Article 12 web tool

Log in

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.

Map is only available at subspecific level.

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, Chloris chloris. 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 estimateExpert
BG estimatePartial
CY estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
ESIC estimateExpert
FI completeSurvey
FR estimatePartial
GIB estimateExpert
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
PTAC estimateExpert
PTMA estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimatePartial
UK 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
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
ESIC absentData
FI completeSurvey
FR completeSurvey
GIB estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTAC estimatePartial
PTMA completeSurvey
RO completeSurvey
SE estimatePartial
SI absentData
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
BE
BG
CY
CZ
DE
DK
EE
ES
ESIC
FI
FR
GIB
GR
HR
HU
IE
IT
LT
LU
LV
NL
PL
PT
PTAC
PTMA
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
100000
150000
N/A
p
estimate
genuine
0.6
2007-2018 - N/A | N/A | (-47) 1981-2018 x N/A 86900 2.2 2007-2018 = N/A | N/A | (4) 1981-2018 x N/A 80100 2.1
BE
55200
114700
84900
p
estimate
genuine
0.4
2008-2018 - -27 | 6 | (-12) 1973-2018 + 0 | 109 | (54) # 30557 # 0.8 2008-2018 = N/A 1973-2018 = N/A 31500 0.8
BG
200000
400000
N/A
p
estimate
noChange
1.6
2000-2018 F N/A 1980-2018 = 5 | 10 | (N/A) 105012 2.7 2000-2018 = 5 | 10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 108300 2.8
CY
60000
130000
N/A
p
estimate
genuine
0.5
2007-2018 + 8 | 50 | (N/A) 1980-2018 + 10 | 50 | (N/A) 7700 0.2 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 10 | 25 | (N/A) 7700 0.2
CZ
400000
800000
N/A
p
estimate
noChange
#
3.1
2007-2018 - N/A | N/A | (-6) 1982-2018 - N/A | N/A | (-1) # 82600 2.1 2002-2016 = N/A | N/A | (-1) 1986-2016 = N/A | N/A | (0) # 78900 2.0
DE
1450000
2050000
N/A
p
estimate
genuine
9.0
2004-2016 - -22 | -13 | (-18) 1980-2016 = N/A | N/A | (-18) 356449 9.2 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 371500 9.6
DK
N/A
N/A
332353
p
estimate
genuine
#
1.7
2006-2017 - -54.38 | -18.45 | (-38.79) 1980-2017 = -3.63 | 45.62 | (18.53) # 58100 1.5 1996-2017 = N/A | N/A | (1.57) 1974-2017 = N/A | N/A | (-5.06000) # 57900 1.5
EE
50000
100000
N/A
p
estimate
genuine
0.4
2007-2018 + 13 | 60 | (N/A) 1983-2018 + 168 | 341 | (N/A) 53900 1.4 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 5 | 7 | (N/A) 24400 0.6
ES
7633293
8907528
8270410
p
interval
method
#
42.6
2007-2018 + N/A | N/A | (10.4) 1980-2018 + N/A 297034 7.7 2007-2018 + N/A | N/A | (10) 1980-2018 + N/A | N/A | (22) 312600 8.1
ESIC
2500
10000
N/A
p
minimum
noInfo
#
2007-2018 x N/A 1980-2018 x N/A # 3000 2007-2018 x N/A 1980-2018 x N/A # 3400
FI
113690
233465
186652
p
estimate
genuine
1.0
2007-2018 - 65 | 74 | (70) 1980-2018 + 279 | 766 | (474) 257000 6.7 2007-2018 x N/A 1980-2010 + 88 | 88 | (N/A) 256700 6.7
FR
1000000
2000000
N/A
p
estimate
noChange
7.7
2007-2018 - N/A | N/A | (-35.4) 2001-2018 - N/A | N/A | (-51) # 504100 13.1 2009-2017 - N/A | N/A | (-8) 1985-2017 = N/A 500600 13.0
