Article 12 web tool

Log in

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, Pyrrhula pyrrhula. 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
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR absentData
HR estimateExpert
HU estimateExpert
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
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
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
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
90000
160000
N/A
p
estimate
noChange
4.5
2007-2018 F N/A | N/A | (0) 1981-2018 x N/A 68400 3.1 2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 65400 3.1
BE
9600
14700
12100
p
estimate
method
0.4
2008-2018 = -9 | 33 | (10) 1973-2018 - -40 | -8 | (-24) # 26772 # 1.2 2008-2018 + N/A | N/A | (63.84) 1973-2018 = N/A 26400 1.2
BG
15000
25000
N/A
p
estimate
noChange
0.7
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 21054 1.0 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 21700 1.0
CZ
90000
180000
N/A
p
estimate
noChange
#
4.8
2007-2018 + N/A | N/A | (3) 1982-2018 = N/A | N/A | (-1) # 63500 2.9 2002-2016 = N/A | N/A | (-6.07000) 1986-2016 = N/A | N/A | (-6.4) # 61100 2.9
DE
170000
330000
N/A
p
estimate
genuine
8.9
2004-2016 + 55 | 135 | (91) 1980-2016 + N/A | N/A | (80) 325759 15.0 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 336300 15.8
DK
N/A
N/A
38963
p
estimate
genuine
#
1.4
2006-2017 = -0.12 | 98.82 | (41.62) 1980-2017 + 7.11 | 102 | (47.28) # 51600 2.4 1996-2017 + N/A | N/A | (16.21) 1974-2017 + N/A | N/A | (48.27) # 51500 2.4
EE
70000
100000
N/A
p
estimate
genuine
3.0
2007-2018 - -42 | -37 | (N/A) 1983-2018 - -41 | -14 | (N/A) 49900 2.3 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 0 | 2 | (N/A) 19800 0.9
ES
114908
238800
171708
p
interval
knowledge
6.1
2007-2018 = N/A 1980-2018 - N/A 29489 1.4 2007-2018 = N/A 1980-2018 = N/A 30000 1.4
FI
149394
381859
247991
p
mean
genuine
8.8
2007-2018 + 18 | 58 | (37) 1980-2018 = -28 | 17 | (-8) 192200 8.9 N/A N/A N/A 1980-2010 + 5 | 5 | (N/A) 192100 9.0
FR
100000
200000
N/A
p
estimate
knowledge
5.3
2007-2018 - N/A | N/A | (-30.86) 2001-2018 - N/A | N/A | (-55) 259400 12.0 2009-2017 - N/A | N/A | (-1) 1985-2017 - -20 | -15 | (N/A) 256300 12.0
GR
500
2000
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (66) 9400 0.4 2007-2018 x N/A 1980-2018 x N/A 8200 0.4
HR
40000
70000
N/A
p
estimate
N/A
2.0
2007-2018 x N/A 1980-2018 x N/A 12700 0.6 2007-2018 x N/A 1980-2018 x N/A 12500 0.6
HU
5
15
N/A
p
estimate
genuine
#
2007-2018 = N/A 1980-2018 - -95 | -90 | (N/A) # 431 2007-2018 = N/A 1980-2018 - -90 | -70 | (N/A) 600
IE
422103
700663
648630
i
interval
genuine
#
N/A
2006-2016 + 30.9 | 51.7 | (40.9) 1980-2016 x N/A 76800 3.5 2006-2016 = N/A | N/A | (6) 1972-2016 = N/A | N/A | (7.7) # 75800 3.5
IT
30000
60000
N/A
p
estimate
noChange
1.6
2000-2014 - -20 | -10 | (N/A) 1993-2018 = N/A 79000 3.6 2007-2018 = N/A 1993-2018 + 5 | 10 | (N/A) 77800 3.6
LT
15000
30000
N/A
p
estimate
knowledge
0.8
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 23700 1.1 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 23300 1.1
LU
4000
8000
N/A
p
estimate
noChange
#
0.2
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 1105 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2600 0.1
LV
110266
289542
178680
p
interval
method
6.4
2005-2018 u -2.2 | 130.9 | (51.4) 1991-2016 = -3 | -2 | (N/A) 59800 2.8 2000-2017 = N/A | N/A | (5) 1980-2017 + N/A | N/A | (53) 59100 2.8
NL
9000
11000
N/A
p
estimate
knowledge
0.4
2006-2017 + 38 | 74 | (55) 1984-2017 + 46 | 162 | (96) 30500 1.4 2000-2015 + N/A | N/A | (25.51) 1977-2015 + N/A | N/A | (23.98) 28300 1.3
PL
64000
91000
N/A
p
interval
knowledge
2.8
2007-2018 = -26 | 37 | (1) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1000
8000
N/A
p
estimate
noChange
#
0.2
2007-2018 x N/A 1980-2018 x N/A 4900 # 0.2 2005-2018 - N/A | N/A | (-39) 1980-2018 x N/A # 4900 0.2
RO
138719
319252
N/A
p
interval
method
8.2
2007-2018 x N/A 1980-2018 x N/A 33700 1.6 2007-2018 = N/A 1980-2018 = N/A 33700 1.6
SE
511000
665000
582000
p
estimate
genuine
20.7
2007-2018 + 36 | 77 | (55) 1980-2018 - -42 | -24 | (-34) 467600 21.6 2007-2018 = N/A 1980-2018 = N/A 466400 21.8
SI
15000
20000
N/A
p
estimate
noChange
#
0.6
2008-2018 x N/A 1980-2018 x N/A 4800 # 0.2 2007-2018 x N/A 1980-2018 = N/A | N/A | (18) # 4500 0.2
SK
60000
100000
N/A
p
estimate
noChange
2.9
2007-2018 = N/A 1980-2018 - -20 | -10 | (N/A) 31490 1.4 2007-2018 = N/A 1980-2018 = N/A 33600 1.6
UK
N/A
N/A
263951
p
estimate
genuine
#
9.4
2004-2016 + N/A | N/A | (29.54) 1980-2016 - N/A | N/A | (-11.42) # 245000 11.3 1989-2009 + 5.83 | 5.83 | (N/A) 1970-2009 = N/A # 243700 11.4
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 2250000 3990000 p + - 2130000 NE NE Secure A B Secure Pyrrhula pyrrhula