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.

Warning: The map does not show the distribution for sensitive species in GR

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.

Sensitive spatial information for this species is not shown in the map. Current selection: 2013-2018, Circus aeruginosus. 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 completeSurvey
BG estimatePartial
CY
CZ completeSurvey
DE estimateExpert
DK estimateExpert
EE estimatePartial
ES completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
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
CY
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimatePartial
HU completeSurvey
IT estimatePartial
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
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
CY estimatePartial
CZ
DE
DK
EE
ES completeSurvey
FI
FR
GR
HR estimateExpert
HU
IT estimatePartial
LT
LV
NL
PL
PT estimatePartial
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
350
500
N/A
bfemales
estimate
noChange
0.6
2007-2018 = N/A | N/A | (0) 1981-2018 + 100 | 200 | (N/A) 17800 1.5 2007-2018 + N/A | N/A | (27) 1981-2018 + 600 | 800 | (N/A) 16200 1.3
BE
110
180
140
bfemales
estimate
genuine
0.2
2008-2018 + 2 | 67 | (30) 1973-2018 + 340 | 620 | (460) # 10878 # 0.9 2008-2018 + N/A | N/A | (188.85) 1973-2018 + N/A | N/A | (453.59) 18500 1.5
BG
220
260
N/A
bfemales
estimate
noChange
0.3
2000-2018 = 0 | 0 | (N/A) 1980-2018 + 400 | 450 | (N/A) 20970 1.8 2000-2018 + 20 | 40 | (N/A) 1980-2018 + 50 | 70 | (N/A) 21600 1.8
CY
13 38 N/A i estimate genuine # 0.3 2007-2018 + 30 | 50 | (N/A) 1980-2018 + 100 | 250 | (N/A) I
CZ
1500
2000
N/A
bfemales
estimate
knowledge
#
2.6
2007-2018 + N/A | N/A | (4) 1982-2018 + N/A | N/A | (4) # 59600 5.0 2002-2016 = N/A | N/A | (0.6) 1986-2016 + N/A | N/A | (33.87) # 58500 4.8
DE
6500
9000
N/A
bfemales
estimate
genuine
11.4
2004-2016 - N/A | N/A | (-12) 1980-2016 = N/A | N/A | (1) 198452 16.6 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 210100 17.3
DK
N/A
N/A
1070
bfemales
estimate
noChange
1.6
2004-2017 = N/A 1980-2017 = N/A 35900 3.0 1996-2017 + N/A | N/A | (51.47) 1974-2017 + N/A | N/A | (378.66) # 35700 2.9
EE
1000
1300
N/A
bfemales
estimate
genuine
1.7
2007-2018 + 43 | 69 | (N/A) 1987-2018 + 93 | 194 | (N/A) 37200 3.1 2007-2018 + 21 | 61 | (N/A) 1980-2018 + 69 | 215 | (N/A) 25300 2.1
ES
1342
1589
1372
bfemales
estimate
genuine
#
2.0
2007-2018 + N/A | N/A | (60) 1980-2018 + N/A | N/A | (250) 97460 8.1 2007-2018 + 25 | 100 | (N/A) 1980-2018 + N/A | N/A | (1000) 5601 5919 N/A i estimate noChange 76.9 2006-2018 + N/A | N/A | (40) 1980-2018 + N/A | N/A | (400) I 104800 8.6
FI
651
737
691
cmales
interval
knowledge
#
N/A
2007-2018 = -24 | 16 | (-6) 1982-2018 + 81 | 280 | (163) 75500 6.3 N/A N/A N/A 1980-2010 + 187 | 187 | (N/A) 75400 6.2
FR