GIB
30
50
50
p
estimate
genuine
2001-2012 + 20 | 30 | (30) 1980-2018 + 10 | 50 | (50) 4 2007-2018 + 20 | 50 | (50) 1980-2018 + 10 | 50 | (50) 300
GR
370000
470000
N/A
p
estimate
knowledge
2.2
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 185100 4.8 2007-2018 x N/A 1980-2018 x N/A 179500 4.7
HR
100000
500000
N/A
p
estimate
N/A
1.6
2007-2018 x N/A 1980-2018 x N/A 56548 1.5 2007-2018 x N/A 1980-2018 x N/A 78200 2.0
HU
374000
388000
N/A
p
interval
genuine
#
2.0
2007-2018 = N/A 1980-2018 = N/A 93011 2.4 2007-2018 = N/A 1980-2018 = N/A # 94400 2.5
IE
402596
680185
536730
i
interval
genuine
#
N/A
2006-2016 - -39.3 | -30 | (-34.8) 1980-2016 x N/A 79000 2.0 2006-2016 - N/A | N/A | (-10) 1972-2016 = N/A | N/A | (-9.4) # 78100 2.0
IT
400000
800000
N/A
p
estimate
noChange
3.1
2012-2017 - -20 | -15 | (N/A) 1993-2018 + 30 | 100 | (N/A) 313400 8.1 2007-2018 = N/A 1993-2018 + 5 | 10 | (N/A) 312000 8.1
LT
120000
250000
N/A
p
estimate
noChange
0.9
2013-2018 = N/A 1980-2018 = N/A 73500 1.9 2006-2018 = N/A 1980-2018 = N/A 71400 1.9
LU
15000
20000
N/A
p
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A 1269 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400
LV
112680
201298
150606
p
interval
genuine
0.8
2005-2018 + 50.4 | 215 | (118.9) 1995-2018 + 51 | 549.09000 | (N/A) 64600 1.7 2013-2017 = N/A | N/A | (-1) 1980-2017 + N/A | N/A | (33) 63100 1.6
NL
65000
100000
N/A
p
estimate
knowledge
0.4
2006-2017 + 49 | 75 | (61) 1984-2017 + 57 | 173 | (107) 44300 1.1 2000-2015 = N/A | N/A | (-0.22) 1977-2015 = N/A | N/A | (1.83) 40200 1.0
PL
1100000
1252000
N/A
p
interval
genuine
6.1
2007-2018 = -9 | 12 | (1) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
500000
1000000
N/A
p
estimate
noChange
#
3.9
2004-2018 - N/A 1980-2018 x N/A # 85300 # 2.2 2005-2018 = N/A | N/A | (-9) 1980-2018 = N/A # 84400 2.2
PTAC
N/A
N/A
25
p
minimum
N/A
N/A
2007-2018 x N/A 1980-2018 x N/A 2300 # N/A 2008-2018 - N/A | N/A | (16) 1980-2018 x N/A # N/A N/A Chloris chloris (non-native populations)
PTMA
1000
5000
N/A
p
estimate
noChange
#
2008-2018 - 40 | 68 | (1) 1980-2018 + N/A | N/A | (1) 1400 2001-2018 + N/A | 167 | (1) 1980-2018 x N/A | N/A | (1) 1400
RO
649715
1000410
N/A
p
interval
method
4.2
2008-2018 u -4 | 6 | (N/A) 1980-2018 x N/A 219300 5.7 2007-2018 = N/A 1980-2018 = N/A 215000 5.6
SE
185000
231000
211000
p
estimate
genuine
1.1
2007-2018 - -72 | -65 | (-68) 1980-2018 - -38 | -24 | (-31) 472300 12.2 2007-2018 = N/A 1980-2018 + 0 | 10 | (5) 470100 12.2
SI
66400
93400
N/A
p
estimate
genuine
0.4
2008-2013 - N/A | N/A | (-40.8) 1980-2018 x N/A 10700 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (12) # 9700 0.2
SK
100000
130000
N/A
p
estimate
noChange
0.6
2007-2018 = N/A 1980-2018 = N/A 49020 1.3 2007-2018 = N/A 1980-2018 = N/A 52300 1.4
UK
734200
837286
785743
p
interval
genuine
4.0
2004-2016 - N/A | N/A | (-64.87) 1980-2016 - N/A | N/A | (-49.68) # 269100 7.0 1989-2009 + 9.84 | 9.84 | (N/A) 1970-2009 + 6.36 | 6.36 | (N/A) 267100 6.9
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 15900000 22200000 p - = 3640000 NE NE Secure A B Secure Chloris chloris