Article 17 web tool

Log in
Article 17 > Habitat summary

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, Freshwater habitats, 3240 Alpine rivers and their ligneous vegetation with Salix elaeagnos, All bioregions. Show all Freshwater 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 35
5 0.28 1.98
0.32 N/A 9.41
40.75 40.75 81.50
N/A N/A 66.91
2.40 2.40 N/A
2750 225 225
15.15 5.15 N/A
1.11 0.27 N/A
1.82 4.02 0.54
0.03 0.04 N/A
0.37 0.09 0.22
2.44 0.68 0.40
4.75 4.75 4.75
18.53 2.59 0.50
1400 275 25
N/A N/A 5.92
3.53 1.58 22.46
N/A N/A N/A
1.21 N/A 0.13
1.66 1.38 0.06
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 15600 12.47 = ≈ 20 50 N/A estimate b 0.87 - > N/A - N/A N/A - N/A 20 - 50 U1 x poor poor poor U1 U1 x U1 - noChange noChange 13000 a 16.77
DE ALP 3638 2.91 + ≈ 5 9 7 estimate b 0.17 + > 3.80 - 6.20 0.20 - 0.35 1.50 - 2.45 U1 = good poor poor U1 U1 + U1 = noChange genuine 3700 b 4.77
ES ALP 15300 12.23 = ≈ N/A N/A 9.73 estimate b 0.24 u ≈ 0.32 - 0.32 N/A - N/A 9.41 - 9.41 XX x unk unk unk XX XX FV N/A method method 7200 b 9.29
FR ALP 28400 22.70 = ≈ N/A N/A 81.50 estimate c 2.02 - > N/A - 81.50 N/A - 81.50 81.50 - 81.50 U1 - good poor poor U1 U1 - U1 + noChange noChange 15100 b 19.48
IT ALP 41800 33.41 + x 63.77 70.04 N/A estimate b 1.66 + > N/A - N/A N/A - N/A 63.77 - 70.04 XX x unk poor unk XX U1 + U1 - method method 26400 b 34.06
PL ALP 6700 5.35 = ≈ N/A N/A 4.80 estimate b 0.12 = ≈ 2.10 - 2.70 2.10 - 2.70 N/A - N/A U2 = poor poor bad U2 U2 = U1 x genuine knowledge 3800 b 4.90
RO ALP 8000 6.39 - x N/A N/A 3800 interval b 94.37 + ≈ 2500 - 3000 50 - 400 50 - 400 FV u poor poor poor U1 U1 x U1 N/A knowledge knowledge 2500 b 3.23
SI ALP 3094 2.47 = ≈ N/A N/A 20.30 estimate b 0.50 - >> 10 - 20.30 N/A - 10.30 N/A - N/A U1 - good bad poor U2 U2 - U2 = noChange genuine 3200 c 4.13
SK ALP 2588.48 2.07 = ≈ N/A N/A 1.39 estimate b 0.03 = ≈ 1.11 - 1.11 0.27 - 0.27 N/A - N/A U1 u good poor poor U1 U1 = U1 = N/A N/A 2600 b 3.35
ES ATL 14000 100 = x N/A N/A 6.37 minimum b 100 = ≈ 1.82 - 1.82 4.02 - 4.02 0.54 - 0.54 U2 = unk unk good XX U2 = U1 = knowledge noChange 6300 b 100
AT CON 2400 3.28 - > N/A N/A 0.07 estimate a 0 - >> 0.03 - 0.03 0.04 - 0.04 N/A - N/A U2 - bad bad bad U2 U2 - U2 - knowledge knowledge 1800 a 4.74
CZ CON 3700 5.06 u ≈ N/A N/A 0.68 estimate a 0.02 = ≈ 0.37 - 0.37 0.09 - 0.09 0.22 - 0.22 U1 = good poor poor U1 U1 = U1 + noChange genuine 2000 a 5.26
DE CON 4235 5.79 + > 3.21 3.81 3.51 estimate a 0.10 + > 2.16 - 2.71 0.61 - 0.74 0.30 - 0.50 U1 = poor poor poor U1 U1 + U1 = noChange genuine 3100 b 8.16
FR CON 9500 13 = ≈ 9.50 9.50 N/A estimate c 0.27 - > N/A - 9.50 N/A - 9.50 N/A - 9.50 U1 - good poor unk U1 U1 - U1 = noChange noChange 2500 b 6.58
IT CON 45700 62.52 + x 53.08 57.91 N/A estimate b 1.60 - > 18.53 - 18.53 2.59 - 2.59 0.50 - 0.50 U1 - unk poor poor U1 U1 - U1 - method method 25000 b 65.79
RO CON 6100 8.34 = ≈ N/A N/A 3400 interval b 97.84 + > N/A - 2800 N/A - 550 N/A - 50 U1 u poor poor poor U1 U1 - N/A N/A knowledge knowledge 2400 b 6.32
SI CON 1465 2 = >> N/A N/A 5.92 estimate b 0.17 - >> N/A - N/A N/A - N/A 5.92 - 5.92 U1 - bad bad poor U2 U2 - U2 - noChange noChange 1200 c 3.16
ES MED 37900 49.45 x x N/A N/A 27.57 estimate b 38.70 x > 3.53 - 3.53 1.58 - 1.58 22.46 - 22.46 XX x unk unk unk XX U1 x U1 = noChange noInfo 17100 b 44.76
FR MED 22100 28.84 = ≈ 30 45 N/A estimate c 52.63 - x N/A - N/A N/A - N/A N/A - N/A U1 - poor bad bad U2 U2 - U1 = noChange noChange 9000 b 23.56
GR MED 442 0.58 = ≈ N/A N/A 1.34 minimum b 1.88 = ≈ 1.21 - 1.21 N/A - N/A 0.13 - 0.13 FV = good good good FV FV = FV N/A noChange noChange 4100 b 10.73
IT MED 16200 21.14 + x 2.23 7.45 N/A estimate b 6.79 + < 1.66 - 1.66 1.38 - 1.38 0.06 - 0.06 U2 x good good bad U2 U2 = XX N/A noInfo noInfo 8000 b 20.94
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 ALP 125120.48 1 + ≈ 125120.48 206.48 246.75 226.62 2GD - > 226.42 17 | 112 | 64.5 2.57 | 95.12 | 48.85 176.18 | 213.4 | 194.8 2GD x good poor unk 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 ATL 14000 0MS = x 6.37 6.37 6.37 0MS = ≈ 6.37 1.82 | 1.82 | 1.82 4.02 | 4.02 | 4.02 0.54 | 0.54 | 0.54 0MS = unk unk unk 0MS MTX = U1 = nong nc U1 D

04/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 CON 73100 2GD x > 73100 72.76 77.59 75.18 2GD + > 21.09 | 31.35 | 26.12 3.33 | 3.46 | 3.40 7.44 | 16.14 | 11.79 2GD - unk poor poor 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 MED 76642 1 x ≈ 76642 61.14 81.36 71.25 1 - > 71.25 6.40 | 6.40 | 6.40 2.96 | 2.96 | 2.96 22.65 | 22.65 | 22.65 2XA x poor bad bad 2XA MTX - U1 = nong nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

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.