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 , in EU28 for the period 2013-2018 and in EU 27 for the period 2019-2024.

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 biogeographical assessments and justifications for decisions made by the assessors.
Some inconsistencies may appear in the data reported by Member States. To ensure the robustness of the EU-level assessments, all assessments
undergo expert review. Where inconsistencies or potential errors are identified, they are documented transparently and per bird taxon in the assessment audit trail.

Legend
I
Increasing
S
Stable
Unk
Unknown
D
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.

The delayed delivery by Romania did not allow the Romanian report to be used for the EU population status assessment. Where possible, data available to the BirdLife network were used for the EU assessments

Current selection: 2019-2024, Garrulus glandarius. 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 completeSurvey
CY estimatePartial
CZ estimateExpert
DE completeSurvey
DK estimatePartial
EE estimatePartial
EL estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
HR estimatePartial
HU completeSurvey
IE estimateExpert
IT estimatePartial
LT estimateExpert
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
SE completeSurvey
SI estimatePartial
SK estimatePartial
Max
Best value Unit Type est. Change ℹ % MS ST period ST direction ST magnitude LT period LT direction LT magnitude ℹ
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 estimatePartial
BG completeSurvey
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
EL estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
HR estimatePartial
HU estimatePartial
IE completeSurvey
IT completeSurvey
LT estimateExpert
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL estimatePartial
PT completeSurvey
SE completeSurvey
SI estimatePartial
SK estimatePartial
Area
ℹ % MS ST period ST direction ST magnitude LT period LT direction LT magnitude ℹ 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
EL
ES
FI
FR
HR
HU
IE
IT
LT
LU
LV
NL
PL
PT
SE
SI
SK
Max
Best value Unit Type est. Change ℹ % MS ST period ST direction ST magnitude LT period LT direction LT magnitude ℹ Status Distrib. % MS
AT
46000.0
70000.0
p
interval
knowledge
1.1
2013-2023 S NA | NA | -5 1997-2024 D NA | NA | -31 # 80800.0 0.2 2013-2024 S NA | NA | -10.3219 1990-2024 S NA | NA | 2.14918 94000.0 2.5 Garrulus glandarius
BE
36710.0
73510.0
55110.0
p
estimate
genuine
1.1
2013-2024 S -0.18388 | 0.0514738 | -0.0724063 1973-2024 I 0.668636 | 2.34136 | 1.505 30516.0 0.08 2013-2024 S NA | NA | -0.00466421 1973-2024 I NA | NA | 0.0241987 39600.0 1.1 Garrulus glandarius
BG
89050.0
111500.0
p
interval
method
#
1.9
2013-2024 S -10 | 10 | NA 1980-2024 S -20 | -10 | NA 116600.0 0.3 2013-2024 S 0 | 5 | NA 1980-2024 S 0 | 10 | NA 146000.0 3.9 Garrulus glandarius
CY
4700.0
8200.0
p
estimate
noChange
#
0.1
2013-2024 U -13 | 10 | NA 1980-2024 Unk NA | NA | NA 2500.0 # 0.01 2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 2900.0 0.08 Garrulus glandarius
CZ
142900.0
442700.0
p
estimate
genuine
5.7
2015-2024 D NA | NA | -19.9 1982-2024 I NA | NA | 98.55 81300.0 # 0.2 2013-2024 S NA | NA | -2.86874 1985-2024 S NA | NA | -1.04632 # 87300.0 2.3 Garrulus glandarius
DE
520000.0
700000.0
p
estimate
genuine
11.9
2010-2022 S -5 | 15 | 5 1980-2022 S NA | NA | 14 35435585.77 92.6 2010-2022 S -10 | 10 | NA 1980-2022 S -30 | 45 | NA 410400.0 10.9 Garrulus glandarius
DK
16415.0
34087.0
24469.0
p
mean
genuine
0.5
2012-2023 D -63 | 57 | -24 1981-2023 S -58 | 77 | -14 43600.0 # 0.1 2014-2023 S NA | NA | 8 1974-2023 S NA | NA | -5 70700.0 1.9 Garrulus glandarius
