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 IT, LT

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, Bonasa bonasia. 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
AT estimateExpert
BE estimatePartial
BG estimatePartial
CZ completeSurvey
DE estimateExpert
EE estimatePartial
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IT estimateExpert
LT estimatePartial
LU estimateExpert
LV completeSurvey
PL estimateExpert
RO estimateExpert
SE estimatePartial
SI estimatePartial
SK estimatePartial
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
AT completeSurvey
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
EE estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
PL absentData
RO completeSurvey
SE estimatePartial
SI absentData
SK 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
AT
BE
BG
CZ
DE
EE
FI
FR
GR
HR
HU
IT
LT
LU
LV
PL
RO
SE
SI
SK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
10000
20000
N/A
p
estimate
method
2.1
2007-2018 x N/A 1981-2018 x N/A 30800 3.2 2007-2018 u N/A 1981-2018 x N/A # 29600 3.1
BE
0
5
0
p
estimate
knowledge
2008-2018 - -100 | -80 | (-100) 1973-2018 - -100 | -98 | (-100) 681 # 2008-2018 - N/A | N/A | (-98) 1973-2018 - N/A | N/A | (-98) 700
BG
3000
5000
N/A
p
estimate
noChange
0.6
2000-2018 - -10 | -5 | (N/A) 1980-2018 - -10 | -5 | (N/A) 15708 1.6 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 16200 1.7
CZ
1000
1200
N/A
p
estimate
knowledge
0.1
2007-2018 x N/A 1980-2018 x N/A # 9700 1.0 2002-2016 = N/A | N/A | (7) 1986-2016 + N/A | N/A | (10) # 8700 0.9
DE
900
1300
N/A
p
estimate
genuine
0.1
2004-2016 - N/A | N/A | (-11) 1980-2016 = N/A | N/A | (-9) 7086 0.7 2004-2016 - -30 | -11 | (N/A) 1980-2016 - -100 | -66 | (N/A) 8000 0.8
EE
20000
25000
N/A
p
estimate
genuine
3.1
2007-2018 - -85 | -40 | (N/A) 1983-2018 - -123 | -92 | (N/A) 38900 4.0 2007-2018 = N/A | N/A | (5) 1980-2018 = N/A | N/A | (-2) 24600 2.6
FI
414379
695304
522306
p
mean
method
#
73.2
2007-2018 - 42 | 49 | (46) 1987-2018 - 21 | 33 | (27) 230200 23.8 N/A N/A N/A 1980-2010 - 9 | 9 | (N/A) 230200 24.3
FR
5000
12000
6000
p
estimate
method
0.8
2007-2018 u -20 | 0 | (-10) 1980-2018 - -60 | -40 | (-50) 50900 5.3 2007-2018 - -15 | -5 | (N/A) 1980-2018 - -60 | -60 | (-60) # 41200 4.4
GR
200
300
N/A
p
estimate
knowledge
2007-2018 x N/A 1980-2018 x N/A 9500 1.0 2007-2018 x N/A 1980-2018 x N/A 8700 0.9
HR
2000
3200
N/A
p
estimate
N/A
0.4
2007-2018 x N/A 1980-2018 x N/A 6496 0.7 2007-2018 x N/A 1980-2018 x N/A 11200 1.2
HU
24
40
N/A
p
estimate
genuine
#
2007-2018 - N/A | N/A | (-60) 1978-2018 - -97 | -95 | (N/A) # 900 2007-2018 - N/A | N/A | (-13) 1980-2018 - -91 | -55 | (N/A) # 900 0.1
IT
5000
6000
N/A
p
estimate
noChange
0.8
2003-2018 x N/A 1993-2018 = N/A 28100 2.9 2007-2018 = N/A 1993-2018 = N/A 27800 2.9
LT
8000
15000
N/A
p
estimate
knowledge
1.6
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 22500 2.3 2006-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 22200 2.4
LU
3
7
N/A
p
estimate
genuine
#
2007-2018 - -90 | -80 | (N/A) 1980-2018 - -100 | -90 | (N/A) 17 # 2007-2018 - -95 | -50 | (N/A) 1980-2018 - -100 | -95 | (N/A) 300
LV
4858
24069
10813
p
interval
genuine
1.5
2005-2018 - -89.7 | -59.4 | (-79.1) 1980-2018 x N/A 37800 3.9 2000-2017 - N/A | N/A | (-18) 1980-2017 = N/A | N/A | (1) 37300 3.9
PL
15000
20000
N/A
p
estimate
noChange
2.5
2007-2018 x N/A 1980-2018 x N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
10000
22500
N/A
p
estimate
knowledge
2.3
2007-2018 x N/A 1980-2018 x N/A 44700 4.6 2007-2018 x N/A 1980-2018 x N/A 44700 4.7
SE
49000
81000
64000
p
estimate
genuine
9.0
2007-2018 - -60 | -34 | (-48) 1980-2018 - -74 | -9 | (-52) 405800 42.0 2007-2018 = N/A 1980-2018 - -10 | -5 | (-5) 404800 42.8
SI
1000
2000
N/A
p
estimate
noChange
0.2
2001-2018 - -30 | -20 | (N/A) 1980-2018 - -50 | -30 | (N/A) 2000 # 0.2 2007-2018 x N/A 1980-2018 = N/A | N/A | (3) # 1900 0.2
SK
9000
15000
N/A
p
estimate
knowledge
1.7
2007-2018 = N/A 1980-2018 = N/A 24710 2.6 2007-2018 = N/A 1980-2018 = N/A 26700 2.8
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 548000 927000 p - - 921000 NE NE Threatened C B Secure Bonasa bonasia