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, IT, LU, SI

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, Ciconia nigra. 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 estimatePartial
BG estimatePartial
CZ completeSurvey
DE completeSurvey
EE completeSurvey
ES completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU completeSurvey
LV completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SI estimatePartial
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
AT completeSurvey
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
EE estimatePartial
ES completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU completeSurvey
LV completeSurvey
PL absentData
PT estimatePartial
RO estimatePartial
SI estimateExpert
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
BG
CZ
DE
EE
ES
FR
GR
HR
HU
IT
LT
LU
LV
PL
PT
RO
SI
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
250
350
N/A
p
estimate
noChange
3.5
2007-2018 = N/A | N/A | (0) 1981-2018 + 300 | 400 | (N/A) 28600 5.8 2007-2018 - N/A | N/A | (-27) 1981-2018 + 20 | 40 | (N/A) 27900 5.8
BE
100
150
130
p
estimate
genuine
1.5
2008-2018 + 5 | 58 | (37) 1982-2018 + 9900 | 14900 | (12400) # 7205 # 1.5 2008-2018 = N/A 1982-2018 + N/A | N/A | (6700) # 6100 1.3
BG
600
900
N/A
p
estimate
knowledge
8.8
2000-2018 x N/A 1980-2018 + 150 | 200 | (N/A) # 51968 10.6 2000-2018 + 1 | 5 | (N/A) 1980-2018 + 10 | 30 | (N/A) 53300 11.1
CZ
400
500
N/A
p
estimate
genuine
5.3
2007-2018 u N/A | N/A | (-5) 1982-2018 + N/A | N/A | (7) # 59100 12.0 2002-2016 = N/A | N/A | (3.23) 1986-2016 + N/A | N/A | (30.76) # 57700 12.0
DE
800
900
N/A
p
estimate
genuine
10.0
2004-2016 + 12 | 47 | (28) 1985-2016 + N/A | N/A | (970) 83752 17.1 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 181 | 1000 | (N/A) 84600 17.6
EE
40
60
N/A
p
estimate
genuine
0.6
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -100 | -50 | (N/A) 13100 2.7 2007-2018 - N/A | N/A | (-13) 1980-2018 - N/A | N/A | (-45) 13100 2.7
ES
346
386
N/A
p
estimate
knowledge
4.3
2007-2017 + 10 | 30 | (N/A) 1980-2017 + N/A | N/A | (100) 19800 4.0 2007-2017 = N/A 1980-2017 = N/A 20100 4.2
FR
60
80
N/A
p
estimate
genuine
#
0.8
2007-2018 + 0 | 25 | (N/A) 1985-2018 + 100 | 550 | (N/A) 10100 2.1 2007-2018 = N/A 2001-2018 + 500 | 500 | (N/A) 9900 2.1
GR
110
170
N/A
p
estimate
knowledge
1.6
2007-2018 + N/A | N/A | (250) 1980-2018 x N/A 41400 8.4 2007-2018 x N/A 1980-2018 x N/A 29500 6.1
HR
220
340
N/A
p
estimate
N/A
3.3
2007-2018 x N/A 1980-2018 x N/A 25800 5.3 2007-2018 x N/A 1980-2018 x N/A 24800 5.2
HU
350
400
N/A
p
estimate
knowledge
4.4
2007-2018 = N/A 1980-2018 + 25 | 50 | (N/A) # 23251 # 4.7 2007-2018 = N/A 1980-2018 + 5 | 10 | (N/A) # 23800 4.9
IT
20
20
N/A
p
estimate
genuine
0.2
2007-2018 + 60 | 60 | (N/A) 1994-2018 + N/A | N/A | (1900) # 2400 0.5 2007-2018 + 165 | 170 | (N/A) 1994-2018 + N/A | N/A | (1500) # 2400 0.5
LT
350
500
N/A
p
estimate
genuine
5.0
2013-2018 - -46 | -43 | (N/A) 1980-2018 - -43 | -10 | (N/A) 14700 3.0 2006-2018 = N/A 1980-2018 = N/A 14500 3.0
LU
10
15
N/A
p
estimate
genuine
#
0.1
2007-2018 + 10 | 20 | (N/A) 1980-2018 + 100 | 1500 | (N/A) # 462 # 2007-2018 + 10 | 30 | (N/A) 1980-2018 + 100 | 1500 | (N/A) # 3200 0.7
LV
85
140
N/A
p
estimate
genuine
#
1.3
2013-2018 - -23 | -19 | (N/A) 1989-2018 - -61 | -60 | (N/A) 12400 2.5 2000-2017 - N/A | N/A | (-71) 1980-2017 - N/A | N/A | (-68) 12400 2.6
PL
1200
1900
N/A
p
mean
method
18.2
2008-2018 u -43 | 1 | (-24) 1980-2018 + 25 | 75 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
100
150
N/A
p
estimate
noChange
#
1.5
2007-2018 - N/A 1980-2018 x N/A # 6700 # 1.4 2005-2018 - N/A | N/A | (-64) 1980-2018 x N/A # 6500 1.4
RO
1175
2724
N/A
p
interval
N/A
#
22.9
2007-2018 x N/A 1980-2018 x N/A 40700 8.3 2007-2018 x N/A 1980-2018 x N/A 40300 8.4
SI
40
60
N/A
p
estimate
noChange
0.6
2007-2018 = 0 | 0 | (N/A) 1980-2018 + 100 | 300 | (N/A) 9200 # 1.9 2007-2018 x N/A 1980-2018 + N/A | N/A | (908) # 8600 1.8
SK
400
600
N/A
p
estimate
noChange
5.9
2007-2018 - -20 | -10 | (N/A) 1980-2018 + 10 | 20 | (N/A) 40215 8.2 2007-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 42700 8.9
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 5800 8500 p - + 450000 NE NE Secure A B Secure Ciconia nigra