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, Ardea cinerea. 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 completeSurvey
BG estimatePartial
CY
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI estimatePartial
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL estimateExpert
PT completeSurvey
RO estimateExpert
SE estimatePartial
SI 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
CY
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimatePartial
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO estimateExpert
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 estimateExpert
CY estimatePartial
CZ completeSurvey
DE
DK
EE
ES completeSurvey
FI
FR
GR
HR
HU
IE estimatePartial
IT
LT
LU
LV
NL
PL completeSurvey
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
1150
1250
N/A
p
estimate
genuine
0.8
2007-2017 - N/A | N/A | (-13) 1981-2017 + N/A | N/A | (70) 11900 0.9 2007-2018 = N/A | N/A | (0) 1981-2018 + 150 | 250 | (N/A) 11600 1.0
BE
1600
2100
1900
p
estimate
genuine
1.3
2008-2018 - -36 | -16 | (-24) 1973-2018 + 135 | 209 | (179) 15756 # 1.2 2008-2018 = N/A | N/A | (11.93) 1973-2018 + N/A | N/A | (370.33) 20500 1.8
BG
800
1200
N/A
p
estimate
noChange
0.7
2000-2018 = 0 | 0 | (N/A) 1980-2018 + 5 | 10 | (N/A) 32071 2.5 2000-2018 x N/A 1980-2018 x N/A 1000 2000 N/A i estimate noChange N/A 2007-2018 = N/A 1980-2018 = N/A other 33400 3.0
CY
160 380 N/A i estimate genuine N/A 2007-2018 + 20 | 60 | (N/A) 1980-2018 + 500 | 1000 | (N/A) other
CZ
3000
4000
N/A
p
estimate
noChange
#
2.4
2001-2017 + 5 | 33 | (N/A) 1981-2017 - N/A | N/A | (-3) # 51700 4.1 2002-2016 + N/A | N/A | (12) 1986-2016 + N/A | N/A | (77) # 2537 3168 N/A i estimate N/A N/A 2008-2019 + N/A | N/A | (2) 1980-2019 + N/A | N/A | (1) # other 51400 4.6
DE
20000
25000
N/A
p
estimate
genuine
15.4
2004-2016 - N/A | N/A | (-17) 1980-2016 + 40 | 88 | (62) 163527 12.9 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 167700 15.0
DK
N/A
N/A
5521
p
estimate
genuine
#
3.8
2006-2017 = -35.18 | 73.48 | (7.12) 1980-2017 + 11.82 | 124.08000 | (58.55) # 23200 1.8 1996-2017 + N/A | N/A | (16.58) 1974-2017 + N/A | N/A | (139.17) # 22500 2.0
EE
2000
3000
N/A
p
estimate
genuine
1.7
2006-2017 = 23 | 66 | (N/A) 1980-2017 + 66 | 92 | (N/A) 5400 0.4 2007-2018 = N/A 1980-2018 = 4 | 19 | (N/A) 5400 0.5
ES
5424
5524
N/A
p
interval
knowledge
3.8
2007-2018 + N/A | N/A | (33) 1980-2018 + N/A | N/A | (370) # 111302 8.8 2007-2018 + 0.2 | 193.9 | (50) 1980-2018 + 130 | 781.7 | (N/A) # 12807 17443 15453 i estimate knowledge # N/A 2007-2018 + N/A | N/A | (29.7) 1980-2018 + N/A | N/A | (30) # other 117700 10.5
FI
1000
1500
1250
p
estimate
genuine
0.9
2007-2018 + N/A | N/A | (65) 1987-2018 + N/A # 23300 1.8 N/A N/A N/A 1980-2010 + 459 | 459 | (N/A) 23300 2.1
FR
29179
29179
N/A
p
estimate
genuine
20.0
2007-2014 - -8 | -8 | (-8) 1981-2014 + 192 | 192 | (N/A) 211700 16.7 2013-2018 = 6 | 6 | (N/A) 1989-2018 + 30 | 40 | (N/A) # 211300 18.9
