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, Aythya nyroca. 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 estimateExpert
BE
BG completeSurvey
CY estimatePartial
CZ completeSurvey
DE completeSurvey
ES completeSurvey
FR
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LV estimateExpert
NL
PL completeSurvey
PT estimatePartial
RO completeSurvey
SI completeSurvey
SK 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
BG completeSurvey
CY estimatePartial
CZ completeSurvey
DE estimateExpert
ES completeSurvey
FR
GR estimatePartial
HR completeSurvey
HU completeSurvey
IT estimatePartial
LT estimatePartial
LV completeSurvey
NL
PL completeSurvey
PT estimatePartial
RO estimateExpert
SI completeSurvey
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 completeSurvey
BG completeSurvey
CY estimatePartial
CZ completeSurvey
DE completeSurvey
ES completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU
IT estimatePartial
LT
LV
NL completeSurvey
PL
PT
RO estimatePartial
SI completeSurvey
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
100
150
N/A
p
estimate
noChange
1.2
2007-2018 x N/A 1981-2018 - -80 | -20 | (N/A) 900 1.5 2007-2018 - -40 | -20 | (N/A) 1981-2018 = N/A | N/A | (0) 900 1.4
BE
2 7 4 i interval noChange 0.2 2007-2018 x N/A 1992-2018 x N/A I
BG
120
400
N/A
p
estimate
noChange
#
2.6
2000-2018 F N/A 1980-2018 - -40 | -10 | (N/A) 6781 11.5 2000-2018 F N/A 1980-2018 F N/A 2 40 N/A i estimate genuine 1.2 2000-2018 F N/A 1980-2018 + 0 | 100 | (N/A) I 7400 11.6
CY
4
8
N/A
p
estimate
genuine
#
2007-2018 + 33 | 300 | (N/A) 1980-2018 + 200 | 500 | (N/A) 400 0.7 2007-2018 + N/A | N/A | (33) 1980-2018 x N/A 60 160 N/A i estimate genuine # 6.1 2007-2018 + 30 | 120 | (N/A) 1980-2018 + 200 | 500 | (N/A) I 500 0.8
CZ
1
2
N/A
p
estimate
noChange
#
2001-2017 F N/A 1981-2017 x N/A # 1000 1.7 2002-2016 F N/A | N/A | (-100) 1986-2016 - N/A | N/A | (-50) # 0 3 N/A i estimate N/A # 2008-2019 u N/A | N/A | (-11) 1980-2019 u N/A | N/A | (-7) # I 1000 1.6
DE
1
7
N/A
p
mean
genuine
2004-2016 x N/A 1980-2016 - N/A | N/A | (-29) # 1065 # 1.8 2004-2016 + 11 | 40 | (N/A) 1980-2016 - -65 | -26 | (N/A) N/A N/A 50 i mean noChange # 2.8 2003-2016 + 221 | 572 | (367) 1980-2016 + 114 | 269 | (181) # I 1200 1.9
ES
9
20
N/A
p
estimate
genuine
0.1
2007-2018 + 6.55 | 100 | (N/A) 1980-2018 + 0.63 | 200 | (N/A) 3402 5.8 2013-2018 = N/A 1980-2018 = N/A 141 249 N/A i estimate knowledge # 10.9 2007-2018 - N/A 1980-2018 - N/A # I 3400 5.3
FR
38 82 52 i mean noChange # 2.9 2007-2017 u -25 | 106 | (N/A) 1980-2017 + 394 | 1318 | (740) # I
GR
130
250
N/A
p
estimate
noChange
1.9
2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-15) 8300 14.1 2007-2018 x N/A 1980-2015 x N/A 500 700 N/A i estimate knowledge 33.5 2007-2018 x N/A 1980-2018 x N/A I 8700 13.7
HR
1000
2000
N/A
p
estimate
N/A
14.9
2007-2018 - -50 | -30 | (N/A) 1980-2018 x N/A 74 0.1 2007-2018 = N/A 1980-2018 x N/A 50 200 N/A i estimate N/A 7.0 2007-2018 = N/A 1980-2013 x N/A I 3400 5.3
HU
800
1500
N/A
p
estimate
noChange
#
11.5
2007-2018 = N/A 1980-2018 + 60 | 88 | (N/A) # 8536 14.5 2007-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 8600 13.5
IT
62
89
N/A
p
estimate
noChange
0.8
2007-2018 x N/A 1993-2018 + 75 | 150 | (N/A) 7100 12.1 2007-2018 + 20 | 25 | (N/A) 1993-2018 + N/A | N/A | (675) 392 736 N/A i estimate genuine 31.5 2009-2015 + 5 | 50 | (N/A) 1991-2015 + 200 | 470 | (N/A) I 7100 11.2
LT
2
10
N/A
p
estimate
knowledge
2013-2018 = N/A 1980-2018 - -90 | -50 | (N/A) 200 0.3 2006-2018 = N/A 1980-2018 - -30 | -20 | (N/A) 200 0.3
LV
0
0
N/A
p
estimate
noChange
2012-2018 = N/A 1992-2017 - N/A | N/A | (-100) # 0.00000 2000-2012 = N/A 1992-2017 - N/A | N/A | (-100) N/A N/A
NL
10 15 13 i mean noChange 0.7 2004-2015 u -31 | 99 | (17) 1981-2015 = -40 | 75 | (2) # I
PL
82
138
105
p
estimate
genuine
1.1
2007-2018 = N/A | N/A | (14) 1980-2018 x N/A 2900 4.9 2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 2900 4.5
PT
10
25
N/A
p
estimate
method
#
0.2
2007-2018 x N/A 1980-2018 x N/A 800 # 1.4 2005-2018 + N/A | N/A | (167) 1980-2018 x N/A # 800 1.3
RO
2628
10464
N/A
p
interval
method
#
65.2
2007-2018 x N/A 1980-2018 x N/A 16300 27.7 2007-2018 x N/A 1980-2018 x N/A 24 74 N/A i mean knowledge 2.7 2013-2018 u -12.08000 | 5.06000 | (N/A) 2000-2018 - -14.3 | -5.31 | (N/A) I 16200 25.4
SI
25
40
N/A
p
estimate
genuine
0.3
2007-2018 + N/A | N/A | (228) 1980-2018 + 200 | 400 | (N/A) 300 0.5 2007-2018 + N/A | N/A | (100) 1980-2018 - N/A | N/A | (-33) # 1 12 N/A i estimate genuine 0.4 2007-2018 u N/A | N/A | (95) 1980-2018 + N/A | N/A | (150) I 300 0.5
SK
0
10
N/A
p
estimate
genuine
2007-2018 = N/A 1980-2018 - -50 | -30 | (N/A) 845 1.4 2007-2018 = N/A 1980-2018 - -70 | -40 | (N/A) 1100 1.7
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 14100 22700 p x x 42600 NE NE 1200 2600 i x x Unknown Unknown E B Unknown Aythya nyroca