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, Fulica atra. 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 estimateExpert
BG estimatePartial
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES estimatePartial
ESIC completeSurvey
FI completeSurvey
FR estimateExpert
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
MT
NL completeSurvey
PL estimateExpert
PT estimatePartial
PTAC
PTMA estimatePartial
RO completeSurvey
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 estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
ESIC completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT
NL completeSurvey
PL absentData
PT estimatePartial
PTAC
PTMA completeSurvey
RO completeSurvey
SE estimatePartial
SI estimateExpert
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 completeSurvey
BE completeSurvey
BG completeSurvey
CY estimatePartial
CZ completeSurvey
DE estimatePartial
DK completeSurvey
EE completeSurvey
ES completeSurvey
ESIC
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR absentData
HU estimatePartial
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT estimateExpert
NL estimatePartial
PL completeSurvey
PT completeSurvey
PTAC absentData
PTMA
RO estimatePartial
SE completeSurvey
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 Status Distrib. % MS
AT
2400
4300
N/A
p
estimate
noChange
0.5
2007-2018 = N/A | N/A | (10) 1981-2018 + 20 | 40 | (N/A) 27900 1.6 2007-2018 - N/A | N/A | (-15) 1981-2018 = N/A | N/A | (0) 17000 26000 N/A i estimate noChange 1.0 2007-2018 = N/A | N/A | (2) 1981-2014 - N/A | N/A | (-49) keywintering 26000 1.5
BE
21300
51800
36500
p
estimate
genuine
5.2
2008-2018 + 36 | 190 | (100) 1973-2018 + 420 | 1163 | (790) # 26956 # 1.5 2008-2018 = N/A 1973-2018 + N/A | N/A | (33.37) 31000 37000 34000 i interval method 1.6 2007-2018 = -5 | 21 | (7) 1992-2018 - -30 | -14 | (-23) keywintering 26000 1.5
BG
1700
3000
N/A
p
estimate
noChange
0.3
2000-2018 = 0 | 5 | (N/A) 1980-2018 F N/A 24593 1.4 2000-2018 = 0 | 5 | (N/A) 1980-2018 F N/A 30000 82000 N/A i estimate noChange 2.6 2000-2018 + 10 | 50 | (N/A) 1980-2018 - -60 | -10 | (N/A) keywintering 25200 1.4
CY
50
220
N/A
p
estimate
genuine
#
2007-2018 - -50 | -12 | (N/A) 1980-2018 x N/A 2700 0.1 2007-2018 + N/A | N/A | (42) 1980-2018 x N/A 1000 2300 N/A i estimate genuine 2007-2018 - -50 | 0 | (N/A) 1980-2018 + 300 | 800 | (N/A) keywintering 2700 0.2
CZ
18000
36000
N/A
p
estimate
noChange
#
3.9
2001-2017 - -10 | -10 | (N/A) 1981-2017 - N/A | N/A | (-8) # 50000 2.8 2002-2016 - N/A | N/A | (-11) 1986-2016 - N/A | N/A | (-11.17) # 10193 13156 N/A i estimate N/A 0.6 2008-2019 + N/A | N/A | (1) 1980-2019 - N/A | N/A | (-1) # keywintering 49300 2.8
DE
61000
105000
N/A
p
mean
genuine
11.9
2004-2016 = N/A | N/A | (-10) 1980-2016 = N/A | N/A | (-8) 316212 18.0 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) N/A N/A 390000 i mean genuine 18.2 2003-2016 - -13 | -9 | (-11) 1980-2016 = 4 | 11 | (7) keywintering 331100 19.0
DK
N/A
N/A
6414
p
estimate
genuine
#
0.9
