Article 12 web tool

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Population status and trends at the EU and Member State levels

The Article 12 web tool provides an access to EU assessments and Member States’ data compiled as part of the Habitats Directive - Article 12 reporting process. The EU assessments have been carried out in EU 27 for the period 2008-2012 and in EU28 for the period 2013-2018.

Choose period, species and if relevant sub-specific unit.

Once a selection has been made the breeding distribution of the species can be visualized in a map.

The ‘Data sheet info’ includes notes for each assessment per species.

The ‘Audit trail’ includes the methods used for the EU assessment and justifications for decisions made by the assessors.

Warning: The map does not show the distribution for sensitive species in FR

Legend
+
Increasing
=
Stable
x
Unknown
-
Decreasing
F
Fluctuating
u
Uncertain

Codes ‘PT’, ‘ES ‘correspond to Portugal mainland (excluding Azores-PTAC and Madeira-PTMA) and Spain mainland (excluding Canary Islands-ESIC) respectively.
Similarly ‘UK’ stands for the United Kingdom of Great Britain and Northern Ireland (excluding Gibraltar-GIB).
The data from delayed delivery by Romania were not used for the EU population status assessment.

Sensitive spatial information for this species is not shown in the map. Current selection: 2013-2018, Grus grus. Show all
Data from Member States reports
MS Breeding population Breeding distribution Winter population Breeding area from
gridded maps (km2)
Ssp. / subsp. unit
Population size Population trend Distribution size Distribution trend Population size Population trend
Min
Mouse-over texts for entries below show "Method used" reported for population size as a whole:
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
CZ completeSurvey
DE completeSurvey
DK completeSurvey
EE estimatePartial
ES
FI completeSurvey
FR completeSurvey
GR
HR
IT
LT estimatePartial
LV estimatePartial
NL completeSurvey
PL completeSurvey
PT
SE estimatePartial
SK completeSurvey
UK completeSurvey
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude
Mouse-over texts for entries below show "Method used" reported for distribution surface area (in km²):
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES
FI completeSurvey
FR completeSurvey
GR
HR
IT
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT
SE estimatePartial
SK completeSurvey
UK completeSurvey
Area
% MS ST period ST direction ST magnitude LT period LT direction LT magnitude Min
Mouse-over texts below show "Method used" reported for population size value(s):
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
CZ
DE estimatePartial
DK
EE
ES completeSurvey
FI
FR completeSurvey
GR completeSurvey
HR estimateExpert
IT estimatePartial
LT
LV
NL
PL
PT completeSurvey
SE
SK
UK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
CZ
80
100
N/A
p
estimate
genuine
2007-2018 x N/A 1980-2018 x N/A # 16800 1.7 2002-2016 + N/A | N/A | (300) 1986-2016 + N/A | N/A | (2185.71) # 16700 1.6
DE
N/A
N/A
10000
p
estimate
genuine
6.8
