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, Dryocopus martius. 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 estimateExpert
DK estimateExpert
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL estimatePartial
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
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO completeSurvey
SE 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
DK
EE
ES
FI
FR
GR
HR
HU
IT
LT
LU
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
12000
18000
N/A
p
estimate
noChange
5.3
2007-2018 = N/A | N/A | (2) 1981-2018 x N/A 87800 4.1 2007-2018 + N/A | N/A | (14) 1981-2018 x N/A 81200 3.8
BE
1400
2500
N/A
p
estimate
noChange
0.7
2008-2019 = -30 | 24 | (0) 1973-2018 + 273 | 567 | (433) 26475 # 1.2 2008-2018 = N/A 1973-2018 + N/A | N/A | (78.21) 25600 1.2
BG
4500
8000
N/A
p
estimate
knowledge
2.2
2000-2018 + 20 | 30 | (N/A) 1980-2018 + 20 | 30 | (N/A) 49635 2.3 2000-2018 + 20 | 30 | (N/A) 1980-2018 + 25 | 35 | (N/A) 51200 2.4
CZ
5000
10000
N/A
p
estimate
genuine
2.7
2007-2018 + N/A | N/A | (3) 1982-2018 + N/A | N/A | (2) # 79700 3.7 2002-2016 = N/A | N/A | (4) 1986-2016 = N/A | N/A | (8.34) # 76000 3.6
DE
32000
51000
N/A
p
estimate
genuine
14.7
2004-2016 = N/A | N/A | (4) 1980-2016 = -30 | 40 | (N/A) 341530 16.0 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (N/A) 350600 16.4
DK
N/A
N/A
225
p
estimate
noChange
2004-2017 = N/A 1980-2017 + N/A | N/A | (542) 10800 0.5 1996-2017 = N/A | N/A | (1.88) 1974-2017 + N/A | N/A | (217.64) # 10800 0.5
EE
5000
7000
N/A
p
estimate
genuine
2.1
2007-2018 = -25 | 38 | (N/A) 1983-2018 + -865 | 149 | (N/A) 48600 2.3 2007-2018 = 2 | 4 | (N/A) 1980-2018 = 4 | 6 | (N/A) 32000 1.5
ES
3188
5583
N/A
p
minimum
knowledge
#
1.6
2007-2018 = N/A 1980-2018 + N/A 23748 1.1 2007-2018 + N/A | N/A | (41.9) 1980-2018 + N/A | N/A | (351.9) 23500 1.1
FI
23402
35307
30879
p
interval
knowledge
11.0
2007-2018 = -19 | 14 | (-4) 1980-2018 + 59 | 236 | (131) 204000 9.6 N/A N/A N/A 1980-2010 + 23 | 23 | (N/A) 203900 9.6
FR
25000
40000
N/A
p
estimate
knowledge
11.5
2007-2018 = N/A 2001-2018 + N/A | N/A | (14) 305000 14.3 2007-2018 = 0 | 3 | (N/A) 1985-2018 + 50 | 65 | (N/A) # 301200 14.1
GR
1000
2000
N/A
p
estimate
noChange
0.5
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 50700 2.4 2007-2018 x N/A 1980-2018 x N/A 46300 2.2
HR
1200
1800
N/A
p
estimate
N/A
0.5
2007-2018 x N/A 1980-2018 x N/A 20173 0.9 2007-2018 x N/A 1980-2018 x N/A 48800 2.3
HU
8800
10300
N/A
p
interval
knowledge
#
3.4
2007-2018 x N/A 1980-2018 + N/A | N/A | (360) # 68050 # 3.2 2007-2018 = N/A 1980-2018 + 20 | 30 | (N/A) # 68600 3.2
IT
1300
3700
N/A
p
estimate
noChange
0.9
2000-2014 = N/A 1993-2018 = N/A 59600 2.8 2007-2018 + 30 | 35 | (N/A) 1993-2018 + 110 | 115 | (N/A) 58300 2.7
LT
4900
7000
N/A
p
estimate
genuine
2.1
2013-2018 - -5 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 35500 1.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 34900 1.6
LU
100
150
N/A
p
estimate
noChange
#
2007-2018 = 0 | 0 | (N/A) 1980-2018 + 0 | 10 | (N/A) 1029 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500 0.1
LV
6000
10000
N/A
p
estimate
method
2.8
2008-2018 = -34.06000 | 46.31 | (-1) 1991-2018 - N/A | N/A | (-47) 60500 2.8 2000-2017 = N/A 1980-2017 = N/A 59300 2.8
NL
700
1000
N/A
p
estimate
genuine
0.3
2006-2017 - -27 | -6 | (-17) 1984-2017 = -38 | 6 | (-19) 19200 0.9 2000-2015 = N/A | N/A | (-4.95) 1977-2015 = N/A | N/A | (-4.47) 17600 0.8
PL
30000
45000
N/A
p
interval
knowledge
13.3
2007-2018 = -15 | 13 | (-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
14500
57000
N/A
p
estimate
noChange
12.7
2008-2018 u -6 | 16 | (N/A) 1980-2018 x N/A 180100 8.4 2007-2018 = N/A 1980-2018 x N/A 178500 8.4
SE
22000
27000
24000
p
estimate
genuine
8.5
2007-2018 - -26 | -9 | (-18) 1980-2018 - -55 | -35 | (-46) 401400 18.8 2007-2018 = N/A 1980-2018 = N/A 400800 18.8
SI
4000
8000
N/A
p
estimate
noChange
2.1
2007-2018 x N/A 1980-2018 x N/A 16200 # 0.8 2007-2018 x N/A 1980-2018 + N/A | N/A | (127) # 14300 0.7
SK
2000
2500
N/A
p
estimate
knowledge
0.8
2007-2018 = N/A 1980-2018 = N/A 44936 2.1 2007-2018 = N/A 1980-2018 = N/A 47500 2.2
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 193000 297000 p = + 1950000 NE NE Secure A B Secure Dryocopus martius