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, Streptopelia decaocto. 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 estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES estimatePartial
ESIC estimateExpert
FI estimatePartial
FR completeSurvey
GIB estimatePartial
GR estimatePartial
HR completeSurvey
HU completeSurvey
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
MT completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
PTAC estimatePartial
PTMA estimatePartial
RO estimateExpert
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 estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
ESIC absentData
FI completeSurvey
FR completeSurvey
GIB completeSurvey
GR estimatePartial
HR completeSurvey
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTAC estimatePartial
PTMA completeSurvey
RO completeSurvey
SE estimatePartial
SI absentData
SK estimateExpert
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
CZ
DE
DK
EE
ES
ESIC
FI
FR
GIB
GR
HR
HU
IE
IT
LT
LU
LV
MT
NL
PL
PT
PTAC
PTMA
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
35000
55000
N/A
p
estimate
genuine
0.4
2007-2018 + N/A | N/A | (8) 1981-2018 x N/A 59700 2.0 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 55500 1.8
BE
74200
136300
105300
p
estimate
genuine
0.9
2008-2018 - -32 | -19 | (-26) 1973-2018 + 24 | 127 | (76) # 30549 # 1.0 2008-2018 = N/A 1973-2018 = N/A 31600 1.0
BG
80000
150000
N/A
p
estimate
noChange
1.0
2000-2018 F N/A 1980-2018 = 0 | 10 | (N/A) 93479 3.1 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 96700 3.2
CY
8000
20000
N/A
p
estimate
genuine
0.1
2007-2018 + 0 | 33 | (N/A) 1980-2018 + 100 | 500 | (N/A) 7000 0.2 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 100 | 200 | (N/A) 7000 0.2
CZ
180000
360000
N/A
p
estimate
noChange
#
2.2
2007-2018 = N/A | N/A | (0) 1982-2018 + N/A | N/A | (1) # 77200 2.5 2002-2016 = N/A | N/A | (-1.63) 1986-2016 = N/A | N/A | (-2.28) # 74900 2.5
DE
100000
186000
N/A
p
estimate
genuine
1.2
2004-2016 - -21 | -2 | (-12) 1980-2016 = N/A | N/A | (-20) 341379 11.2 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 356000 11.6
DK
N/A
N/A
28932
p
estimate
genuine
#
0.2
2006-2017 - -54.1 | -34.64 | (-45.15) 1980-2017 = -27.15 | 3.28 | (-13.23) # 53900 1.8 1996-2017 = N/A | N/A | (-0.73) 1974-2017 = N/A | N/A | (-6.52) # 53800 1.8
EE
100
150
N/A
p
estimate
noInfo
2006-2017 + 20 | 50 | (N/A) 1980-2017 - -100 | -50 | (N/A) 11000 0.4 2007-2018 = N/A | N/A | (10) 1980-2018 - N/A | N/A | (-58) 5100 0.2
ES
1195000
2270000
N/A
p
interval
noInfo
14.4
2005-2011 + N/A | N/A | (208.3) 1998-2018 + N/A | N/A | (715.4) 298362 9.8 2007-2018 + 15.9 | N/A | (N/A) 1984-2018 + 100 | N/A | (N/A) 313500 10.2
ESIC
1000
2500
N/A
p
minimum
noInfo
#
2007-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 10200 0.3 2007-2018 + N/A | N/A | (12) 1980-2018 + N/A | N/A | (1) # 12000 0.4
FI
150
250
200
p
estimate
knowledge
2007-2018 + N/A | N/A | (13) 1980-2018 x N/A 12000 0.4 N/A N/A N/A 1980-2010 + 69 | 69 | (N/A) 12000 0.4
FR
900000
1700000
N/A
p
estimate
method
10.8
2007-2017 = -16 | 3 | (N/A) 1996-2017 + 61 | 110 | (83) 520300 17.1 2012-2018 = N/A | N/A | (-3.5) 1996-2017 = N/A | N/A | (20) 517200 16.9
GIB
25
50
50
p
estimate
noChange
