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 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, Porzana porzana. 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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
FI estimatePartial
FR estimateExpert
GR estimatePartial
HR estimateExpert
HU estimateExpert
IT estimateExpert
LT estimatePartial
LV estimatePartial
NL completeSurvey
PL estimateExpert
RO estimateExpert
SE estimatePartial
SI completeSurvey
SK estimateExpert
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 estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO absentData
SE estimatePartial
SI completeSurvey
SK estimateExpert
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
CZ
DE
DK
EE
FI
FR
GR
HR estimateExpert
HU
IT
LT
LV
NL
PL
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
5
80
N/A
cmales
estimate
method
0.3
2007-2018 F N/A | N/A | (0) 1981-2018 - -80 | -50 | (N/A) 3000 0.9 2007-2018 = N/A | N/A | (10) 1981-2018 = N/A | N/A | (0) 3000 0.9
BE
20
77
48
cmales
estimate
method
0.3
2008-2018 u -33 | 157 | (60) 1973-2018 + 233 | 1183 | (700) 5888 # 1.8 2008-2018 + N/A | N/A | (258.59) 1973-2018 + N/A | N/A | (741.14) 4900 1.4
BG
150
300
N/A
cmales
estimate
noChange
1.6
2001-2018 x N/A 1980-2018 x N/A 3661 1.1 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 4000 1.2
CZ
40
80
N/A
cmales
estimate
noChange
0.4
2007-2018 x N/A 1980-2018 x N/A # 5600 1.7 2002-2016 - N/A | N/A | (-20.28) 1986-2016 = N/A | N/A | (-5.17) # 5600 1.6
DE
900
1400
N/A
cmales
estimate
genuine
8.3
2004-2016 = N/A | N/A | (-8) 1980-2016 = N/A | N/A | (8) 36886 11.0 2004-2016 - -30 | -11 | (N/A) 1980-2016 - -65 | -26 | (N/A) 39900 11.8
DK
N/A
N/A
66
cmales
estimate
noChange
0.5
2004-2017 F N/A 1980-2017 F N/A 7300 2.2 1996-2017 + N/A | N/A | (231) 1974-2017 + N/A | N/A | (49) # 6600 1.9
EE
1000
5000
N/A
cmales
estimate
genuine
21.7
2006-2017 - -50 | -45 | (N/A) 1980-2017 - -61 | 51 | (N/A) 12100 3.6 2007-2018 = N/A | N/A | (4) 1980-2018 - N/A | N/A | (-38) 12100 3.6
FI
700
1500
1100
cmales
estimate
knowledge
8.0
2007-2018 = N/A | N/A | (6) 1980-2018 = N/A | N/A | (-4) 39900 11.9 N/A N/A N/A 1980-2010 - 8 | 8 | (N/A) 39900 11.8
FR
100
200
N/A
cmales
estimate
method
1.1
2007-2017 x N/A 1980-2018 x N/A # 7200 2.1 2013-2018 x N/A 1989-2018 - -50 | -30 | (N/A) # 7200 2.1
GR
0
10
N/A
cmales
estimate
noChange
2007-2018 = N/A 1980-2018 x N/A 1800 0.5 2007-2018 x N/A 1980-2018 x N/A 1800 0.5
HR
30
70
N/A
cmales
estimate
N/A
0.4
2007-2018 x N/A 1980-2018 x N/A 132 2007-2018 x N/A 1980-2018 x N/A 100 500 N/A i estimate N/A 100.0 2007-2018 x N/A 1980-2018 x N/A I 1400 0.4
HU
650
1300
N/A
cmales
estimate
knowledge
#
7.0
2007-2018 F N/A 1980-2018 F N/A # 7782 2.3 2007-2018 F N/A 1980-2018 F N/A # 8000 2.4
IT
10
30
N/A
cmales
estimate
genuine
0.1
2007-2018 = N/A 1993-2018 - -85 | -80 | (N/A) 1400 0.4 2007-2018 - -15 | -10 | (N/A) 1993-2018 - -15 | -10 | (N/A) 1400 0.4
LT
900
1300
N/A
cmales
estimate
knowledge
8.0
2013-2018 F N/A 1980-2018 x N/A 8900 2.7 2006-2018 - -30 | -20 | (N/A) 1980-2018 x N/A 8900 2.6
LV
610
1000
N/A
cmales
estimate
method
5.8
2006-2018 u -62.7 | 130.2 | (-4.1) 1991-2017 + 66 | 79 | (N/A) 9200 2.8 2000-2017 - N/A | N/A | (-23) 1980-2017 = N/A | N/A | (-6) 9000 2.7
NL
110
400
N/A
cmales
estimate
genuine
1.8
2006-2017 = -28 | 22 | (-6) 1980-2017 - -47 | -39 | (-43) 9600 2.9 2000-2015 - N/A | N/A | (-27.81) 1977-2015 + N/A | N/A | (23.07000) 9500 2.8
PL
3000
5000
N/A
cmales
estimate
noChange
28.9
2007-2018 x N/A 1980-2018 F N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
80
830
N/A
cmales
estimate
method
3.3
2007-2018 x N/A 1980-2018 x N/A 3000 0.9 2007-2018 x N/A 1980-2018 x N/A 3000 0.9
SE
75
175
125
cmales
estimate
genuine
0.9
2007-2018 - -70 | -30 | (-50) 1980-2018 - -30 | -10 | (-20) 163300 48.8 2007-2018 x N/A 1980-2018 x N/A 163300 48.2
SI
20
60
N/A
cmales
estimate
noChange
0.3
2007-2018 u N/A | N/A | (192) 1980-2018 x N/A 600 0.2 2007-2018 x N/A 1980-2018 + N/A | N/A | (75) # 600 0.2
SK
60
200
N/A
cmales
estimate
noChange
0.9
2007-2018 = N/A 1980-2018 = N/A 3532 1.1 2007-2018 = N/A 1980-2018 = N/A 4400 1.3
UK
N/A
N/A
31
cmales
mean
genuine
#
0.2
2001-2016 + N/A | N/A | (50) 1978-2016 + N/A | N/A | (431) # 4200 1.2 1989-2009 + 61.54 | 61.54 | (N/A) 1970-2009 + 7.69 | 7.69 | (N/A) 4200 1.2
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 8900 21500 cmales x x 331000 NE NE 100 500 i NE NE Unknown Not evaluated E B Secure Porzana porzana