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, Turdus philomelos. 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 estimatePartial
FI completeSurvey
FR estimatePartial
GIB
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimatePartial
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
GIB
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT
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
GIB estimatePartial
GR estimatePartial
HR
HU
IE
IT
LT
LU
LV
MT estimateExpert
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
350000
550000
N/A
p
estimate
noChange
2.7
2007-2018 = N/A | N/A | (4) 1981-2018 x N/A 93300 2.8 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 84800 2.6
BE
92600
163900
128300
p
estimate
genuine
0.8
2008-2018 - -35 | -22 | (-28) 1973-2018 - -54 | -18 | (-36) # 30659 # 0.9 2008-2018 = N/A 1973-2018 = N/A 31500 1.0
BG
150000
500000
N/A
p
estimate
noChange
2.0
2001-2018 + 0 | 45 | (N/A) 1980-2018 = 0 | 5 | (N/A) 103523 3.1 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 108200 3.3
CY
1300000 5000000 N/A i estimate method N/A 2007-2018 x N/A 1980-2018 x N/A other
CZ
450000
900000
N/A
p
estimate
noChange
#
4.1
2007-2018 + N/A | N/A | (2) 1982-2018 + N/A | N/A | (1) # 84900 2.6 2002-2016 = N/A | N/A | (0.15) 1986-2016 = N/A | N/A | (0.31) # 79900 2.4
DE
1600000
1950000
N/A
p
estimate
noChange
10.7
2004-2016 + 8 | 24 | (16) 1980-2016 = N/A | N/A | (5) 356765 10.8 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 371500 11.4
DK
N/A
N/A
384280
p
estimate
genuine
#
2.3
2006-2017 + 22.34 | 75.5 | (46.73) 1980-2017 = -7.06000 | 32.87 | (11.17) # 58000 1.8 1996-2017 = N/A | N/A | (1.75) 1974-2017 = N/A | N/A | (-2.65) # 57800 1.8
EE
300000
400000
N/A
p
estimate
knowledge
2.1
2007-2018 = 0 | 1 | (N/A) 1983-2018 = -13 | 10 | (N/A) 54600 1.6 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (0) 29900 0.9
ES
369672
663714
N/A
p
interval
genuine
#
3.1
2007-2018 + N/A 1980-2018 + N/A 106964 3.2 2007-2018 + N/A | 10.4 | (N/A) 1980-2018 + N/A | 81.6 | (N/A) 112600 3.4
FI
980844
1175381
1059773
p
mean
genuine
6.4
2007-2018 + 12 | 28 | (20) 1980-2018 + 13 | 46 | (29) 307900 9.3 N/A N/A N/A 1980-2010 + 6 | 6 | (N/A) 307700 9.4
FR
1000000
2000000
N/A
p
estimate
knowledge
#
9.1
2007-2017 = -3 | 11 | (3.9) 1996-2017 + 6.1 | 24 | (15) 487100 14.7 2012-2018 = 0 | 0 | (N/A) 1985-2018 = N/A 482200 14.8
GIB
11 50 50 i mean noChange N/A 2001-2018 = 0 | 0 | (0) 1980-2018 = 0 | 0 | (0) other
GR
1000
3000
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 = 0 | 0 | (N/A) 30900 0.9 2007-2018 x N/A 1980-2018 x N/A 20480000 27460000 N/A i interval noChange # N/A 2007-2018 = N/A | N/A | (0) 1980-2018 x N/A other 28300 0.9
HR
600000
1000000
N/A
p
estimate
N/A
4.8
2007-2018 x N/A 1980-2018 x N/A 52500 1.6 2007-2018 x N/A 1980-2018 x N/A 49300 1.5
HU
366000
430000
N/A
p
interval
genuine
#
2.4
2007-2018 = N/A 1980-2018 x N/A # 93030 # 2.8 2007-2018 = N/A 1980-2018 = N/A # 95200 2.9
IE
687965
1028321
853569
i
interval
genuine
#
N/A
2006-2016 = -8 | 0.3 | (-3.9) 1980-2016 x N/A # 83100 2.5 2006-2016 = N/A | N/A | (5) 1972-2016 = N/A | N/A | (5.4) # 82100 2.5
IT
100000
300000
N/A
p
estimate
noChange
1.2
2000-2014 + 25 | 40 | (N/A) 1993-2018 = N/A 129800 3.9 2007-2018 = N/A 1993-2018 + 65 | 70 | (N/A) 127500 3.9
LT
200000
400000
N/A
p
estimate
noChange
1.8
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 2.2 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71200 2.2
LU
5000
8000
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 1355 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400
LV
430769
617919
514924
p
interval
method
3.1
2005-2018 + 3.8 | 41.7 | (21.4) 1991-2016 + 130 | 131 | (N/A) 67700 2.0 2000-2017 = N/A | N/A | (-4) 1980-2017 = N/A | N/A | (8) 66000 2.0
MT
1500 9000 N/A i estimate noInfo N/A 2008-2018 + N/A | N/A | (20) 1980-2018 + N/A | N/A | (20) other
NL
110000
180000
N/A
p
estimate
knowledge
0.9
2006-2017 = 0 | 12 | (6) 1984-2017 + 90 | 148 | (117) 44200 1.3 2000-2015 = N/A | N/A | (-1.33) 1977-2015 = N/A | N/A | (-0.67) 40100 1.2
PL
1121000
1843000
N/A
p
interval
genuine
9.0
2007-2018 + 11 | 29 | (20) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
5000
10000
N/A
p
estimate
noChange
#
2007-2018 u N/A 1980-2018 + N/A # 20900 # 0.6 2005-2018 + N/A | N/A | (40) 1980-2018 + N/A # 20500 0.6
RO
1510018
1743426
N/A
p
interval
method
9.8
2008-2018 u -1 | 5 | (N/A) 1980-2018 x N/A 204800 6.2 2007-2018 = N/A 1980-2018 = N/A 201800 6.2
SE
1157000
2703000
1930000
p
estimate
noChange
11.7
2007-2018 = -2 | 8 | (3) 1980-2018 = -9 | 7 | (0) 476700 14.4 2007-2018 = N/A 1980-2018 = N/A 474600 14.5
SI
138400
276900
N/A
p
estimate
genuine
1.3
2008-2018 + N/A | N/A | (33) 1980-2018 x N/A 14300 # 0.4 2007-2018 x N/A 1980-2018 + N/A | N/A | (23) # 12700 0.4
SK
300000
600000
N/A
p
estimate
noChange
2.7
2007-2018 = N/A 1980-2018 = N/A 49020 1.5 2007-2018 = N/A 1980-2018 = N/A 52200 1.6
UK
N/A
N/A
1308420
p
estimate
genuine
#
7.9
2004-2016 = N/A | N/A | (7.06000) 1980-2016 - N/A | N/A | (-10.98) # 279900 8.5 1989-2009 = 1.16 | 1.16 | (N/A) 1970-2009 = N/A # 278700 8.5
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 12200000 20500000 p + = 3100000 NE NE Secure A B Secure Turdus philomelos