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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, 1170 Reefs, 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 477 1098.50
212.10 225.40 N/A
N/A 1076.60 4344.90
N/A N/A 1766.17
15565 1539 N/A
619 N/A 21528
319 319 20
N/A N/A N/A
N/A N/A 410
50087.10 16766 7261.96
733.79 368.50 740
N/A 842 4113.20
1285 15 404
N/A N/A 2686.50
176.30 N/A 284.70
N/A 984.50 N/A
108 N/A N/A
N/A N/A 7200
N/A N/A N/A
4400 1100 N/A
N/A N/A 2716.25
N/A N/A N/A
104 N/A N/A
N/A N/A 6147.25
N/A N/A 769
26 1014 260
N/A N/A 150
N/A N/A N/A
123.08 N/A 2.17
0.07 0.04 N/A
1.20 N/A 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 1465 0.34 = 1465 N/A N/A 1465 estimate b 1.17 = 1465 N/A - N/A 221 - 733 732 - 1465 U2 = unk unk unk XX U2 = U2 x noChange noChange 4500 b 0.79
DE MATL 7299 1.68 = > 437.50 437.50 437.50 estimate b 0.35 + > 148.47 - 275.73 161.77 - 289.03 N/A - N/A U2 - poor poor bad U2 U2 = U2 x noChange knowledge 5400 b 0.95
DK MATL 52707 12.12 + 1086.20 5421.40 N/A estimate b 2.61 + > N/A - N/A 1076.60 - 1076.60 4344.90 - 4344.90 U2 = good poor bad U2 U2 = U2 = genuine genuine 37700 b 6.62
ES MATL 59400 13.65 u N/A N/A 1766.17 estimate b 1.41 u N/A - N/A N/A - N/A 1766.17 - 1766.17 XX u unk unk unk XX XX XX N/A noChange noChange 32700 b 5.74
FR MATL 36600 8.41 = 10000 24208 N/A estimate d 13.70 = 9100 - 22030 900 - 2178 N/A - N/A U1 = good good poor U1 U1 = U1 x N/A knowledge 24500 b 4.30
IE MATL 143900 33.08 = 143900 N/A N/A 22147 estimate b 17.74 = 22147 619 - 619 N/A - N/A 21528 - 21528 U1 = good good poor U1 U1 = U2 - knowledge knowledge 140500 b 24.67
NL MATL 3000 0.69 = N/A N/A 658 estimate b 0.53 = N/A - 638 N/A - 638 20 - 20 U2 u good good poor U1 U2 = U1 x knowledge method 2900 a 0.51
PT MATL 35400 8.14 = N/A N/A 4140 estimate b 3.32 = N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 - U1 x noChange method 26300 c 4.62
SE MATL 14300 3.29 = 14300 N/A N/A 410 estimate b 0.33 - 410 N/A - N/A N/A - N/A 410 - 410 U1 = good poor bad U2 U2 - U2 = noChange genuine 10100 b 1.77
UK MATL 80946 18.61 u x N/A N/A 73482.21 estimate b 58.85 u x 50087.10 - 50087.10 16766 - 16766 7261.96 - 7261.96 U1 - unk poor poor U1 U1 x U1 - noChange method 284900 b 50.03
DE MBAL 9744 3.96 = 1798.50 1886.08 1842.29 estimate b 10.44 - 1842.29 623.29 - 844.29 258 - 479 740 - 740 U1 = good poor poor U1 U1 - U1 x noChange knowledge 11100 b 5.66
DK MBAL 29450 11.97 + 842 4955.20 N/A estimate b 16.42 + > N/A - N/A 842 - 842 4113.20 - 4113.20 U2 = good poor bad U2 U2 = U2 = genuine genuine 28100 b 14.32
EE MBAL 24700 10.04 = N/A N/A 1704 estimate b 9.65 = 1276 - 1294 6 - 24 386 - 422 FV = good good good FV FV = FV N/A noChange noChange 17200 b 8.77
FI MBAL 75700 30.78 = 2451 2922 2451 estimate a 13.89 = N/A - N/A N/A - N/A 2451 - 2922 XX - good good poor U1 U1 = U1 - noChange method 66600 a 33.94
LT MBAL 461 0.19 x N/A N/A 461 minimum c 2.61 x 176.30 - 176.30 N/A - N/A 284.70 - 284.70 XX x good good unk FV FV x FV N/A knowledge knowledge 1900 a 0.97
LV MBAL 2404 0.98 u x N/A N/A 984.50 estimate a 5.58 u x N/A - N/A 984.50 - 984.50 N/A - N/A U2 u poor poor unk XX U2 x U2 x noChange noChange 3100 b 1.58