EE
35000.0
45000.0
p
estimate
noChange
0.8
2013-2024 S NA | NA | NA 1984-2024 I 38 | 230 | 114 32300.0 0.08 2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 38800.0 1.0 Garrulus glandarius
EL
40000.0
70000.0
p
estimate
noChange
1.1
2013-2024 S 1 | 8 | 5 1980-2024 S NA | NA | 4 # 128300.0 0.3 2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 177200.0 4.7 Garrulus glandarius
ES
371545.0
438083.0
403716.0
p
interval
genuine
7.8
2013-2024 D -23.89 | -6.4 | -15.56 1980-2024 D -22.7 | -5.4 | -14.47 # 282000.0 0.7 2013-2024 S NA | NA | 7 1980-2024 S -0.29 | 0.06 | NA 317000.0 8.4 Garrulus glandarius
FI
96883.0
138874.0
108174.0
p
mean
noChange
#
2.1
2013-2024 S -20 | 11 | -6 1980-2024 D -50 | -11 | -33 # 122400.0 0.3 2008-2024 D NA | NA | -33 1980-2024 D NA | NA | -28 # 140700.0 3.7 Garrulus glandarius
FR
1067000.0
1507000.0
1266000.0
p
interval
method
24.6
2012-2023 D -15.9 | -5.9 | -11 2001-2023 S -1 | 12 | 6 543100.0 1.4 2009-2024 S NA | NA | 1 1985-2024 S NA | NA | 2 619200.0 16.4 Garrulus glandarius
HR
10524.0
14002.0
p
estimate
noChange
#
0.2
2013-2024 S NA | NA | NA 1980-2024 Unk NA | NA | NA 53038.68 0.1 S NA | NA | NA 1980-2024 Unk NA | NA | NA 105800.0 2.8 Garrulus glandarius
HU
66000.0
80000.0
p
interval
noChange
1.4
2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 75763.0 0.2 2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 91100.0 2.4 Garrulus glandarius
IE
5000.0
14999.0
p
estimate
noChange
#
0.2
2013-2024 Unk NA | NA | NA 1980-2024 Unk NA | NA | NA # 42400.0 # 0.1 1991-2011 I NA | NA | 96 1972-2011 I NA | NA | 19 # 50800.0 1.4 Garrulus glandarius
IT
486175.0
972350.0
p
estimate
genuine
#
14.2
2013-2024 D NA | NA | -0.4 2000-2024 I NA | NA | 1 211000.0 0.6 2013-2024 U NA | NA | NA 1993-2024 S NA | NA | NA 257800.0 6.8 Garrulus glandarius
LT
60000.0
100000.0
p
estimate
method
1.6
2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 73500.0 0.2 2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 82900.0 2.2 Garrulus glandarius
LU
3000.0
4000.0
p
estimate
noChange
0.07
2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 2537.0 0.01 2013-2024 S NA | NA | NA 1980-2024 S NA | NA | NA 4300.0 0.1 Garrulus glandarius
LV
76655.0
189940.0
120664.0
p
interval
genuine
2.4
2012-2024 D -36.32 | 3.95 | -18.6 2005-2024 S -34 | 35 | -5.73 70800.0 0.2 2002-2015 S -3.72 | 2.86 | -0.43 1982-2015 S -2.92 | 9.28 | 3.18 # 76200.0 2.0 Garrulus glandarius
NL
56000.0
64000.0
58000.0
p
mean
noChange
1.1
2012-2023 I 4 | 19 | 11 1984-2023 I 8.66652 | 48.4154 | 27.0338 45200.0 0.1 2011-2023 I NA | NA | 0.118812 1977-2023 I NA | NA | 0.189474 54800.0 1.4 Garrulus glandarius
PL
580000.0
708000.0
641000.0
p
interval
method
#
12.5
2013-2024 D -21 | -6 | -13 1980-2024 Unk NA | NA | NA # 235900.0 # 0.6 2013-2024 Unk NA | NA | NA 1980-2024 Unk NA | NA | NA # 247900.0 6.6 Garrulus glandarius
PT
16624.0
p
minimum
noChange
0.3
2015-2024 U NA | NA | NA 2004-2024 S NA | NA | NA 82500.0 0.2 2013-2021 S NA | NA | NA 1999-2021 S NA | NA | -10 93200.0 2.5 Garrulus glandarius
SE
179000.0
416000.0
290000.0
p
estimate
knowledge
5.6
2013-2024 S NA | NA | 0 1980-2024 D -45 | -25 | -35 397000.0 # 1.0 2013-2024 S NA | NA | 0 1980-2024 I 5 | 15 | NA 465100.0 12.3 Garrulus glandarius
SI
21100.0
31700.0
p
estimate
genuine
0.5
2008-2024 S NA | NA | 8 1980-2024 S NA | NA | NA # 18400.0 # 0.05 2013-2024 Unk NA | NA | NA 1980-2024 Unk NA | NA | NA 26000.0 0.7 Garrulus glandarius
SK
40000.0
80000.0
p
estimate
knowledge
1.2
2013-2024 S 0 | 0 | NA 2000-2024 S 0 | 0 | NA 48208.88 0.1 2013-2024 S 0 | 0 | NA 2000-2024 S 0 | 0 | NA 68700.0 1.8 Garrulus glandarius