MMED 13500 11.13 = N/A N/A 1200 minimum b 12.89 = N/A - N/A N/A - N/A 1200 - 1200 U1 = good good poor U1 U1 = U2 - knowledge knowledge 13400 b 14.58
GR MMED 10500 8.66 = 6000 8000 N/A estimate b 75.16 = 1500 - 2000 1800 - 2400 2700 - 3600 U1 - good good poor U1 U1 - FV N/A knowledge method 11100 b 12.08
HR MMED 12600 10.39 = N/A N/A 375.91 estimate c 4.04 x x N/A - N/A N/A - N/A 375.91 - 375.91 XX x good unk unk XX XX N/A N/A N/A 12600 c 13.71
IT MMED 59500 49.06 x N/A N/A 284.54 minimum b 3.06 x x N/A - N/A N/A - N/A N/A - N/A XX x good unk unk XX XX U1 x knowledge N/A 37400 c 40.70
MT MMED 24 0.02 = N/A N/A 0.89 estimate a 0.01 = 0.89 - 0.89 N/A - N/A N/A - N/A XX = good good unk FV FV = FV N/A noChange noChange 600 a 0.65
SI MMED 155 0.13 = 155 N/A N/A 0.01 estimate a 0 = 0.01 0.01 - 0.01 0 - 0.01 N/A - N/A FV = good unk unk XX FV = FV N/A noChange noChange 300 b 0.33
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 238146 1 = ≈ 238146 63440.17 2XA = - | - | 18912.96 - | - | 22727.07 - | - | 21801.25 1 - 2XA MTX + U2 + nc nc U2 B1

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MBAL 155924 1 = ≈ 155924 12086.83 12282.17 12090.50 1 = ≈ 12090.50 1776.29 | 2321.09 | 2048.69 424.71 | 969.51 | 697.11 9271.70 | 9417.70 | 9344.70 2XA = 2XA MTX - U1 - nong nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MBLS 10100 2XA x x 3881 2XA = x 2340.00 | - | - 660.00 | - | - 331 | 0 | 0 2XA x 0EQ MTX = U1 - nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MMAC 9500 2XA x > 9500 85.05 2XA > 85.05 - | - | - - | - | - - | - | 85.05 2XA x 2XA MTX x U1 + nong nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MMED 121278 1 = < 123758 8312.93 9312.93 1 = 9312.93 - | - | - - | - | - - | - | - 2XA 2XA MTX - U1 + nc nong U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
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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.