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 LT, LU

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, Pernis apivorus. 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 estimatePartial
FI estimatePartial
FR estimateExpert
GR estimatePartial
HR estimateExpert
HU estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI estimatePartial
SK estimatePartial
UK completeSurvey
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
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK estimateExpert
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
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IT
LT
LU
LV
NL
PL
PT
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
1200
2000
N/A
p
estimate
noChange
2.7
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 64100 3.6 2007-2018 = N/A | N/A | (10) 1981-2018 = N/A | N/A | (0) 61900 3.3
BE
690
1130
910
p
estimate
noChange
#
1.5
2008-2018 = -29 | 16 | (-7) 1973-2018 + 156 | 319 | (237) 29418 # 1.6 2008-2018 = N/A 1973-2018 + N/A | N/A | (115.5) 31800 1.7
BG
400
800
N/A
p
estimate
noChange
1.0
2001-2018 = 0 | 0 | (N/A) 1980-2018 + 100 | 200 | (N/A) 56993 3.2 2001-2018 = 0 | 0 | (N/A) 1980-2018 + 100 | 200 | (N/A) 59700 3.2
CZ
650
1200
N/A
p
estimate
noChange
1.5
2007-2019 = N/A 1985-2015 = N/A # 45200 2.5 2002-2016 = N/A | N/A | (6.92) 1986-2016 + N/A | N/A | (25.22) # 44100 2.4
DE
4000
5500
N/A
p
estimate
genuine
7.9
2004-2016 = N/A | N/A | (-6) 1980-2016 = N/A | N/A | (-14) 242624 13.6 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (N/A) 247400 13.2
DK
N/A
N/A
650
p
estimate
noChange
1.1
2004-2017 = N/A 1980-2017 + N/A | N/A | (50) 19800 1.1 1996-2017 + N/A | N/A | (15) 1974-2017 + N/A | N/A | (50) # 19800 1.1
EE
1000
1500
N/A
p
estimate
knowledge
2.1
2007-2018 = -5 | 21 | (N/A) 1987-2018 = -15 | 57 | (N/A) 34300 1.9 2007-2018 = 7 | 8 | (N/A) 1980-2018 + 35 | 49 | (N/A) 15900 0.8
ES
1710
1960
N/A
p
interval
noChange
#
3.1
1998-2015 = N/A 1980-2015 = N/A 35318 2.0 1998-2015 = N/A 1980-2015 = N/A 36600 1.9
FI
1811
2717
2335
p
interval
noChange
3.9
2007-2018 - 10 | 39 | (26) 1982-2018 - 44 | 58 | (51) 75900 4.2 N/A N/A N/A 1980-2010 - 22 | 22 | (N/A) 75900 4.0
FR
10600
15000
12600
p
estimate
method
21.0
2007-2017 = N/A | N/A | (0) 1980-2017 = N/A | N/A | (0) 309100 17.3 2009-2017 = N/A | N/A | (0) 1985-2017 + 10 | 15 | (N/A) 307500 16.4
GR
1000
2000
N/A
p
estimate
noChange
2.5
2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (200) 138100 7.7 2007-2018 x N/A 1980-2018 x N/A 127500 6.8
HR
150
250
N/A
p
estimate
N/A
0.3
2007-2018 x N/A 1980-2018 x N/A 18986 1.1 2007-2018 x N/A 1980-2018 x N/A 47100 2.5
HU
800
1000
N/A
p
estimate
knowledge
#
1.5
2007-2018 = N/A 1980-2018 + 50 | 100 | (N/A) # 14445 0.8 2007-2018 = N/A 1980-2018 + 0 | 20 | (N/A) # 16400 0.9
IT
800
1200
N/A
p
estimate
genuine
1.7
2007-2018 + 20 | 35 | (N/A) 1993-2018 + 50 | 60 | (N/A) 122700 6.9 2007-2018 + 5 | 10 | (N/A) 1993-2018 + 245 | 250 | (N/A) 121200 6.5
LT
1400
1800
N/A
p
estimate
knowledge
2.7
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 13400 0.8 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 13200 0.7
LU
100
180
N/A
p
estimate
noChange
0.2
2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 791 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 3000 0.2
LV
1063
7203
2768
p
interval
method
4.6
2007-2018 + 27.2 | 94.1 | (184.4) 1991-2016 + 40 | 45 | (N/A) 30200 1.7 2000-2017 + N/A | N/A | (12) 1980-2017 + N/A | N/A | (142) 30100 1.6
NL
360
440
N/A
p
estimate
knowledge
0.7
2006-2017 x N/A 1984-2017 x N/A # 17700 1.0 2000-2015 = N/A | N/A | (2.9) 1977-2015 + N/A | N/A | (59.45) 16600 0.9
PL
3300
4000
N/A
p
mean
noChange
6.1
2008-2018 = -32 | 14 | (-12) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
150
300
N/A
p
estimate
noChange
#
0.4
2007-2018 x N/A 1980-2018 x N/A 11900 # 0.7 2005-2018 = N/A | N/A | (-16) 1980-2018 x N/A # 11800 0.6
RO
8944
13555
N/A
p
interval
N/A
#
18.8
2007-2018 x N/A 1980-2018 x N/A 141100 7.9 2007-2018 = N/A 1980-2018 x N/A 140200 7.5
SE
5200
8100
6600
p
estimate
noChange
11.0
2007-2018 = -20 | 20 | (0) 1980-2018 - -70 | -30 | (-50) 308000 17.2 2007-2018 = N/A 1980-2018 = N/A 307900 16.4
SI
300
500
N/A
p
estimate
noChange
0.7
2002-2017 x N/A 1980-2012 x N/A 10400 # 0.6 2007-2018 x N/A 1980-2018 + N/A | N/A | (187) # 9500 0.5
SK
1500
2000
N/A
p
estimate
knowledge
#
2.9
2007-2018 = N/A 1980-2018 x N/A # 41135 2.3 2007-2018 = N/A 1980-2018 = N/A 43600 2.3
UK
33
69
N/A
p
estimate
noChange
#
2001-2016 - N/A | N/A | (-6) 1978-2016 + N/A | N/A | (533) 8100 # 0.5 1989-2009 + 200 | 200 | (N/A) 1970-2009 + 636.36 | 636.36 | (N/A) 84200 4.5
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 38800 61500 p = = 1640000 NE NE Secure A B Secure Pernis apivorus