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, Leiopicus medius. 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
CZ completeSurvey
DE completeSurvey
EE estimateExpert
ES estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL completeSurvey
RO completeSurvey
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
EE estimatePartial
ES completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO estimatePartial
SI absentData
SK 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
EE
ES
FR
GR
HR
HU
IT
LT
LU
LV
NL
PL
RO
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
2600
4300
N/A
p
estimate
genuine
0.8
2007-2018 - N/A | N/A | (-13) 1981-2018 x N/A 20200 2.1 2007-2018 + N/A | N/A | (36) 1981-2018 x N/A 18300 1.8
BE
4400
6800
5600
p
estimate
genuine
1.4
2008-2018 + 1 | 56 | (29) 1973-2018 + 1660 | 2620 | (2140) 28430 # 2.9 2008-2018 + N/A | N/A | (29.15) 1973-2018 + N/A | N/A | (958.85) 28200 2.8
BG
10000
12000
N/A
p
estimate
noChange
2.6
2000-2018 = N/A 1980-2018 x N/A 52170 5.3 2000-2018 = N/A 1980-2018 x N/A 54400 5.5
CZ
3000
6000
N/A
p
estimate
noChange
1.1
2007-2018 u N/A | N/A | (-3) 1982-2018 = N/A | N/A | (2) # 38900 4.0 2002-2016 + N/A | N/A | (37) 1986-2016 + N/A | N/A | (92) # 38000 3.8
DE
34000
61000
N/A
p
estimate
genuine
11.4
2004-2016 + 3 | 85 | (38) 1980-2016 + 41 | 180 | (N/A) 250721 25.7 2004-2016 + 11 | 40 | (N/A) 1980-2016 + 41 | 180 | (N/A) 257500 25.8
EE
300
500
N/A
p
estimate
genuine
0.1
2006-2017 + 243 | 304 | (N/A) 1980-2017 + N/A | N/A | (100) 8600 0.9 2007-2018 + N/A | N/A | (38) 1980-2018 + N/A | N/A | (100) 8500 0.8
ES
1045
1205
N/A
p
estimate
noChange
0.3
2007-2018 = N/A 1980-2018 = N/A 5400 0.6 2007-2018 = N/A 1980-2018 + N/A | N/A | (100) 6200 0.6
FR
40000
80000
N/A
p
estimate
noChange
14.4
2007-2018 + N/A | N/A | (45.77) 2001-2018 + N/A | N/A | (22) 169900 17.4 2013-2018 = -7 | 20 | (N/A) 1989-2018 + 70 | 75 | (N/A) 168200 16.9
GR
10000
30000
N/A
p
estimate
noChange
4.8
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 96400 9.9 2007-2018 x N/A 1980-2018 x N/A 88400 8.9
HR
17000
23000
N/A
p
estimate
N/A
4.8
2007-2018 x N/A 1980-2018 x N/A 8296 0.8 2007-2018 x N/A 1980-2018 x N/A 34400 3.5
HU
16000
22500
N/A
p
interval
genuine
#
4.6
2007-2018 x N/A 1980-2018 x N/A # 41303 4.2 2007-2018 = N/A 1980-2018 = N/A 41800 4.2
IT
400
600
N/A
p
estimate
noChange
0.1
2007-2018 x N/A 1993-2018 + 20 | 35 | (N/A) 8500 0.9 2007-2018 + 25 | 30 | (N/A) 1993-2018 + 280 | 285 | (N/A) 8500 0.8
LT
4000
5600
N/A
p
estimate
knowledge
1.1
2013-2018 - -5 | 0 | (N/A) 1980-2018 x N/A 20500 2.1 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 20200 2.0
LU
800
1100
N/A
p
estimate
knowledge
#
0.2
2007-2018 = 0 | 10 | (N/A) 1980-2018 + 20 | 30 | (N/A) 795 # 2007-2018 = 0 | 10 | (N/A) 1980-2018 + 10 | 20 | (N/A) 2400 0.2
LV
5000
10000
N/A
p
estimate
method
1.8
2008-2018 u -52.7 | 160.18 | (15.03000) 1991-2018 + 1585 | 1703 | (N/A) 34700 3.6 2000-2017 + N/A | N/A | (47) 1980-2017 + N/A | N/A | (8575) 34600 3.5
NL
540
950
N/A
p
estimate
genuine
0.2
2006-2017 + 606 | 791 | (694) 1997-2017 + 325 | 40087 | (293139) # 11200 1.1 2000-2015 + N/A | N/A | (2140) 1977-2015 + N/A | N/A | (5500) 10400 1.0
PL
20000
36000
N/A
p
interval
genuine
6.7
2007-2018 = -36 | 46 | (-2) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
126425
219696
N/A
p
interval
method
41.6
2008-2018 u -7 | 17 | (N/A) 1980-2018 x N/A 139700 14.3 2007-2018 = N/A 1980-2018 x N/A 138600 13.9
SI
1600
2700
N/A
p
estimate
genuine
0.5
2010-2018 - -35 | -30 | (N/A) 1980-2018 x N/A # 6600 # 0.7 2007-2018 x N/A 1980-2018 + N/A | N/A | (365) # 5400 0.5
SK
4000
7000
N/A
p
estimate
knowledge
1.3
2007-2018 = N/A 1980-2018 = N/A 32744 3.4 2007-2018 = N/A 1980-2018 = N/A 34000 3.4
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 254000 562000 p = x 1040000 NE NE Secure A B Secure Leiopicus medius