1600
2200
1900
bfemales
estimate
noChange
2.8
2014-2017 = N/A | N/A | (0) 1989-2018 x N/A 69500 5.8 2013-2018 + 5 | 10 | (N/A) 1989-2018 = N/A 69000 5.7
GR
50
100
N/A
bfemales
estimate
knowledge
0.1
2007-2018 - N/A | N/A | (-18) 1980-2018 = N/A | N/A | (0) 20200 # 1.7 2007-2018 x N/A 1980-2018 x N/A 20200 1.7
HR
40
60
N/A
bfemales
estimate
N/A
2003-2010 = N/A 1980-2018 x N/A 212 2003-2010 = N/A 1980-2018 x N/A N/A N/A 14 i minimum N/A 0.2 2007-2018 x N/A 1980-2013 x N/A I 9500 0.8
HU
N/A
N/A
9000
bfemales
estimate
knowledge
#
13.3
2007-2018 x N/A 1980-2018 F N/A # 55944 # 4.7 2007-2018 = N/A 1980-2018 + 5 | 20 | (N/A) 56700 4.7
IT
214
287
N/A
bfemales
estimate
genuine
0.4
2007-2018 x N/A 1993-2018 + 185 | 330 | (N/A) 28100 2.4 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 205 | 210 | (N/A) 868 965 N/A i estimate noChange 12.2 2009-2015 = N/A 1991-2015 + 25 | 45 | (N/A) I 28100 2.3
LT
2000
2500
N/A
bfemales
estimate
knowledge
3.3
2013-2018 - -10 | 0 | (N/A) 1980-2018 = N/A 36400 3.0 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 35700 2.9
LV
7715
22056
12774
bfemales
interval
method
#
18.9
2007-2018 u -39.06000 | 92.56 | (10.32) 1980-2018 x N/A 49400 4.1 2000-2017 = N/A | N/A | (2) 1980-2017 + N/A | N/A | (250) 49200 4.0
NL
900
1200
N/A
bfemales
estimate
genuine
#
1.6
2006-2017 - -18 | -2 | (-10) 1980-2017 - -26 | -22 | (-24) 26200 2.2 2000-2015 = N/A | N/A | (-7.42) 1977-2015 + N/A | N/A | (40.86) 25600 2.1
PL
6600
7400
N/A
bfemales
mean
noChange
10.3
2007-2018 = -15 | 34 | (7) 1980-2018 + N/A | N/A | (16) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
150
300
N/A
bfemales
estimate
noChange
#
0.3
2007-2018 x N/A 1980-2018 x N/A 10300 # 0.9 2005-2018 = N/A | N/A | (8) 1980-2018 = N/A # 500 1250 777 i mean method # 10.4 2007-2018 + N/A 1980-2018 + N/A I 10200 0.8
RO
9334
22314
N/A
bfemales
interval
method
23.4
2008-2018 u -10 | 9 | (N/A) 1980-2018 x N/A 101600 8.5 2007-2018 x N/A 1980-2018 x N/A 99600 8.2
SE
1300
1700
1500
bfemales
estimate
genuine
#
2.2
2007-2018 = -20 | 60 | (19) 1980-2018 + 200 | 300 | (250) 202900 16.9 2007-2018 = N/A 1980-2018 + 100 | 150 | (125) 202800 16.7
SI
2
5
N/A
bfemales
estimate
genuine
#
2007-2018 + 100 | 150 | (N/A) 1980-2018 + 100 | 400 | (N/A) # 400 # 2007-2018 + N/A | N/A | (300) 1980-2018 + N/A | N/A | (300) # 400
SK
1000
1500
N/A
bfemales
estimate
noChange
1.9
2007-2018 = N/A 1980-2018 + 100 | 200 | (N/A) 18676 1.6 2007-2018 = N/A 1980-2018 + 20 | 30 | (N/A) 19400 1.6
UK
588
695
N/A
bfemales
estimate
genuine
#
0.9
2001-2016 + N/A | N/A | (30) 1978-2016 + N/A | N/A | (1556) # 24200 2.0 1989-2009 + 106.84 | 106.84 | (N/A) 1970-2009 + 868 | 868 | (N/A) 24400 2.0
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 43900 65700 bfemales = + 1090000 NE NE 6900 8200 i NE NE Secure Not evaluated A B Secure Circus aeruginosus