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 viscivorus. 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
GR estimatePartial
HR estimateExpert
HU estimatePartial
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
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT completeSurvey
LU estimatePartial
LV completeSurvey
MT
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK estimatePartial
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 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
80000
120000
N/A
p
estimate
noChange
2.9
2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 85900 2.2 2007-2018 + N/A | N/A | (16) 1981-2018 x N/A 80500 2.7
BE
16700
26500
21600
p
estimate
genuine
#
0.6
2008-2018 - -30 | -8 | (-20) 1973-2018 - -52 | -24 | (-38) # 30644 # 0.8 2008-2018 = N/A | N/A | (2.56) 1973-2018 = N/A | N/A | (0.69) 31600 1.1
BG
80000
120000
N/A
p
estimate
noChange
2.9
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 61860 1.6 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 64200 2.1
CY
500 10000 N/A i estimate method # N/A 2007-2018 x N/A 1980-2018 x N/A other
CZ
40000
80000
N/A
p
estimate
noChange
#
1.8
2007-2018 = N/A | N/A | (0) 1982-2018 + N/A | N/A | (1) # 80900 2.1 2002-2016 = N/A | N/A | (5.11) 1986-2016 + N/A | N/A | (17.78) # 76400 2.6
DE
165000
320000
N/A
p
estimate
genuine
7.1
2004-2016 + 13 | 48 | (29) 1980-2016 = N/A | N/A | (-4) 341380 8.7 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 353300 11.8
DK
N/A
N/A
20087
p
estimate
genuine
#
0.6
2006-2017 = -48.46 | 11.95 | (-23.56) 1981-2017 - -53.79 | -25.83 | (-41.41) # 41600 1.1 1996-2017 = N/A | N/A | (-5.66) 1974-2017 + N/A | N/A | (50.18) # 41400 1.4
EE
15000
25000
N/A
p
estimate
knowledge
0.6
2006-2017 = -7 | 31 | (N/A) 1980-2017 + 49 | 85 | (N/A) 41600 1.1 2007-2018 = 5 | 7 | (N/A) 1980-2018 + 12 | 13 | (N/A) 21500 0.7
ES
255075
585464
N/A
p
interval
knowledge
#
12.3
2007-2018 + N/A 1980-2018 + N/A 136363 3.5 2007-2018 + N/A | 5.8 | (N/A) 1980-2018 = N/A | 36.2 | (N/A) 142800 4.8
FI
150033
199437
172370
p
mean
genuine
5.0
2007-2018 + 7 | 43 | (24) 1982-2018 + 89 | 291 | (173) 251800 6.4 N/A N/A N/A 1980-2010 + 78 | 78 | (N/A) 251700 8.4
FR
300000
900000
N/A
p
estimate
knowledge
#
17.5
2007-2017 = -21 | 6 | (-9) 1996-2017 - -41 | -16 | (-29) 449600 11.5 2012-2018 = 0 | 0 | (N/A) 1985-2018 = N/A | N/A | (0) 445900 14.9
GR
20000
50000
N/A
p
estimate
noChange
1.0
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 995800 25.4 2007-2018 x N/A 1980-2018 x N/A 550000 1130000 N/A i interval knowledge # N/A 2007-2018 = N/A | N/A | (0) 1980-2018 x N/A other 88800 3.0
HR
200000
400000
N/A
p
estimate
N/A
8.8
2007-2018 x N/A 1980-2018 x N/A 57300 1.5 2007-2018 x N/A 1980-2018 x N/A 55500 1.9
HU
7000
12000
N/A
p
estimate
knowledge
#
0.3
2007-2018 = N/A 1980-2018 x N/A # 33952 0.9 2007-2018 x N/A 1980-2018 + N/A | N/A | (20) # 34400 1.1
IE
135797
239181
185200
i
interval
genuine
#
N/A
2006-2016 - -16.6 | -2.6 | (-9.8) 1980-2016 x N/A # 75200 1.9 2006-2016 = N/A | N/A | (0) 1972-2016 = N/A | N/A | (-7.3) # 74200 2.5
IT
50000
100000
N/A
p
estimate
noChange
2.2
2000-2014 + 20 | 35 | (N/A) 1993-2018 = N/A 172900 4.4 2007-2018 = N/A 1993-2018 + 45 | 50 | (N/A) 170100 5.7
LT
15000
25000
N/A
p
estimate
noChange
0.6
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 24500 0.6 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 24200 0.8
LU
2000
3000
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A # 1181 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400
LV
16678
49946
28862
p
interval
method
0.8
2005-2018 u -9.7 | 175.9 | (59.8) 1991-2016 - N/A | N/A | (-32) 50000 1.3 2000-2017 + N/A | N/A | (24) 1980-2017 x N/A 49200 1.6
MT
4 20 N/A i estimate noInfo N/A 2008-2018 = N/A 1980-2018 = N/A other
NL
10000
12000
N/A
p
estimate
knowledge
0.3
2006-2017 - -21 | -3 | (-13) 1984-2017 - -50 | -10 | (-33) 37000 0.9 2000-2015 - N/A | N/A | (-11.48) 1977-2015 = N/A | N/A | (-6.56) 33500 1.1
PL
109000
161000
N/A
p
interval
knowledge
3.9
2007-2018 = 0 | 40 | (18) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
10000
100000
N/A
p
estimate
noChange
#
1.6
2007-2018 u N/A 1980-2018 + N/A # 39600 # 1.0 2005-2018 - N/A | N/A | (-37) 1980-2018 = N/A # 39200 1.3
RO
176961
336928
N/A
p
interval
method
7.5
2008-2018 u -6 | 8 | (N/A) 1980-2018 x N/A 128100 3.3 2007-2018 = N/A 1980-2018 x N/A 128100 4.3
SE
427000
516000
470000
p
estimate
genuine
13.7
2007-2018 + 29 | 56 | (42) 1980-2018 + 99 | 266 | (170) 466700 11.9 2007-2018 + 0 | 10 | (5) 1980-2018 + 0 | 10 | (5) 465400 15.6
SI
35000
55000
N/A
p
estimate
noChange
1.3
2008-2018 = N/A | N/A | (0) 1980-2018 x N/A 12200 # 0.3 2007-2018 x N/A 1980-2018 + N/A | N/A | (40) # 10800 0.4
SK
40000
80000
N/A
p
estimate
noChange
1.8
2007-2018 = N/A 1980-2018 = N/A 38232 1.0 2007-2018 = N/A 1980-2018 = N/A 40900 1.4
UK
N/A
N/A
166885
p
estimate
genuine
#
4.9
2004-2016 - N/A | N/A | (-26.13) 1980-2016 - N/A | N/A | (-50.72) # 260200 6.7 1989-2009 = 2.4 | 2.4 | (N/A) 1970-2009 = 0.39 | 0.39 | (N/A) 258700 8.7
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 2320000 4370000 p = = 3780000 NE NE Secure A B Secure Turdus viscivorus