PL MBAL 1500 0.61 = N/A N/A 108 minimum b 0.61 = 108 108 - 108 N/A - N/A N/A - N/A FV = good good good FV FV = XX N/A N/A knowledge 900 b 0.46
SE MBAL 102000 41.47 = 102000 N/A N/A 7200 estimate b 40.79 = 7200 N/A - N/A N/A - N/A 7200 - 7200 U1 - good good bad U2 U2 - U1 - knowledge noChange 67300 b 34.30
BG MBLS 1 0.01 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 XX N/A method method N/A d 0
RO MBLS 16600 99.99 = 3000 8000 N/A estimate c 100 = 2400 - 6400 600 - 1600 N/A - N/A FV = good good poor U1 U1 = U1 - noChange noChange 14600 b 100
ES MMAC 27300 11.64 u N/A N/A 2716.25 estimate b 5.59 u N/A - N/A N/A - N/A 2716.25 - 2716.25 XX u unk unk unk XX XX XX N/A noChange noChange 20200 b 30.61
PT MMAC 207200 88.36 = N/ N/A N/A 45900 estimate c 94.41 = N/ N/A - N/A N/A - N/A N/A - N/A XX N/A N/A N/A N/A XX XX FV N/A N/A N/A 45800 c 69.39
CY MMED 401 0.14 = N/A N/A 104 estimate b 1.18 = 104 - 104 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 700 a 0.34
ES MMED 50200 17.89 u N/A N/A 6147.25 estimate b 69.53 u N/A - N/A N/A - N/A 6147.25 - 6147.25 XX u unk unk unk XX XX XX N/A noChange noChange 34500 b 16.58
FR MMED 20400 7.27 + N/A N/A 769 estimate c 8.70 = N/A - N/A N/A - N/A 769 - 769 FV = good good unk FV FV + FV N/A noChange noChange 12400 b 5.96
GR MMED 71231.91 25.39 = 1100 1500 N/A estimate b 14.70 = 22 - 30 858 - 1170 220 - 300 U2 x good good poor U2 U2 = U2 - noChange method 87900 b 42.24
HR MMED 27700 9.87 = N/A N/A 150 estimate c 1.70 = x N/A - N/A N/A - N/A 150 - 150 U1 u good unk poor U1 U1 = N/A N/A N/A 18700 c 8.99
IT MMED 109700 39.10 x N/A N/A 244.88 minimum b 2.77 x N/A - N/A N/A - N/A N/A - N/A XX x good good unk FV FV x FV N/A noChange noInfo 48400 c 23.26
MT MMED 777 0.28 = N/A N/A 125.25 estimate a 1.42 = 120.92 - 125.25 N/A - N/A N/A - 4.33 FV = good good good FV FV = FV N/A knowledge knowledge 4900 a 2.35
SI MMED 154 0.05 = 154 N/A N/A 0.10 estimate a 0 = 0.10 0.05 - 0.08 0.02 - 0.05 N/A - N/A U1 = good good poor U1 U1 = XX N/A knowledge noChange 400 b 0.19
UK MMED 4 0 = 4 N/A N/A 1.20 estimate a 0.01 = 1.20 1.20 - 1.20 N/A - N/A N/A - N/A FV = good good good FV FV = U1 = noChange noChange 200 b 0.10
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 435017 2XA + x 115592.07 134135.27 124863.67 2XA x x 59954.54 | 73649.80 | 66802.17 19125.32 | 21680.58 | 20402.95 36063.03 | 36796.03 | 36429.53 1 - 2XA MTX x U2 - nong nong XX D

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MBAL 245959.00 1 = ≈ 245959 15549 20220.78 17649.39 1 = < 17939.25 2183.59 | 2422.59 | 2303.09 2090.50 | 2329.50 | 2210.00 15174.90 | 15681.90 | 15428.40 2XA = 2XA MTX - U1 - nong nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MBLS 27200 2XA x x 9736 2XA x x - | - | - - | - | - 0 | 0 | 0 2XA x 0EQ MTX x U1 - nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MMAC 234500 0EQ = ≈ 234500 48616.25 48616.25 48616.25 0EQ = ≈ 48616.25 0 | 0 | 0 0 | 0 | 0 2716.25 | 2716.25 | 2716.25 0EQ x 0EQ MTX x FV N/A nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State: UK

EEA-ETC/BD
EU28 MMED 280567.91 2XA x ≈ 280567.91 8841.68 2XA x ≈ 8841.68 - | - | - - | - | - - | - | - 2XA = 2XA MTX x XX = nc nong XX D

01/20

EEA-ETC/BD

Institution: -

Member State: UK

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.