2006-2017 - -78.93 | -35.95 | (-62.79) 1980-2017 - -66.89 | -28.12 | (-51.11) # 51200 2.9 1996-2017 = N/A | N/A | (-9.05000) 1974-2017 = N/A | N/A | (-1.72) # N/A N/A 93116 i estimate genuine # 4.3 2006-2017 - N/A | N/A | (-50) 1987-2017 = N/A # keywintering 51100 2.9
EE
1500
3000
N/A
p
estimate
genuine
0.3
2007-2018 - -82 | -61 | (N/A) 2001-2018 - -115 | -94 | (N/A) 23000 1.3 2007-2018 = N/A | N/A | (10) 1980-2018 - N/A | N/A | (-25) 50 2500 N/A i estimate genuine 2006-2017 + 20 | 50 | (N/A) 1980-2017 F N/A keywintering 13200 0.8
ES
N/A
N/A
56250
p
estimate
genuine
8.1
2007-2018 - N/A | N/A | (-2.08000) 1980-2018 - N/A | N/A | (-2.8) # 102656 5.8 2007-2018 - N/A | N/A | (-0.18) 1980-2018 - N/A | N/A | (-0.18) # 74547 111297 N/A i estimate knowledge 4.3 2007-2018 + N/A | N/A | (29) 1980-2018 + N/A | 768.7 | (N/A) # keywintering 108100 6.2
ESIC
N/A
N/A
267
p
estimate
genuine
#
2007-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 4500 0.3 2007-2018 + N/A | N/A | (54) 1980-2018 + N/A | N/A | (88.76) # 5200 0.3
FI
2056
3576
2864
p
mean
genuine
#
0.4
2007-2018 - 63 | 79 | (72) 1986-2018 - 66 | 76 | (71) 67200 3.8 N/A N/A N/A 1980-2010 - 12 | 12 | (N/A) 18 193 106 i minimum genuine 2007-2018 - 78 | 94 | (85) 1980-2018 = -63 | 212 | (9) keywintering 67200 3.9
FR
60000
100000
N/A
p
estimate
noChange
#
11.5
2000-2012 = N/A 1990-2012 + N/A 279800 15.9 2007-2018 = 1.7 | 6.1 | (N/A) 1985-2012 + N/A | N/A | (16) 268335 268335 N/A i estimate genuine 12.5 2007-2017 = -4 | 19 | (7) 1980-2017 + 13 | 19 | (16) keywintering 277500 15.9
GR
2500
5000
N/A
p
estimate
knowledge
0.5
2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-12.5) 16000 # 0.9 2007-2018 x N/A 1980-2018 x N/A 111981 212671 N/A i estimate knowledge 7.6 2007-2018 + N/A | N/A | (25) 1980-2018 x N/A keywintering 15800 0.9
HR
N/A
N/A
6700
i
mean
N/A
#
N/A
2007-2018 x N/A 1980-2018 x N/A 44134 # 2.5 2007-2018 x N/A 1980-2018 x N/A N/A N/A 0 i minimum N/A # 2007-2018 x N/A 1980-2018 x N/A keywintering 19600 1.1
HU
10000
20000
N/A
p
estimate
knowledge
#
2.1
2007-2018 x N/A 1980-2018 - -88 | -83 | (N/A) # 36328 2.1 2007-2018 = N/A 1980-2018 x N/A 5000 6000 N/A i estimate noChange # 0.3 2008-2018 - -50 | 0 | (N/A) 1980-2018 - -76 | -18 | (N/A) # keywintering 36900 2.1
IE
N/A
N/A
3462
p
estimate
noChange
#
0.5
2000-2011 = N/A | N/A | (0) 1972-2011 x N/A # 28500 # 1.6 1993-2001 + N/A | N/A | (6) 1976-2011 - N/A | N/A | (-38) # N/A N/A 13303 i mean genuine # 0.6 2004-2016 - N/A | N/A | (-35.3) 1987-2016 x N/A keywintering 27900 1.6
IT
8000
12000
N/A
p
estimate
noChange
1.4
2007-2018 x N/A 1993-2018 + 0 | 60 | (N/A) 135100 7.7 2007-2018 = N/A 1993-2018 + 135 | 140 | (N/A) 216029 229231 N/A i estimate genuine 10.4 2009-2015 - -20 | -5 | (N/A) 1991-2015 = N/A keywintering 135000 7.8
LT
24000
36000
N/A
p
estimate
noChange
4.3
2013-2018 - -5 | 0 | (N/A) 1980-2018 + 10 | 20 | (N/A) 29100 1.6 2006-2018 - -10 | -5 | (N/A) 1980-2018 - -10 | -5 | (N/A) 100 3200 N/A i estimate noInfo 2013-2018 u N/A 1980-2018 x N/A keywintering 29000 1.7
LU
80
100
N/A
p
estimate
noChange
