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.

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.

Current selection: 2013-2018, Picus canus. 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 estimatePartial
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
EE estimatePartial
FI completeSurvey
FR estimatePartial
GR estimateExpert
HR estimateExpert
HU estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
PL estimatePartial
RO estimatePartial
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
3600
7200
N/A
p
estimate
genuine
4.8
2007-2018 + N/A | N/A | (20) 1981-2018 x N/A 64100 5.6 2007-2018 + N/A | N/A | (24) 1981-2018 x N/A 60800 5.2
BE
4
14
9
p
estimate
genuine
#
2008-2018 - -77 | -20 | (-49) 1973-2018 x N/A 1713 # 0.1 2008-2018 = N/A 1973-2018 = N/A 1700 0.1
BG
6500
10000
N/A
p
estimate
knowledge
7.4
2000-2018 = 5 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 42791 3.8 2000-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 44800 3.9
CZ
4000
8000
N/A
p
estimate
genuine
5.4
2007-2018 + N/A | N/A | (7) 1982-2018 + N/A | N/A | (8) # 63300 5.5 2002-2016 + N/A | N/A | (24.94) 1986-2016 + N/A | N/A | (26.4) # 61600 5.3
DE
9500
13500
N/A
p
estimate
genuine
10.3
2004-2016 - N/A | N/A | (-12) 1980-2016 - N/A | N/A | (-38) 187925 16.5 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 191800 16.5
EE
3000
5000
N/A
p
estimate
noChange
3.6
2007-2018 = -26 | 49 | (N/A) 1980-2018 + 20 | 50 | (N/A) 33500 2.9 2007-2018 + 15 | 16 | (N/A) 1980-2018 + 24 | 28 | (N/A) 22800 2.0
FI
4913
6049
5438
p
interval
genuine
4.9
2007-2018 + 26 | 1238 | (337) 1980-2018 + 326 | 594 | (444) 72000 6.3 N/A N/A N/A 1980-2010 + 128 | 128 | (N/A) 72000 6.2
FR
2000
4000
N/A
p
estimate
method
2.7
2007-2018 - -23 | 0 | (N/A) 1980-2018 - -80 | -25 | (N/A) # 34600 3.0 2013-2018 - N/A | N/A | (-15) 1985-2012 - N/A | N/A | (-30) # 33900 2.9
GR
200
400
N/A
p
estimate
knowledge
0.3
2007-2018 x N/A 1980-2018 x N/A 50000 4.4 2007-2018 x N/A 1980-2018 x N/A 47000 4.0
HR
3500
4000
N/A
p
estimate
N/A
3.4
2007-2018 x N/A 1980-2018 x N/A 21783 1.9 2007-2018 x N/A 1980-2018 x N/A 53200 4.6
HU
2000
6000
N/A
p
estimate
knowledge
#
3.6
2007-2018 x N/A 1980-2018 x N/A # 28987 # 2.5 2007-2018 = N/A 1980-2018 x N/A # 29900 2.6
IT
700
1500
N/A
p
estimate
noChange
1.0
2007-2018 x N/A 1993-2018 + 40 | 50 | (N/A) 21400 1.9 2007-2018 + 45 | 50 | (N/A) 1993-2018 + 120 | 125 | (N/A) 20800 1.8
LT
2500
3300
N/A
p
estimate
genuine
2.6
2013-2018 + 10 | 60 | (N/A) 1980-2018 + 30 | 40 | (N/A) 21100 1.9 2006-2018 = 0 | 0 | (N/A) 1980-2018 + 400 | 500 | (N/A) 20700 1.8
LU
30
40
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 0 | (N/A) 464 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2100 0.2
LV
3000
5000
N/A
p
estimate
genuine
3.6
2008-2018 + 21.1 | 338.38 | (135.22) 1991-2018 + 251 | 258 | (N/A) 44600 3.9 2000-2017 + N/A | N/A | (18) 1980-2017 + N/A | N/A | (631) 44000 3.8
PL
3000
5000
N/A
p
estimate
noChange
3.6
2007-2018 x N/A 1980-2018 + 150 | 200 | (N/A) N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
30294
48182
N/A
p
interval
method
35.1
2008-2018 u -20 | 5 | (N/A) 1980-2018 x N/A 170400 14.9 2007-2018 = N/A 1980-2018 x N/A 169700 14.6
SE
1300
2600
1900
p
estimate
noChange
1.7
2007-2018 = -30 | 30 | (0) 1980-2018 + 50 | 150 | (100) 232600 20.4 2007-2018 = N/A 1980-2018 + 0 | 10 | (5) 232600 20.0
SI
3000
6000
N/A
p
estimate
noChange
4.0
2007-2018 x N/A 1980-2018 x N/A 11900 # 1.0 2007-2018 x N/A 1980-2018 + N/A | N/A | (77) # 10600 0.9
SK
2000
3000
N/A
p
estimate
noChange
2.2
2007-2018 = N/A 1980-2018 = N/A 38672 3.4 2007-2018 = N/A 1980-2018 = N/A 40800 3.5
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 84700 151000 p x x 1180000 NE NE Unknown E B Unknown Picus canus