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, Cyanecula svecica. 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 completeSurvey
BE estimatePartial
CY
CZ completeSurvey
DE estimateExpert
DK absentData
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
HR estimateExpert
HU estimatePartial
IT
LT estimatePartial
LU completeSurvey
LV estimatePartial
NL completeSurvey
PL estimateExpert
PT
RO estimateExpert
SE estimatePartial
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
CY
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
HR estimateExpert
HU completeSurvey
IT
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL absentData
PT
RO estimateExpert
SE estimatePartial
SK estimatePartial
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
CY estimatePartial
CZ
DE
DK
EE
ES completeSurvey
FI
FR
HR
HU
IT estimatePartial
LT
LU
LV
NL
PL
PT estimatePartial
RO
SE
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
130
200
N/A
p
estimate
genuine
2007-2018 - -80 | -50 | (N/A) 1981-2018 - -80 | -40 | (N/A) 6400 1.7 2007-2018 - N/A | N/A | (-30) 1981-2018 - -40 | -20 | (N/A) 5900 1.6
BE
3700
5400
4600
p
estimate
genuine
1.3
2008-2018 = -13 | 27 | (8) 1973-2018 + 517 | 800 | (667) 17378 # 4.7 2008-2018 = N/A 1973-2018 + N/A | N/A | (134.3) 18000 4.8
CY
100 200 N/A i estimate method # 5.3 2007-2018 x N/A 1980-2018 x N/A I
CZ
1000
2000
N/A
p
estimate
genuine
0.4
2007-2018 x N/A 1980-2018 x N/A # 18900 5.1 2002-2016 + N/A | N/A | (42) 1986-2016 + N/A | N/A | (312) # 18600 4.9
DE
12000
21000
N/A
p
estimate
genuine
4.6
2004-2016 + N/A | N/A | (41) 1985-2016 + N/A | N/A | (109) 97612 26.4 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 41 | 180 | (N/A) 104300 27.7
DK
N/A
N/A
0
p
estimate
noChange
2013-2018 N/A N/A 1980-2018 N/A N/A 15100 4.1 1996-2017 + N/A | N/A | (7450) 1974-2017 + N/A # 14800 3.9
EE
5
20
N/A
p
estimate
noInfo
2006-2017 u -10 | 10 | (N/A) 1980-2017 u -10 | 10 | (N/A) 1600 0.4 2007-2018 u N/A | N/A | (29) 1980-2018 u N/A | N/A | (-6) 1600 0.4
ES
9000
12800
N/A
p
interval
noChange
3.1
1998-2015 - -46.7 | -5.9 | (N/A) 1980-2015 = N/A 5046 1.4 2007-2018 - N/A 1980-2018 = N/A N/A N/A 1845 i minimum method 64.8 2007-2016 + N/A | N/A | (16.5) 1980-2016 - N/A I 5000 1.3
FI
45705
90866
62215
p
interval
knowledge
17.4
2007-2018 = -27 | 33 | (-1) 1981-2018 = -82 | -35 | (-66) 33100 8.9 N/A N/A N/A 1980-2010 - 40 | 40 | (N/A) 32900 8.8
FR
10000
16000
N/A
p
estimate
method
3.6
2007-2018 + N/A | N/A | (33.8) 2001-2017 = -23 | 29 | (N/A) 32300 8.7 2013-2018 + -2 | 30 | (15) 1989-2017 + N/A | N/A | (40) 32300 8.6
HR
10
100
N/A
p
estimate
N/A
2007-2018 F -90 | 900 | (N/A) 1980-2018 x N/A 93 2007-2018 x N/A 1980-2018 x N/A 400 0.1
HU
1200
2000
N/A
p
estimate
method
#
0.5
2007-2018 = N/A 1998-2018 x N/A # 13268 3.6 2007-2018 = N/A 1980-2018 x N/A # 13500 3.6
IT
400 700 N/A i estimate method # 19.3 2008-2018 = N/A 1993-2018 x N/A I
LT
250
400
N/A
p
estimate
knowledge
2013-2018 = N/A 1980-2018 = N/A 1600 0.4 2006-2018 = N/A 1980-2018 x N/A 1600 0.4
LU
1
2
N/A
p
estimate
genuine
#
2007-2018 + 100 | 200 | (N/A) 1980-2018 + 100 | 200 | (N/A) 11 # 2007-2018 + N/A | N/A | (100) 1980-2018 + N/A | N/A | (100) 400 0.1
LV
150
300
N/A
p
estimate
noChange
2012-2018 = N/A 1991-2017 - -47 | -35 | (N/A) 2400 0.7 2000-2017 + N/A | N/A | (50) 1980-2017 + N/A | N/A | (200) 2400 0.6
NL
11000
14000
N/A
p
estimate
knowledge
3.5
2006-2017 + 56 | 84 | (69) 1984-2017 + 336 | 530 | (424) 37200 10.1 2000-2015 + N/A | N/A | (12.72) 1977-2015 + N/A | N/A | (241.28) 36500 9.7
PL
1300
1800
N/A
p
estimate
noChange
0.4
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
PT
200 750 302 i mean method # 10.6 2007-2018 + N/A 1980-2018 x N/A I
RO
200
500
N/A
p
estimate
knowledge
0.1
2007-2018 x N/A 1980-2018 x N/A 2400 0.7 2007-2018 x N/A 1980-2018 x N/A 2400 0.6
SE
140000
317000
231000
p
estimate
noChange
64.8
2007-2018 = -20 | 31 | (2) 1980-2018 - -30 | -10 | (-20) 85200 23.0 2007-2018 = N/A 1980-2018 = N/A 84800 22.5
SK
15
30
N/A
p
estimate
noChange
2007-2018 = N/A 1980-2018 + 0 | 10 | (N/A) 712 0.2 2007-2018 = N/A 1980-2018 + 0 | 10 | (N/A) 800 0.2
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 235000 484000 p = - 367000 NE NE 2500 3500 i NE NE Depleted Not evaluated B B Depleted Cyanecula svecica