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.

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, Carduelis carduelis. 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
CY estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
ESIC estimateExpert
FI completeSurvey
FR estimatePartial
GIB
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
PTAC estimatePartial
PTMA estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK completeSurvey
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
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 estimatePartial
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
70000
120000
N/A
p
estimate
genuine
0.3
2007-2018 + N/A | N/A | (39) 1981-2018 x N/A 88000 2.5 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 81500 2.3
BE
9900
14400
12100
p
estimate
genuine
2008-2018 + 114 | 251 | (174) 1973-2018 + 92 | 108 | (135) # 30579 # 0.9 2008-2018 + N/A | N/A | (18.52) 1973-2018 + N/A | N/A | (17.48) 31200 0.9
BG
250000
600000
N/A
p
estimate
genuine
#
1.5
2000-2018 - -50 | -10 | (N/A) 1980-2018 - -10 | -5 | (N/A) 108443 3.1 2000-2018 = 5 | 10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 112100 3.2
CY
89000
140000
N/A
p
estimate
genuine
0.4
2007-2018 u -7 | 27 | (N/A) 1980-2018 x N/A 7700 0.2 2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 7700 0.2
CZ
200000
400000
N/A
p
estimate
noChange
#
1.1
2007-2018 + N/A | N/A | (2) 1982-2018 = N/A # 81700 2.3 2002-2016 = N/A | N/A | (0.16) 1986-2016 = N/A | N/A | (0.97) # 78100 2.2
DE
240000
355000
N/A
p
estimate
genuine
1.1
2004-2016 - -29 | -5 | (-17) 1980-2016 = N/A | N/A | (-17) 355408 10.1 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 370200 10.6
DK
N/A
N/A
44606
p
estimate
genuine
#
0.2
2006-2017 = -7 | 46.57 | (17) 1980-2017 + 362.56 | 1143.69 | (660.92) # 54000 1.5 1996-2017 = N/A | N/A | (7.78) 1974-2017 + N/A | N/A | (22.44) # 54000 1.5
EE
30000
40000
N/A
p
estimate
genuine
0.1
2005-2016 + 66 | 95 | (N/A) 1980-2018 = 26 | 68 | (N/A) 49700 1.4 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (0) 21400 0.6
ES
15515000
19010000
N/A
p
interval
noChange
61.2
2007-2018 = N/A 1980-2018 = N/A 353042 10.1 1998-2018 = N/A 1980-2018 = N/A 369100 10.5
ESIC
2500
10000
N/A
p
minimum
noInfo
#
2007-2018 x N/A 1980-2018 x N/A # 3800 0.1 2007-2018 x N/A 1980-2018 x N/A # 3600 0.1
FI
15972
40267
27247
p
estimate
genuine
0.1
2007-2018 + 79 | 327 | (179) 1985-2018 + 534 | 2315 | (1147) # 41100 1.2 2007-2018 x N/A 1980-2010 + 176 | 176 | (N/A) 41100 1.2
FR
1000000
2000000
N/A
p
estimate
knowledge
5.3
2007-2018 = N/A | N/A | (-5.4) 2001-2018 - N/A | N/A | (-35) 524100 14.9 2009-2017 = N/A 1985-2017 = N/A 519500 14.8
GIB
11 50 50 i mean noChange N/A 2001-2018 = 0 | 0 | (0) 1980-2018 = 0 | 0 | (0) other
GR
830000
1080000
N/A
p
estimate
knowledge
3.4
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 200500 5.7 2007-2018 x N/A 1980-2018 x N/A 195800 5.6
HR
100000
500000
N/A
p
estimate
N/A
1.1
2007-2018 x N/A 1980-2018 x N/A 56548 1.6 2007-2018 x N/A 1980-2018 x N/A 78000 2.2
HU
406000
422000
N/A
p
estimate
knowledge
1.5
2007-2018 = N/A 1980-2018 = N/A 93011 2.6 2007-2018 = N/A 1980-2018 = N/A # 94500 2.7
IE
808467
1449700
1107425
i
interval
genuine
#
N/A
2006-2016 + 74.9 | 104.1 | (89) 1980-2016 x N/A 81100 2.3 2006-2016 + N/A | N/A | (27) 1972-2016 + N/A | N/A | (31.9) # 80100 2.3
IT
1000000
1800000
N/A
p
estimate
noChange
5.0
2012-2017 - -20 | -10 | (N/A) 1993-2018 - -10 | 0 | (N/A) 323000 9.2 2007-2018 = N/A 1993-2018 = N/A 321700 9.2
LT
40000
80000
N/A
p
estimate
genuine
0.2
2013-2018 + 0 | 5 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 2.1 2006-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 70900 2.0
LU
3000
6000
N/A
p
estimate
noChange
#
2009-2018 + N/A | N/A | (900) 1980-2018 x N/A 914 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500
LV
86444
150474
114051
p
interval
method
0.4
2005-2018 + 15.8 | 218.7 | (94) 1995-2018 u -69.57 | 82.15 | (N/A) 66400 1.9 2000-2017 = N/A | N/A | (-2) 1980-2017 + N/A | N/A | (49) 64700 1.8
NL
35000
43000
N/A
p
estimate
knowledge
0.1
2006-2017 + 101 | 133 | (117) 1984-2017 + 839 | 1825 | (1247) 44200 1.3 2000-2015 + N/A | N/A | (16.93) 1977-2015 + N/A | N/A | (54.54) 40800 1.2
PL
665000
916000
N/A
p
interval
genuine
2.8
2007-2018 - -28 | -10 | (-19) 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
2000000
N/A
p
estimate
method
#
4.4
2004-2018 - N/A 1980-2018 x N/A # 84700 # 2.4 2005-2018 = N/A | N/A | (-6) 1980-2018 = N/A # 83200 2.4
PTAC
75369
210277
163286
p
mean
N/A
#
N/A
2007-2018 x N/A 1980-2018 x N/A # 6600 # N/A 2008-2018 = N/A 1980-2018 x N/A # N/A N/A Carduelis carduelis (non-native populations)
PTMA
1000
5000
N/A
p
estimate
noChange
#
2008-2018 = N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) 1900 2001-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) 1900
RO
653125
1109338
N/A
p
interval
method
3.1
2008-2018 - -10 | -2 | (N/A) 1980-2018 x N/A 229400 6.5 2007-2018 = N/A 1980-2018 = N/A 224500 6.4
SE
35000
55000
44000
p
estimate
genuine
0.2
2007-2018 + 122 | 253 | (181) 1980-2018 + 1180 | 6420 | (2770) 238000 6.8 2007-2018 + 15 | 25 | (20) 1980-2018 + 20 | 30 | (25) 237900 6.8
SI
31300
125400
N/A
p
estimate
genuine
0.3
2008-2018 + N/A | N/A | (20.7) 1980-2018 x N/A 13200 # 0.4 2007-2018 x N/A 1980-2018 = N/A | N/A | (8) # 12100 0.3
SK
100000
150000
N/A
p
estimate
noChange
0.4
2007-2018 = N/A 1980-2018 = N/A 49020 1.4 2007-2018 = N/A 1980-2018 = N/A 52200 1.5
UK
1459425
1794011
1626718
p
interval
genuine
5.8
2004-2016 + N/A | N/A | (78.25) 1980-2016 + N/A | N/A | (129.65) # 258500 7.4 1989-2009 + 11.33 | 11.33 | (N/A) 1970-2009 + 15.61 | 15.61 | (N/A) 256900 7.3
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 23300000 33600000 p = = 3280000 NE NE Secure A B Secure Carduelis carduelis