GR
N/A
N/A
1484
p
minimum
genuine
1.0
2007-2018 + N/A | N/A | (25) 1980-2018 + N/A | N/A | (284) 11700 0.9 2007-2018 x N/A 1980-2018 x N/A 11700 1.1
HR
2700
3500
N/A
p
estimate
N/A
2.1
2007-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 229 2007-2018 = N/A 1980-2018 = N/A 4000 0.4
HU
2970
3343
N/A
p
estimate
knowledge
2.2
2007-2018 = N/A 1976-2018 + N/A | N/A | (82) # 13508 1.1 2000-2018 = N/A 1978-2018 + N/A | N/A | (207) # 13600 1.2
IE
N/A
N/A
3087
p
estimate
noChange
#
2.1
2000-2011 = N/A | N/A | (0) 1980-2011 = N/A | N/A | (0) # 31200 # 2.5 1991-2011 = N/A | N/A | (0) 1972-2011 = N/A | N/A | (0) # N/A N/A 1943 i mean genuine # N/A 2004-2016 - N/A | N/A | (-12.9) 1987-2016 x N/A other 30600 2.7
IT
10338
11798
N/A
p
estimate
genuine
7.6
2002-2018 = N/A 1993-2018 + 290 | 935 | (N/A) 59100 4.7 2007-2018 + 10 | 15 | (N/A) 1993-2018 + 1255 | 1260 | (N/A) 59100 5.3
LT
1100
1500
N/A
p
estimate
genuine
0.9
2013-2018 - -62 | -45 | (N/A) 1980-2018 - -40 | -20 | (N/A) 8000 0.6 2006-2018 - -5 | 0 | (N/A) 1980-2018 - -20 | -15 | (N/A) 8000 0.7
LU
90
130
N/A
p
estimate
knowledge
#
2007-2018 + 30 | 40 | (N/A) 1980-2018 + 100 | 300 | (N/A) 1239 # 0.1 2007-2018 + 10 | 20 | (N/A) 1980-2018 + 100 | 300 | (N/A) # 3600 0.3
LV
1100
2000
N/A
p
estimate
method
1.1
2000-2017 = -10.78 | -8.65 | (-9.74) 1980-2017 + 73 | 76 | (N/A) 17800 1.4 2000-2017 + N/A | N/A | (74) 1980-2017 + N/A | N/A | (249) 17800 1.6
NL
8150
11500
N/A
p
estimate
noChange
#
6.7
2006-2017 - -33 | -24 | (-29) 1980-2017 + 45 | 49 | (47) 30800 2.4 2000-2015 + N/A | N/A | (10.39) 1977-2015 + N/A | N/A | (56.34) 30500 2.7
PL
9000
9500
N/A
p
estimate
noChange
6.3
2007-2018 u -62 | 18 | (-32) 1980-2018 = 0 | 0 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A 1500 2900 2000 i minimum noChange N/A 2011-2018 + 50 | 101 | (74) 1980-2018 x N/A # other N/A N/A
PT
1234
1550
N/A
p
estimate
noChange
0.9
N/A = N/A 1980-2018 = N/A # 32200 # 2.5 2005-2018 - N/A | N/A | (-37) 1980-2018 x N/A # 32000 2.9
RO
4500
10000
N/A
p
estimate
knowledge
5.0
2008-2018 u -23 | 7 | (N/A) 1980-2018 = N/A 29800 2.4 2007-2018 x N/A 1980-2018 x N/A 29700 2.6
SE
5500
8600
7000
p
estimate
genuine
4.8
2007-2018 + 3 | 62 | (30) 1980-2018 + 7 | 89 | (42) 168400 13.3 2007-2018 = N/A 1980-2018 = N/A N/A N/A
SI
1000
1500
N/A
p
estimate
noChange
0.9
2007-2018 x N/A 1980-2018 + 200 | 400 | (N/A) # 2800 # 0.2 2007-2018 + 10 | 20 | (N/A) 1980-2018 + N/A | N/A | (88) # 2800 0.2
SK
500
1000
N/A
p
estimate
genuine
0.5
2007-2018 + 20 | 30 | (N/A) 1980-2018 + 10 | 30 | (N/A) 5209 0.4 2007-2018 = N/A 1980-2018 + 10 | 30 | (N/A) 5700 0.5
UK
10023
11159
10551
p
estimate
genuine
7.2
2004-2016 - N/A | N/A | (-29.01000) 1980-2016 = N/A | N/A | (-9) # 207500 16.4 1989-2009 - -15.79 | -15.79 | (N/A) 1970-2009 + 15.6 | 15.6 | (N/A) 205500 18.4
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 127000 150000 p - + 1230000 NE NE Secure A B Secure Ardea cinerea