2001-2018 + 50 | 100 | (100) 1980-2018 + 100 | 100 | (100) 2 2006-2018 + 50 | 75 | (75) 1980-2018 + 100 | 100 | (100) 200
GR
610000
780000
N/A
p
estimate
knowledge
5.8
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 188400 6.2 2007-2018 x N/A 1980-2018 x N/A 182900 6.0
HR
15616
39750
N/A
p
interval
N/A
0.2
2007-2018 x N/A 1980-2018 x N/A 45595 1.5 2007-2018 x N/A 1980-2018 x N/A 62400 2.0
HU
272000
314000
N/A
p
interval
genuine
#
2.4
2007-2018 = N/A 1980-2018 + 28 | 78 | (N/A) 93011 3.1 2007-2018 = N/A 1980-2018 = N/A # 94400 3.1
IE
156394
384944
260939
i
interval
genuine
#
N/A
2006-2016 + 38 | 76.1 | (56) 1980-2016 x N/A 71900 2.4 2006-2016 + N/A | N/A | (41) 1972-2016 + N/A | N/A | (113.9) # 71000 2.3
IT
400000
600000
N/A
p
estimate
noChange
4.2
2000-2014 + 35 | 45 | (N/A) 1993-2018 + 500 | 1235 | (N/A) 276600 9.1 2007-2018 + 5 | 10 | (N/A) 1993-2018 + 155 | 160 | (N/A) 276300 9.0
LT
5000
8000
N/A
p
estimate
method
2013-2018 = N/A 1980-2018 - -20 | -10 | (N/A) 20500 0.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 20500 0.7
LU
1500
2000
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 472 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2200
LV
205
350
N/A
p
estimate
genuine
2000-2017 = 0.77 | 7.18 | (3.95) 1991-2017 - -32 | -29 | (N/A) 5000 0.2 2000-2017 - N/A | N/A | (-50) 1980-2017 - N/A | N/A | (-58) 4800 0.2
MT
146
384
N/A
p
estimate
genuine
#
2008-2018 + N/A | N/A | (1132) 2003-2018 + N/A | N/A | (80) # 35 2008-2018 + N/A | N/A | (46) 2003-2018 + N/A | N/A | (80) 600
NL
55000
70000
N/A
p
estimate
genuine
0.5
2006-2017 - -28 | -16 | (-22) 1984-2017 = -44 | 4 | (-23) # 43600 1.4 2000-2015 = N/A | N/A | (-1.35) 1977-2015 = N/A | N/A | (0.92) 39900 1.3
PL
1082000
1346000
N/A
p
interval
genuine
10.1
2007-2018 + 57 | 85 | (71) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
80000
5000000
N/A
p
estimate
method
#
21.1
2004-2018 + N/A 1980-2018 + N/A # 79000 # 2.6 2005-2018 + N/A | N/A | (24) 1980-2018 + N/A # 77800 2.5
PTAC
335
86913
N/A
p
estimate
genuine
#
0.4
2015-2018 + N/A | N/A | (4483) 1980-2018 x N/A # 4200 # 0.1 2006-2018 + N/A | N/A | (166052) 1980-2018 x N/A # 4200 0.1
PTMA
100
500
N/A
p
estimate
noChange
2008-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 1100 2001-2018 + N/A | N/A | (1) 1980-2012 + N/A | N/A | (1) # 600
RO
1000000
3000000
N/A
p
estimate
knowledge
16.6
2008-2018 u -2 | 8 | (N/A) 1980-2018 x N/A 202400 6.7 2007-2018 = N/A 1980-2018 = N/A 199300 6.5
SE
2300
4300
3100
p
estimate
noChange
2007-2018 u -59 | 54 | (19) 1980-2018 - -75 | -25 | (-50) 186800 6.2 2007-2018 = N/A 1980-2018 - -10 | 0 | (-5) 186700 6.1
SI
24500
31600
N/A
p
estimate
genuine
0.2
2008-2018 - N/A | N/A | (-23) 1980-2018 x N/A 7500 # 0.2 2007-2018 x N/A 1980-2018 = N/A | N/A | (-8) # 6800 0.2
SK
40000
80000
N/A
p
estimate
noChange
0.5
2007-2018 = N/A 1980-2018 = N/A 43735 1.4 2007-2018 = N/A 1980-2018 = N/A 44900 1.5
UK
729902
887892
808897
p
interval
genuine
6.7
2004-2016 - N/A | N/A | (-20.92) 1980-2016 + N/A | N/A | (21.42) # 252000 8.3 1989-2009 + 8.57 | 8.57 | (N/A) 1970-2009 + 16.13 | 16.13 | (N/A) 250100 8.2
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 5990000 14500000 p + + 2830000 NE NE Secure A B Secure Streptopelia decaocto