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, Serinus serinus. 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 estimatePartial
BG estimatePartial
CY estimatePartial
CZ completeSurvey
DE completeSurvey
DK completeSurvey
EE estimateExpert
ES estimatePartial
ESIC estimateExpert
FI estimateExpert
FR estimatePartial
GIB estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
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 estimateExpert
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
ESIC absentData
FI completeSurvey
FR completeSurvey
GIB completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
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
CY
CZ
DE
DK
EE
ES
ESIC
FI
FR
GIB
GR
HR
HU
IT
LT
LU
LV
NL
PL
PT
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
40000
60000
N/A
p
estimate
genuine
0.2
2007-2018 - N/A | N/A | (-23) 1981-2018 x N/A 69000 3.4 2007-2018 = N/A | N/A | (3) 1981-2018 x N/A 64500 3.1
BE
80
380
230
p
estimate
genuine
2008-2018 - -88 | -42 | (-65) 1973-2018 - -96 | -80 | (-88) 13998 # 0.7 2008-2018 - N/A | N/A | (-60) 1973-2018 - N/A | N/A | (-29.99) # 15300 0.7
BG
25000
50000
N/A
p
estimate
noChange
0.2
2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 5 | (N/A) 22800 1.1 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 23300 1.1
CY
4000
12000
N/A
p
estimate
genuine
2007-2018 + 20 | 60 | (N/A) 1980-2018 + 25 | 50 | (N/A) 3900 0.2 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 25 | 50 | (N/A) 3900 0.2
CZ
400000
800000
N/A
p
estimate
noChange
#
2.8
2007-2018 - N/A | N/A | (-6) 1982-2018 - N/A | N/A | (-5) # 77900 3.8 2002-2016 = N/A | N/A | (-1.92) 1986-2016 = N/A | N/A | (-1.6) # 75400 3.6
DE
65000
130000
N/A
p
estimate
genuine
0.5
2004-2016 - -59 | -39 | (-50) 1980-2016 - N/A | N/A | (-50) 264458 12.9 2004-2016 - -30 | -11 | (N/A) 1980-2016 = -30 | 40 | (0) 273400 13.1
DK
N/A
N/A
2
p
estimate
noChange
#
2011-2017 = -100 | 2616.84 | (-62.75) 1980-2017 = -91.55 | 40.78 | (-64.6) # 2100 0.1 1996-2017 + N/A | N/A | (16.66) 1974-2017 + N/A | N/A | (162.5) # 1700
EE
150
300
N/A
p
estimate
knowledge
2006-2017 + 10 | 20 | (N/A) 1980-2017 + 20 | 50 | (N/A) 4700 0.2 2007-2018 + 42 | 47 | (N/A) 1980-2018 + 47 | 57 | (N/A) 4700 0.2
ES
13056552
15486233
N/A
p
interval
noInfo
67.3
2007-2018 - -2.2 | -1.1 | (N/A) 1980-2018 - N/A 331715 16.1 2007-2018 - N/A 1980-2018 x N/A 348400 16.7
ESIC
1000
2500
N/A
p
minimum
noInfo
#
2007-2018 x N/A 1980-2018 x N/A # 1700 2007-2018 x N/A 1980-2018 x N/A # 1800
FI
0
3
1
p
estimate
noChange
2007-2018 = N/A 1980-2018 + N/A 600 N/A N/A N/A 1980-2010 N/A N/A 600
FR
250000
500000
N/A
p
estimate
knowledge
1.8
2007-2018 - N/A | N/A | (-32) 2001-2018 - N/A | N/A | (-41) 416000 20.2 2009-2017 - N/A | N/A | (-8) 1985-2017 - -5 | -3 | (N/A) 413400 19.8
GIB
2
10
10
p
estimate
noChange
2001-2018 F -66 | 66 | (66) 1980-2018 = 0 | 0 | (0) 1 2001-2018 = 0 | 0 | (0) 1980-2018 = 0 | 0 | (0) 300
GR
80000
110000
N/A
p
estimate
knowledge
0.5
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 137800 6.7 2007-2018 x N/A 1980-2018 x N/A 130000 6.2
HR
100000
500000
N/A
p
estimate
N/A
1.4
2007-2018 x N/A 1980-2018 x N/A 56548 2.8 2007-2018 x N/A 1980-2018 x N/A 78100 3.7
HU
113000
130000
N/A
p
interval
knowledge
#
0.6
2007-2018 = N/A 1980-2018 - -48 | -12 | (N/A) 93011 4.5 2007-2018 = N/A 1980-2018 = N/A # 95600 4.6
IT
1000000
1500000
N/A
p
estimate
noChange
5.9
2012-2017 = N/A 1993-2018 + 150 | 400 | (N/A) 319000 15.5 2007-2018 = N/A 1993-2018 + 5 | 10 | (N/A) 317800 15.2
LT
15000
25000
N/A
p
estimate
noChange
2013-2018 = N/A 1980-2018 x N/A 15700 0.8 2006-2018 = N/A 1980-2018 + 20 | 30 | (N/A) 15700 0.8
LU
1000
2000
N/A
p
estimate
noChange
2007-2018 = 0 | 10 | (N/A) 1980-2018 - -30 | 0 | (N/A) 436 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 1900
LV
1200
3000
N/A
p
estimate
genuine
2000-2018 + 813.12 | 871.25 | (851.88) 1991-2017 + 1263 | 1478 | (N/A) 7700 0.4 2000-2017 + N/A | N/A | (59) 1980-2017 + N/A | N/A | (208) 7700 0.4
NL
20
40
N/A
p
estimate
genuine
2006-2017 - -91 | -67 | (-83) 1980-2017 - -90 | N/A | (-90) # 1700 2000-2015 - N/A | N/A | (-71.66) 1977-2015 - N/A | N/A | (-72.58) 1400
PL
567000
749000
N/A
p
interval
genuine
3.1
2007-2018 - -27 | -5 | (-17) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1000000
5000000
N/A
p
estimate
noChange
#
14.2
2004-2018 - N/A 1980-2018 - N/A # 87300 # 4.2 2005-2018 = N/A | N/A | (-7) 1980-2018 = N/A # 85300 4.1
RO
97694
251654
N/A
p
interval
method
0.8
2008-2018 u -20 | 2 | (N/A) 1980-2018 x N/A 64700 3.1 2007-2018 = N/A 1980-2018 x N/A 64400 3.1
SE
30
60
40
p
estimate
noChange
2007-2018 = -20 | 20 | (0) 1980-2018 = -50 | 50 | (0) 2800 0.1 2007-2018 = N/A 1980-2018 = N/A 2800 0.1
SI
49900
88300
N/A
p
estimate
genuine
0.3
2008-2018 - N/A | N/A | (-35.6) 1980-2018 x N/A 11000 # 0.5 2007-2018 x N/A 1980-2018 = N/A | N/A | (1) # 9600 0.5
SK
20000
90000
N/A
p
estimate
genuine
0.3
2007-2018 - -30 | -10 | (N/A) 1980-2018 - -30 | -10 | (N/A) 48219 2.4 2007-2018 = N/A 1980-2018 = N/A 50900 2.4
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 16700000 25300000 p - - 1990000 NE NE Secure A B Secure Serinus serinus