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 IT

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, Glaucidium passerinum. 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
EE estimatePartial
FI estimatePartial
FR estimateExpert
GR estimatePartial
HR estimateExpert
HU estimatePartial
IT estimateExpert
LT estimatePartial
LV completeSurvey
PL estimateExpert
RO completeSurvey
SE estimatePartial
SI estimatePartial
SK estimateExpert
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
FI completeSurvey
FR estimateExpert
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT completeSurvey
LV estimatePartial
PL absentData
RO completeSurvey
SE estimatePartial
SI absentData
SK estimateExpert
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
FI
FR
GR
HR
HU
IT
LT
LV
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
4000
8000
N/A
p
estimate
noChange
10.4
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 27200 3.4 2007-2018 - N/A | N/A | (-25) 1981-2018 = N/A | N/A | (0) 26500 3.3
BE
1
6
4
p
estimate
genuine
#
2013-2018 + N/A | N/A | (400) 1973-2018 + N/A | N/A | (400) # 615 # 2013-2018 + N/A | N/A | (600) 1973-2018 + N/A | N/A | (600) # 500
BG
120
220
N/A
p
estimate
noChange
#
0.3
2000-2018 = 5 | 10 | (N/A) 1980-2018 + 20 | 30 | (N/A) # 4862 0.6 2000-2018 = 5 | 10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 4900 0.6
CZ
1200
2000
N/A
p
estimate
noChange
#
2.8
2007-2018 = N/A 1980-2018 + N/A | N/A | (20) # 39600 4.9 2002-2016 + N/A | N/A | (38.21) 1986-2016 + N/A | N/A | (167.71) # 38000 4.7
DE
3400
6000
N/A
p
estimate
genuine
8.1
2004-2016 = N/A | N/A | (5) 1985-2016 + N/A | N/A | (46) 95228 11.8 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 41 | 180 | (N/A) 97700 12.1
EE
1000
1500
N/A
p
estimate
genuine
2.2
2007-2018 + 39 | 112 | (N/A) 1987-2018 + 103 | 298 | (N/A) 15600 1.9 2007-2018 = -16 | -4 | (N/A) 1980-2018 + 38 | 51 | (N/A) 15500 1.9
FI
2686
4214
3512
p
interval
genuine
6.1
2007-2018 - 39 | 55 | (48) 1982-2018 + 21 | 80 | (48) 102300 12.7 N/A N/A N/A 1980-2010 + 129 | 129 | (N/A) 102300 12.7
FR
450
900
N/A
p
estimate
knowledge
1.2
2007-2018 + 15 | 30 | (20) 1980-2018 + 15 | 20 | (N/A) # 30900 3.8 2007-2018 + 5 | 15 | (N/A) 1985-2018 + 50 | 150 | (N/A) # 30800 3.8
GR
5
10
N/A
p
mean
N/A
2007-2018 x N/A 1980-2018 x N/A 1900 # 0.2 2007-2018 x N/A 1980-2018 x N/A 1900 0.2
HR
150
250
N/A
p
estimate
N/A
0.3
2007-2018 x N/A 1980-2018 x N/A 3902 0.5 2007-2018 x N/A 1980-2018 x N/A 5200 0.7
HU
3
10
N/A
p
estimate
genuine
2007-2018 F N/A 2001-2018 + 200 | 900 | (N/A) # 398 2007-2018 + N/A | N/A | (262) 2001-2018 + N/A | N/A | (298) # 600
IT
700
1400
N/A
p
estimate
noChange
1.8
2007-2018 x N/A 1993-2018 + 130 | 135 | (N/A) 29100 3.6 2007-2018 + 60 | 65 | (N/A) 1993-2018 + 95 | 100 | (N/A) 28900 3.6
LT
1200
1500
N/A
p
estimate
genuine
2.3
2013-2018 + 20 | 30 | (N/A) 1980-2018 + 900 | 2300 | (N/A) 9800 1.2 2006-2018 + 10 | 20 | (N/A) 1980-2018 + 7400 | 11900 | (N/A) 9800 1.2
LV
3671
9464
5883
p
interval
knowledge
10.2
2007-2018 u -51 | 19 | (-23) 2003-2018 - -58 | -8 | (-38) # 26800 3.3 2007-2018 x N/A 1980-2018 x N/A # 26600 3.3
PL
1400
1800
N/A
p
estimate
genuine
2.8
2010-2018 u -30 | 102 | (21) 1980-2018 + 1400 | 1600 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
N/A
N/A
8802
p
Minimum
N/A
#
15.2
2007-2018 x N/A 1980-2018 x N/A 32000 4.0 2007-2018 x N/A 1980-2018 x N/A 32000 4.0
SE
9600
30000
19000
p
estimate
noChange
32.9
2007-2018 = -30 | 30 | (0) 1980-2018 + 10 | 30 | (20) 363500 45.2 2007-2018 = N/A 1980-2018 = N/A 363400 45.1
SI
200
380
N/A
p
estimate
noChange
0.5
2002-2017 x N/A 1980-2017 x N/A 2600 # 0.3 2007-2018 x N/A 1980-2018 + N/A | N/A | (264) # 2400 0.3
SK
1300
2000
N/A
p
estimate
knowledge
2.9
2007-2018 = N/A 1980-2018 = N/A 17567 2.2 2007-2018 = N/A 1980-2018 = N/A 18800 2.3
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 31000 69700 p = + 771000 NE NE Secure A B Secure Glaucidium passerinum