2004-2016 + 58 | 91 | (74) 1980-2016 + 181 | 1000 | (N/A) 110504 10.9 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 41 | 180 | (N/A) 10000 15000 N/A i mean genuine 3.8 2003-2016 + 40 | 100 | (N/A) 1980-2016 + 181 | 1000 | (N/A) # keywintering & I 115800 11.4
DK
400
550
N/A
p
estimate
genuine
0.3
2004-2017 + 700 | 1000 | (N/A) 1980-2017 + 13200 | 18200 | (N/A) 15300 1.5 1996-2017 + N/A | N/A | (1430) 1974-2017 + N/A | N/A | (5000) # 15400 1.5
EE
7000
8000
N/A
p
estimate
noChange
5.1
2006-2017 = 11 | 28 | (N/A) 1980-2017 + 80 | 102 | (N/A) 50700 5.0 2007-2018 = 6 | 7 | (N/A) 1980-2018 + 38 | 59 | (N/A) 34700 3.4
ES
N/A N/A 221437 i estimate genuine 66.7 2007-2018 + N/A | N/A | (31.6) 1980-2018 + N/A | N/A | (1500) keywintering & I
FI
36854
51387
44854
p
interval
genuine
30.6
2007-2018 + 34 | 73 | (52) 1980-2018 + 279 | 662 | (438) 241200 23.9 N/A N/A N/A 1980-2010 + 46 | 46 | (N/A) 241000 23.7
FR
15
20
20
p
estimate
genuine
2006-2018 + N/A | N/A | (230) 1985-2013 + N/A | N/A | (1900) 1100 0.1 2009-2018 + N/A | N/A | (40) 1985-2018 + N/A | N/A | (1000) 73300 99000 86200 i mean noChange # 26.0 2007-2017 + 103 | 174 | (136) 1983-2018 + 3100 | 7400 | (4800) keywintering & I 1100 0.1
GR
5 30 N/A i minimum N/A 2007-2018 x N/A 1980-2018 x N/A keywintering & I
HR
400 1700 N/A i estimate N/A 0.3 2007-2018 x N/A 1980-2017 x N/A keywintering & I
IT
884 2467 N/A i estimate method # 0.5 2009-2015 + 220 | 620 | (N/A) 1991-2015 + 3300 | 9390 | (N/A) keywintering & I
LT
5000
8000
N/A
p
estimate
knowledge
4.4
2013-2018 + 0 | 5 | (N/A) 1980-2018 + 700 | 1600 | (N/A) 40100 4.0 2006-2018 + 10 | 20 | (N/A) 1980-2018 + 700 | 1600 | (N/A) 39100 3.9
LV
2800
10000
N/A
p
estimate
genuine
4.4
2005-2018 + 14.7 | 143.9 | (68.2) 1980-2017 + 2019 | 2085 | (N/A) 63000 6.2 2000-2017 + N/A | N/A | (25) 1980-2017 + N/A | N/A | (223) 61700 6.1
NL
5
24
N/A
p
estimate
genuine
2006-2017 + 589 | 1747 | (1041) 2001-2017 + 400 | 2300 | (N/A) # 1500 0.1 2001-2015 + N/A | N/A | (200) 1980-2015 + N/A | N/A | (200) # 1400 0.1
PL
23000
30000
N/A
p
mean
genuine
18.1
2007-2018 + 51 | 96 | (72) 1980-2018 + 900 | 1100 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
6591 11972 9171 i mean noChange # 2.8 2007-2018 + 14 | 69 | (39) 1985-2018 + 200 | 300 | (N/A) # keywintering & I
SE
39000
50000
44000
p
estimate
genuine
30.1
2007-2018 + 30 | 64 | (46) 1980-2018 + 240 | 659 | (409) 466200 46.2 2007-2018 = N/A 1980-2018 + 0 | 10 | (5) 465300 45.8
SK
2
10
N/A
i
interval
genuine
#
N/A
2007-2018 + 0 | 100 | (N/A) 1980-2018 + 0 | 100 | (N/A) 386 2013-2018 + 100 | 300 | (N/A) 1980-2018 + 100 | 300 | (N/A) 400
UK
N/A
N/A
28
p
mean
genuine
#
2001-2016 + N/A | N/A | (541) 1978-2016 + N/A | N/A | (2720) 2100 # 0.2 1989-2009 + 950 | 950 | (N/A) 1970-2009 + N/A 22500 2.2
EU population status assessments
Breeding population Breeding distribution Winter population EU population
status
Contribution
to Target 1
Season Previous status Ssp. / subsp. unit
Population size (min) Population size (max) Unit Short-term trend Long-term trend Area Short-term trend Long-term trend Population size (min) Population size (max) Unit Short-term trend Long-term trend Breeding Wintering
EU28 124000 169000 p + + 1000000 NE NE 312000 352000 i + + Secure Secure A B Secure Grus grus