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, Panurus biarmicus. 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 estimateExpert
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES estimatePartial
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE estimatePartial
IT estimateExpert
LT estimatePartial
LV estimatePartial
NL completeSurvey
PL estimateExpert
RO completeSurvey
SE estimatePartial
SK estimatePartial
UK completeSurvey
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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimatePartial
IT estimatePartial
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO completeSurvey
SE estimatePartial
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
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LV
NL
PL
RO
SE
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
2000
8000
N/A
p
estimate
noInfo
6.2
2007-2018 x N/A 1985-2018 - -80 | -20 | (N/A) 1400 0.6 2007-2018 = N/A | N/A | (0) 1981-2018 = N/A | N/A | (0) 1200 0.5
BE
40
80
60
p
estimate
genuine
2008-2018 + 8 | 116 | (62) 1973-2018 + 116 | 332 | (224) 3392 # 1.5 2008-2018 + N/A | N/A | (276.47) 1973-2018 + N/A | N/A | (293.96) 2900 1.3
BG
200
450
N/A
p
estimate
noChange
0.4
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 3392 1.5 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 3900 1.7
CZ
90
180
N/A
p
estimate
noChange
#
0.2
2007-2018 x N/A 1980-2018 x N/A # 4600 2.1 2002-2016 = N/A | N/A | (5.12) 1986-2016 + N/A | N/A | (28.12) # 4600 2.0
DE
4100
8000
N/A
p
estimate
genuine
7.5
2004-2016 + N/A | N/A | (19) 1985-2016 + N/A | N/A | (82) 46248 20.7 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 181 | 1000 | (N/A) 53000 23.1
DK
N/A
N/A
2000
p
estimate
noChange
#
2.5
2006-2017 = N/A 1996-2017 = -22.27 | 264.17 | (70.55) # 12200 5.5 1996-2017 + N/A | N/A | (87.69) 1974-2017 + N/A | N/A | (408.33) # 12200 5.3
EE
300
1000
N/A
p
estimate
knowledge
0.8
2006-2017 + 100 | 150 | (N/A) 1980-2017 + N/A | N/A | (9900) 6900 3.1 2007-2018 + 37 | 950 | (N/A) 1980-2018 + 97 | 3350 | (N/A) 3900 1.7
ES
691
1186
N/A
p
interval
knowledge
1.2
2007-2018 = N/A 1984-2018 + N/A 5700 2.5 2007-2018 = N/A 1984-2018 + N/A 6100 2.7
FI
300
700
500
p
estimate
method
0.6
2007-2018 = N/A 1987-2018 + N/A # 7400 3.3 N/A N/A N/A 1987-2010 + 22200 | 22200 | (N/A) 7400 3.2
FR
3000
9000
N/A
p
estimate
method
7.5
2007-2017 x N/A 1980-2017 x N/A # 6100 2.7 2007-2017 + 16 | 16 | (N/A) 1980-2017 + 5 | 10 | (N/A) 6100 2.7
GR
2000
5000
N/A
p
estimate
noChange
4.4
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 4400 2.0 2007-2018 x N/A 1980-2018 x N/A 4300 1.9
HR
30
60
N/A
p
estimate
N/A
2007-2018 x N/A 1980-2018 x N/A 79 2007-2018 x N/A 1980-2018 x N/A 1700 0.7
HU
4500
6800
N/A
p
estimate
knowledge
#
7.0
2007-2018 F N/A 1980-2018 = N/A # 16940 7.6 2007-2018 = N/A 1980-2018 = N/A # 17200 7.5
IE
2
5
N/A
p
estimate
noChange
2013-2018 + N/A 1991-2018 + N/A 300 0.1 2012-2018 + N/A | N/A | (200) 1991-2018 + N/A # 300 0.1
IT
550
850
N/A
p
estimate
noChange
0.9
2000-2014 - -50 | -5 | (N/A) 1993-2018 - -95 | -85 | (N/A) 4600 2.1 2007-2018 = N/A 1993-2018 = N/A 4600 2.0
LT
600
1000
N/A
p
estimate
knowledge
1.0
2013-2018 + 10 | 20 | (N/A) 1980-2018 + 900 | 1100 | (N/A) 3100 1.4 2006-2018 = 0 | 0 | (N/A) 1980-2018 + 2300 | 2500 | (N/A) 3100 1.4
LV
600
2000
N/A
p
estimate
genuine
1.6
2012-2018 + 38.25 | 44.2 | (41.42) 1991-2017 + 38 | 44 | (N/A) 2600 1.2 2000-2017 + N/A | N/A | (123) 1980-2017 + N/A | N/A | (767) 2600 1.1
NL
1400
2100
N/A
p
estimate
knowledge
#
2.2
2006-2017 = -9 | 21 | (5) 1980-2017 + 36 | 44 | (40) 12200 5.5 2000-2015 = N/A | N/A | (4.27) 1977-2015 = N/A | N/A | (-5.42) 12000 5.2
PL
1800
2500
N/A
p
estimate
noChange
2.7
2007-2018 x N/A 1980-2018 x N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
19605
40465
N/A
p
interval
knowledge
37.4
2007-2018 x N/A 1980-2018 x N/A 22800 10.2 2007-2018 x N/A 1980-2018 x N/A 22700 9.9
SE
9000
15000
12000
p
estimate
genuine
#
14.9
2007-2018 u -50 | 50 | (N/A) 1980-2018 + 15 | 45 | (30) 47700 21.3 2007-2018 = N/A 1980-2018 + 100 | 200 | (150) 47700 20.8
SK
50
150
N/A
p
estimate
genuine
0.1
2007-2018 - -20 | -10 | (N/A) 1980-2018 = N/A 3402 1.5 2007-2018 - -20 | -10 | (N/A) 1980-2018 - -20 | -10 | (N/A) 3900 1.7
UK
N/A
N/A
655
p
mean
genuine
#
0.8
2001-2016 + N/A | N/A | (34) 1978-2016 + N/A | N/A | (64) 8200 3.7 1989-2009 + 36.67 | 36.67 | (N/A) 1970-2009 + 82.22 | 82.22 | (N/A) 8200 3.6
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 104000 164000 p x x 200000 NE NE Unknown E B Unknown Panurus biarmicus