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, LT

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, Chlidonias niger. 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
BG completeSurvey
CZ completeSurvey
DE completeSurvey
DK completeSurvey
EE estimateExpert
ES estimatePartial
FI estimatePartial
FR completeSurvey
GR estimatePartial
HU completeSurvey
IT estimateExpert
LT estimatePartial
LV estimatePartial
NL completeSurvey
PL estimateExpert
RO estimateExpert
SE completeSurvey
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
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HU completeSurvey
IT estimatePartial
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
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
BG
CZ
DE
DK
EE
ES
FI
FR
GR
HU
IT
LT
LV
NL
PL
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
BG
0
35
N/A
p
estimate
genuine
0.1
2000-2018 F N/A 1980-2018 - -30 | -10 | (N/A) 803 1.2 2000-2018 - -20 | -5 | (N/A) 1980-2018 - -30 | -20 | (N/A) # 1000 1.4
CZ
0
0
N/A
p
estimate
noChange
#
2001-2017 x N/A 1981-2017 x N/A # 3600 5.2 2002-2016 - N/A | N/A | (-27.08000) 1986-2016 - N/A | N/A | (-46.96) # 3600 5.1
DE
N/A
N/A
1200
p
estimate
genuine
8.2
2004-2016 + 6 | 51 | (27) 1980-2016 + N/A | N/A | (31) # 7862 11.4 2004-2016 = -10 | 10 | (N/A) 1980-2016 - -65 | -26 | (N/A) 8500 12.1
DK
44
50
N/A
p
estimate
noChange
0.3
2004-2017 F N/A 1980-2017 - -74 | -80 | (N/A) 400 0.6 1996-2017 - N/A | N/A | (-60) 1974-2017 - N/A | N/A | (-87) # 400 0.6
EE
700
1000
N/A
p
estimate
genuine
5.8
2006-2017 - -44 | -14 | (N/A) 1980-2017 - -70 | -45 | (N/A) 5500 8.0 2007-2018 = N/A | N/A | (-9) 1980-2018 - N/A | N/A | (-19) 5500 7.8
ES
0
40
N/A
p
estimate
noChange
#
0.1
2007-2018 F N/A 1980-2018 - N/A | N/A | (-11.5) # 16431 # 23.9 2007-2018 F N/A 1980-2018 - N/A | N/A | (-11.5) 17200 24.4
FI
10
25
15
p
estimate
genuine
0.1
2007-2018 - N/A | N/A | (16) 1980-2018 - N/A 1300 1.9 N/A N/A N/A 1980-2010 - 29 | 29 | (N/A) 1300 1.8
FR
89
227
154
p
mean
noChange
1.1
2007-2017 - -63 | -15 | (-44) 1982-2017 F N/A 2300 3.3 2009-2018 = N/A | N/A | (0) 1985-2018 - N/A | N/A | (-40) 2300 3.3
GR
10
30
N/A
p
estimate
knowledge
0.1
2007-2018 - N/A | N/A | (-40) 1980-2018 - N/A | N/A | (-52) 2400 3.5 2007-2018 x N/A 1980-2018 x N/A 2400 3.4
HU
25
38
N/A
p
estimate
genuine
0.2
2007-2018 - -97 | -75 | (N/A) 1980-2018 - N/A | N/A | (-97) # 1642 2.4 2007-2018 - N/A | N/A | (-69) 1980-2018 - N/A | N/A | (-47) # 1700 2.4
IT
120
120
N/A
p
estimate
noChange
0.8
2007-2018 x N/A 1993-2018 - -25 | 0 | (N/A) 1000 1.4 2007-2018 = N/A 1993-2018 - -25 | -20 | (N/A) 1000 1.4
LT
3000
6000
N/A
p
estimate
noChange
30.8
2013-2018 + 0 | 5 | (N/A) 1980-2018 = 0 | 0 | (N/A) 8400 12.2 2006-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 8400 11.9
LV
2800
3900
N/A
p
estimate
genuine
22.9
2000-2018 + 15.3 | 16.8 | (15.84) 1980-2017 + 315 | N/A | (319) 8200 11.9 2000-2017 - N/A | N/A | (-21) 1980-2017 = N/A | N/A | (-5) 8100 11.5
NL
1350
1570
N/A
p
estimate
genuine
10.0
2006-2017 = -2 | 44 | (19) 1980-2017 - -17 | -12 | (-14) # 3500 5.1 2000-2015 - N/A | N/A | (-33.96) 1977-2015 - N/A | N/A | (-75) 3500 5.0
PL
2000
3000
N/A
p
estimate
noChange
17.1
2007-2018 u -63 | 33 | (-28) 1980-2018 - -70 | -60 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
10
200
N/A
p
estimate
knowledge
0.7
2007-2018 x N/A 1980-2018 x N/A 1200 1.7 2007-2018 F N/A 1980-2018 F N/A 1200 1.7
SE
144
285
215
p
estimate
genuine
#
1.5
2007-2018 = -30 | 30 | (0) 1980-2018 + 15 | 35 | (25) 4300 6.2 2007-2018 = N/A 1980-2018 = N/A 4300 6.1
SK
0
10
N/A
p
estimate
noChange
2007-2018 - -100 | -75 | (N/A) 1980-2018 - -100 | -75 | (N/A) 49 2007-2018 - -100 | -50 | (N/A) 1980-2018 - -100 | -50 | (N/A) 100 0.1
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 11400 17600 p = - 67600 NE NE Depleted B B Declining Chlidonias niger