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.

Map is only available at subspecific level.

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, Periparus ater. 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 estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimatePartial
HU completeSurvey
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
CY estimatePartial
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 estimatePartial
LU estimatePartial
LV completeSurvey
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
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
800000
1200000
N/A
p
estimate
noChange
6.7
2007-2018 = N/A | N/A | (8) 1981-2018 x N/A 86000 3.5 2007-2018 = N/A | N/A | (7) 1981-2018 x N/A 80100 3.3 Periparus ater all others
BE
30600
66200
48400
p
estimate
method
#
0.3
2008-2018 = -7 | 22 | (6) 1973-2018 u -46 | 16 | (-15) # 28196 # 1.2 2008-2018 = N/A 1973-2018 + N/A | N/A | (15.18) 27900 1.2 Periparus ater all others
BG
300000
600000
N/A
p
estimate
noChange
3.0
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 29462 1.2 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 30600 1.3 Periparus ater all others
CY
43000
79000
N/A
p
estimate
genuine
100.0
2007-2018 + 31 | 43 | (N/A) 1980-2018 x N/A 2500 100.0 2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 2500 100.0 Periparus ater cypriotes
CZ
450000
900000
N/A
p
estimate
noChange
#
4.5
2007-2018 - N/A | N/A | (-2) 1982-2018 = N/A | N/A | (-1) # 76700 3.1 2002-2016 = N/A | N/A | (-1) 1986-2016 = N/A | N/A | (1) # 72200 3.0 Periparus ater all others
DE
1100000
1600000
N/A
p
estimate
genuine
9.0
2004-2016 - -24 | -6 | (-15) 1980-2016 = N/A | N/A | (2) 346060 14.2 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 357800 14.8 Periparus ater all others
DK
N/A
N/A
92589
p
estimate
genuine
#
0.6
2006-2017 = -42.82 | 5.1 | (-22.18) 1980-2017 - -51.38 | -25.78 | (-39.89) # 52700 2.2 1996-2017 = N/A | N/A | (1.15) 1974-2017 = N/A | N/A | (-7.11) # 52600 2.2 Periparus ater all others
EE
15000
25000
N/A
p
estimate
noChange
0.1
2007-2018 = -109 | 87 | (N/A) 1983-2018 = -83 | 69 | (N/A) 30200 1.2 2007-2018 = 8 | 11 | (N/A) 1980-2018 = 7 | 9 | (N/A) 11900 0.5 Periparus ater all others
ES
2690000
3655000
N/A
p
interval
noChange
21.2
2007-2018 = N/A 1980-2018 + N/A 167743 6.9 2007-2018 + N/A | N/A | (1.7) 1980-2018 + N/A | 65.5 | (N/A) 175900 7.3 Periparus ater all others
FI
35704
85421
61394
p
mean
genuine
0.4
2007-2018 = -27 | 2 | (-5) 1980-2018 = -42 | 103 | (9) 125100 5.1 N/A N/A N/A 1980-2010 + 64 | 64 | (N/A) 125100 5.2 Periparus ater all others
FR
600000
900000
N/A
p
estimate
knowledge
5.0
2007-2017 + N/A | N/A | (21.6) 2001-2018 - N/A | N/A | (-18) 174000 7.1 2009-2017 = N/A 1985-2017 - -25 | -20 | (N/A) 170500 7.1 Periparus ater all others
GR
340000
600000
N/A
p
estimate
knowledge
3.1
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 62800 2.6 2007-2018 x N/A 1980-2018 x N/A 56500 2.3 Periparus ater all others
HR
300000
500000
N/A
p
estimate
N/A
2.7
