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.

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, Carpodacus erythrinus. 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 completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
FI completeSurvey
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
RO estimateExpert
SE estimatePartial
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
DK completeSurvey
EE estimatePartial
FI completeSurvey
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO estimatePartial
SE estimatePartial
SI completeSurvey
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
DK
EE
FI
LT
LV
NL
PL
RO
SE
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
200
300
N/A
p
estimate
genuine
2007-2018 + 15 | 30 | (N/A) 1981-2018 + 200 | 500 | (N/A) 12900 2.1 2007-2018 + N/A | N/A | (135) 1981-2018 + 300 | 400 | (N/A) 12900 2.2
BE
0
1
0
p
estimate
noChange
2008-2018 = N/A 1973-2018 = N/A # 91 # 2008-2018 = N/A 1973-2018 = N/A 2300 0.4
BG
40
70
N/A
p
estimate
noChange
2000-2018 + 50 | 100 | (N/A) 1980-2018 + 20 | 50 | (N/A) # 2449 0.4 2000-2018 + 50 | 100 | (N/A) 1980-2018 + 30 | 50 | (N/A) 2700 0.5
CZ
1200
1900
N/A
p
estimate
noChange
#
0.3
2007-2018 x N/A 1980-2018 x N/A # 11200 1.8 2002-2016 - N/A | N/A | (-19.35) 1986-2016 = N/A | N/A | (-1.96) # 11100 1.9
DE
600
1000
N/A
p
estimate
noChange
0.2
2004-2016 = N/A | N/A | (3) 1985-2016 + N/A | N/A | (51) 16256 2.6 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 41 | 180 | (N/A) 21800 3.6
DK
N/A
N/A
40
p
estimate
noChange
#
2006-2017 - N/A 1981-2017 = -84.48 | 1966.88 | (94.16) # 5200 0.8 1996-2017 - N/A | N/A | (-40.22) 1974-2017 + N/A | N/A | (766.66) # 3100 0.5
EE
80000
120000
N/A
p
estimate
genuine
21.1
2007-2018 - -54 | -47 | (N/A) 1983-2018 - -40 | -32 | (N/A) 53800 8.7 2007-2018 = -2 | -1 | (N/A) 1980-2018 = 3 | 5 | (N/A) 27400 4.6
FI
103713
139853
122620
p
estimate
genuine
25.8
2007-2018 - 11 | 34 | (23) 1980-2018 - 47 | 65 | (56) 192800 31.1 2007-2018 x N/A 1980-2010 + 3 | 3 | (N/A) 192700 32.2
LT
30000
70000
N/A
p
estimate
noChange
10.5
2013-2018 - -15 | -10 | (N/A) 1980-2018 = 0 | 0 | (N/A) 26700 4.3 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 25900 4.3
LV
110844
176193
139750
p
interval
method
29.4
2005-2018 = -43.3 | 8.5 | (-21.2) 1995-2018 - -70.78 | -23.74 | (N/A) 60200 9.7 2000-2017 - N/A | N/A | (-12) 1980-2017 x N/A 59400 9.9
NL
15
30
N/A
p
estimate
genuine
2006-2017 u -100 | 100 | (N/A) 1987-2017 + 650 | 3250 | (N/A) # 1700 0.3 2000-2015 + N/A | N/A | (21.42) 1987-2015 + N/A | N/A | (750) # 1700 0.3
PL
32000
59000
N/A
p
interval
knowledge
9.6
2007-2018 = -39 | 1 | (-21) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
100
300
N/A
p
estimate
noChange
2007-2018 + 1 | 20 | (N/A) 1980-2018 + 2000 | 3000 | (N/A) 800 0.1 2007-2018 + 1 | 10 | (N/A) 1980-2018 + 500 | 700 | (N/A) 800 0.1
SE
9000
17000
13000
p
estimate
genuine
2.7
2007-2018 - -50 | 0 | (-25) 1980-2018 - -73 | -48 | (-63) 225700 36.4 2007-2018 = N/A 1980-2018 = N/A 225300 37.7
SI
10
30
N/A
p
mean
noChange
2007-2018 x N/A 1980-2018 - -20 | -10 | (N/A) 800 0.1 2007-2018 x N/A 1980-2018 + N/A | N/A | (25) # 800 0.1
SK
500
1000
N/A
p
estimate
noChange
0.2
2007-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 8887 1.4 2007-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 9600 1.6
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 368000 587000 p - - 618000 NE NE Near Threatened C B Threatened Carpodacus erythrinus