2007-2018 + 0 | 20 | (N/A) 1980-2018 + 20 | 40 | (N/A) 390 # 2007-2018 = 0 | 10 | (N/A) 1980-2018 + 10 | 20 | (N/A) 700 2000 N/A i estimate noChange 2007-2018 F N/A 1980-2018 + 0 | 50 | (N/A) keywintering 2700 0.2
LV
5800
7000
N/A
p
estimate
method
0.9
2012-2017 x N/A 1991-2017 - N/A | N/A | (-29) 23700 1.4 2000-2017 = N/A | N/A | (-4) 1980-2017 = N/A | N/A | (-10) 22 460 N/A i estimate noChange 2009-2018 u -86.2 | 36.1 | (-53.3) 1991-2018 u -2.6 | 954.4 | (229) keywintering 23700 1.4
MT
35 60 N/A i estimate noInfo 2008-2018 + N/A | N/A | (10) 1980-2018 + N/A | N/A | (10) keywintering
NL
110000
140000
N/A
p
estimate
genuine
17.9
2006-2017 = -7 | 2 | (-2) 1984-2017 + 15 | 41 | (27) 43700 2.5 2000-2015 = N/A | N/A | (-1.57) 1977-2015 = N/A | N/A | (0.22) 331492 395536 376831 i mean noInfo 17.6 2006-2017 + 1 | 38 | (18) 1981-2017 - -39 | -17 | (-29) keywintering 40700 2.3
PL
30000
60000
N/A
p
estimate
genuine
6.5
2007-2018 + 26 | 106 | (61) 1980-2018 - -90 | -80 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A 23200 39200 31300 i minimum genuine 1.5 2011-2018 + 166 | 357 | (250) 1980-2018 x N/A # keywintering N/A N/A
PT
4000
20000
N/A
p
estimate
N/A
#
1.7
2007-2018 + N/A 1980-2018 + N/A # 19500 # 1.1 2005-2018 = N/A | N/A | (-10) 1980-2018 = N/A # 9970 25601 16229 i mean N/A 0.8 2007-2018 = -19 | 3 | (-9) 1988-2018 u N/A # keywintering 19400 1.1
PTAC
N/A N/A N/A N/A minimum N/A N/A 2007-2018 x N/A 1980-2018 x N/A keywintering
PTMA
0
50
N/A
p
estimate
noChange
#
2008-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 200 2001-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 200
RO
48698
95138
N/A
p
interval
method
10.3
2007-2018 x N/A 1980-2018 x N/A 74900 4.2 2007-2018 = N/A 1980-2018 x N/A 78773 134561 N/A i mean knowledge 5.0 2013-2018 = -2.66 | 1.23 | (N/A) 2000-2018 = -0.12 | 3.31 | (N/A) keywintering 73800 4.2
SE
31000
53000
42000
p
estimate
genuine
#
6.0
2007-2018 = -43 | 12 | (0) 1980-2018 = -18 | 43 | (0) 133100 7.6 2007-2018 = N/A 1980-2018 = N/A 12000 22000 17000 i mean noChange 0.8 2007-2018 F -10 | 18 | (-2) 1980-2018 + 76 | 112 | (92) # keywintering 133100 7.7
SI
300
500
N/A
p
estimate
noChange
2007-2018 x N/A 1980-2018 x N/A 4000 # 0.2 2007-2018 x N/A 1980-2018 = N/A | N/A | (-8) # 2600 9000 N/A i estimate genuine 0.3 2007-2018 - N/A | N/A | (-52) 1980-2018 = 0 | 0 | (N/A) keywintering 3600 0.2
SK
4000
8000
N/A
p
estimate
noChange
0.9
2007-2018 = N/A 1980-2018 = N/A 25507 1.4 2007-2018 = N/A 1980-2018 = N/A 6000 7000 N/A i estimate knowledge 0.3 2007-2018 - -40 | -20 | (N/A) 1980-2018 = N/A keywintering 26900 1.6
UK
N/A
N/A
26032
p
estimate
noChange
#
3.7
2004-2016 - N/A | N/A | (-19.24) 1980-2016 + N/A | N/A | (18.1) # 170000 9.7 1989-2009 = 0.53 | 0.53 | (N/A) 1970-2009 - -5.45 | -5.45 | (N/A) N/A N/A 204081 i mean method # 9.5 2005-2016 - N/A | N/A | (-25.4) 1984-2016 = N/A | N/A | (-2.9) # keywintering 169000 9.7
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 560000 844000 p = - 1800000 NE NE 1930000 2340000 i - = Depleted Secure B B Declining Fulica atra