2007-2018 x N/A 1980-2018 x N/A 16500 0.7 2007-2018 x N/A 1980-2018 x N/A 16000 0.7 Periparus ater all others
HU
16000
30000
N/A
p
interval
knowledge
#
0.1
2007-2018 u N/A | N/A | (26) 1980-2018 + N/A | N/A | (245) # 27454 1.1 2007-2018 = N/A 1980-2018 + 0 | 20 | (N/A) # 28900 1.2 Periparus ater all others
IE
612205
1088460
836424
i
interval
genuine
#
N/A
2006-2016 + 8.4 | 23.7 | (15.8) 1980-2016 x N/A 78400 3.2 2006-2016 = N/A | N/A | (8) 1972-2016 + N/A | N/A | (18.1) # 77400 3.2 Periparus ater all others
IT
1000000
2000000
N/A
p
estimate
noChange
10.0
2000-2014 = N/A 1993-2018 + 25 | 35 | (N/A) 167900 6.9 2007-2018 = N/A 1993-2018 + 30 | 35 | (N/A) 165900 6.9 Periparus ater all others
LT
50000
100000
N/A
p
estimate
noChange
0.5
2013-2018 = N/A 1980-2018 = N/A 28100 1.1 2006-2018 = N/A 1980-2018 = N/A 27800 1.1 Periparus ater all others
LU
8000
12000
N/A
p
estimate
noChange
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 912 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500 0.1 Periparus ater all others
LV
92967
175364
127683
p
interval
genuine
0.8
2005-2018 u -10.4 | 111.7 | (38.7) 1991-2016 + 64 | 65 | (N/A) 54400 2.2 2000-2017 + N/A | N/A | (23) 1980-2017 + N/A | N/A | (256) 53700 2.2 Periparus ater all others
NL
16000
20000
N/A
p
estimate
genuine
0.1
2006-2017 - -51 | -40 | (-46) 1984-2017 - -59 | -37 | (-49) 24100 1.0 2000-2015 = N/A | N/A | (-3.6) 1977-2015 = N/A | N/A | (1.68) 22000 0.9 Periparus ater all others
PL
725000
982000
N/A
p
interval
genuine
5.7
2007-2018 = -16 | 7 | (-5) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A Periparus ater all others
PT
100000
500000
N/A
p
estimate
noChange
#
2.0
2007-2018 - N/A 1980-2018 x N/A # 43700 # 1.8 2005-2018 = N/A | N/A | (-15) 1980-2018 = N/A # 43300 1.8 Periparus ater all others
RO
1333428
1863563
N/A
p
interval
method
10.7
2008-2018 u -4 | 10 | (N/A) 1980-2018 x N/A 85800 3.5 2007-2018 = N/A 1980-2018 = N/A 85800 3.5 Periparus ater all others
SE
250000
573000
410000
p
estimate
noChange
2.7
2007-2018 = -12 | 9 | (-2) 1980-2018 - -49 | -32 | (-41) 422800 17.4 2007-2018 = N/A 1980-2018 + 0 | 10 | (5) 422600 17.5 Periparus ater all others
SI
438300
601000
N/A
p
estimate
genuine
3.5
2008-2018 + N/A | N/A | (57) 1980-2018 x N/A 10300 # 0.4 2007-2018 x N/A 1980-2018 + N/A | N/A | (29) # 9400 0.4 Periparus ater all others
SK
250000
500000
N/A
p
estimate
knowledge
2.5
2007-2018 + 5 | 15 | (N/A) 1980-2018 + 5 | 15 | (N/A) 36607 1.5 2007-2018 = N/A 1980-2018 = N/A 39000 1.6 Periparus ater all others
UK
N/A
N/A
661961
p
estimate
genuine
#
4.4
2004-2016 = N/A | N/A | (-9.18) 1980-2016 = N/A | N/A | (1.57) # 260800 10.7 1989-2009 + 6.36 | 6.36 | (N/A) 1970-2009 = 2.84 | 2.84 | (N/A) 259600 10.8 Periparus ater all others
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 11000000 18700000 p = = 2350000 NE NE Secure A B Secure Periparus ater
EU28 10900000 18600000 p = = 2350000 NE NE Secure A B Not Evaluated Periparus ater all others
EU28 43000 79000 p x x 2500 NE NE Unknown E B Secure Periparus ater cypriotes