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, Columba oenas. 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 estimateExpert
BG estimatePartial
CY
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimateExpert
UK 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
CY
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
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
AT
BE
BG
CY estimatePartial
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
NL
PL
PT
RO
SE
SI
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
AT
7500
10000
N/A
p
estimate
genuine
1.1
2007-2018 + N/A | N/A | (16) 1981-2018 x N/A 47400 3.1 2007-2018 + N/A | N/A | (20) 1981-2018 x N/A 44600 2.9
BE
25600
59000
42300
p
estimate
method
5.2
2008-2018 u -26 | 2 | (13) 1973-2018 + 320 | 867 | (593) 30656 # 2.0 2008-2018 = N/A 1973-2018 + N/A | N/A | (28.99) 32200 2.1
BG
250
450
N/A
p
estimate
noChange
2000-2018 - -40 | -20 | (N/A) 1980-2018 - -80 | -50 | (N/A) 18838 1.2 2000-2018 - -40 | -20 | (N/A) 1980-2018 - -90 | -50 | (N/A) 19900 1.3
CY
100 300 N/A i estimate method # N/A 2007-2018 x N/A 1980-2018 x N/A other
CZ
5000
8000
N/A
p
estimate
noChange
#
0.8
2007-2018 = N/A | N/A | (1) 1982-2018 + N/A | N/A | (2) # 63300 4.1 2002-2016 + N/A | N/A | (22.11) 1986-2016 + N/A | N/A | (68.78) # 60700 3.9
DE
70000
115000
N/A
p
estimate
genuine
11.3
2004-2016 + 30 | 97 | (60) 1980-2016 + 41 | 180 | (N/A) 329265 21.3 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 341700 22.1
DK
N/A
N/A
1136
p
estimate
genuine
#
0.1
2006-2017 + 39.38 | 167.76 | (94.05000) 1985-2017 + 220.57 | 506.84 | (341.74) # 36300 2.4 1996-2017 + N/A | N/A | (109.82) 1974-2017 + N/A | N/A | (908.33) # 36100 2.3
EE
500
1000
N/A
p
estimate
noChange
2007-2018 = N/A 1983-2018 - -60 | -31 | (N/A) 20800 1.4 2007-2018 + N/A | N/A | (22) 1980-2018 - N/A | N/A | (-21) 12100 0.8
ES
37906
197482
N/A
p
interval
genuine
14.4
2007-2018 u -7.1 | 5 | (N/A) 1980-2018 + N/A | N/A | (8) 71571 4.6 2007-2018 = N/A 1980-2018 - N/A | N/A | (-11.5) 75200 4.9
FI
4450
6370
5239
p
interval
noChange
0.6
2007-2018 = -15 | 77 | (23) 1984-2018 = -20 | 63 | (14) 46100 3.0 2007-2018 x N/A 1980-2010 + 13 | 13 | (N/A) 46100 3.0
FR
30000
60000
N/A
p
estimate
knowledge
5.5
2007-2018 + N/A | N/A | (90) 2001-2017 + N/A | N/A | (127) # 169000 # 10.9 2013-2018 + -1 | 29 | (N/A) 1985-2013 + N/A | N/A | (9) 167700 10.9
GR
1000
1500
N/A
p
estimate
noChange
0.1
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 18900 1.2 2007-2018 x N/A 1980-2018 x N/A 18600 1.2
HR
300
600
N/A
p
estimate
N/A
2007-2018 x N/A 1980-2018 x N/A 1580 0.1 2007-2018 x N/A 1980-2018 x N/A 2600 0.2
HU
10000
14000
N/A
p
estimate
knowledge
#
1.5
2007-2018 = N/A 1980-2018 + 116 | 360 | (N/A) # 30144 1.9 2007-2018 = N/A 1980-2018 + N/A | N/A | (277) # 30600 2.0
IE
14934
43039
27486
i
interval
genuine
#
N/A
2006-2016 - -50 | -24.9 | (-38.6) 1980-2016 x N/A 25300 1.6 2006-2016 - N/A | N/A | (-30) 1972-2016 - N/A | N/A | (-61.3) # 25200 1.6
IT
200
500
N/A
p
estimate
noChange
2007-2018 x N/A 1993-2018 + 65 | 100 | (N/A) 10000 0.7 2007-2018 + 15 | 20 | (N/A) 1993-2018 + 335 | 340 | (N/A) 10000 0.7
LT
950
1500
N/A
p
estimate
genuine
0.1
2013-2018 + 5 | 10 | (N/A) 1980-2018 + 100 | 150 | (N/A) 12400 0.8 2006-2018 = 0 | 0 | (N/A) 1980-2018 + 30 | 40 | (N/A) 12300 0.8
LU
200
400
N/A
p
estimate
noChange
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 1048 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2600 0.2
LV
4408
11744
7195
p
interval
method
0.9
2005-2018 u -28.4 | 464.4 | (109.4) 1980-2018 x N/A 25200 1.6 2000-2017 + N/A | N/A | (36) 1980-2017 + N/A | N/A | (215) 25000 1.6
NL
45000
55000
N/A
p
estimate
noChange
#
6.1
2006-2017 + 15 | 42 | (28) 1984-2017 + 26 | 94 | (56) 43900 2.9 2000-2015 = N/A | N/A | (-1.78) 1977-2015 = N/A | N/A | (8.93) 40100 2.6
PL
21000
36000
N/A
p
interval
genuine
3.5
2007-2018 + 35 | 150 | (84) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
200
1000
N/A
p
estimate
method
#
2007-2018 u N/A 1980-2018 x N/A # 1500 # 0.1 2005-2018 - N/A | N/A | (-56) 1980-2018 x N/A # 1300
RO
30299
79841
N/A
p
interval
method
6.7
2007-2018 x N/A 1980-2018 x N/A 89200 5.8 2007-2018 x N/A 1980-2018 x N/A 89200 5.8
SE
8500
16000
12000
p
estimate
noChange
1.5
2007-2018 = -16 | 19 | (0) 1980-2018 - -61 | -51 | (-55) 213100 13.8 2007-2018 = N/A 1980-2018 = N/A 213000 13.8
SI
1500
4600
N/A
p
estimate
genuine
0.4
2008-2018 + N/A | N/A | (135) 1980-2018 x N/A 6200 # 0.4 2007-2018 x N/A 1980-2018 + N/A | N/A | (270) # 5500 0.4
SK
3500
5500
N/A
p
estimate
noChange
0.6
2007-2018 = N/A 1980-2018 = N/A 35917 2.3 2007-2018 = N/A 1980-2018 = N/A 37800 2.5
UK
N/A
N/A
321780
p
estimate
genuine
#
39.3
2004-2016 + N/A | N/A | (14.33) 1980-2016 + N/A | N/A | (40.62) # 195100 12.7 1989-2009 = 4.78 | 4.78 | (N/A) 1970-2009 = N/A # 193800 12.6
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 610000 972000 p + + 1450000 NE NE Secure A B Secure Columba oenas