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.

Map is only available at subspecific level.

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, Accipiter gentilis. 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
CY estimateExpert
CZ estimatePartial
DE estimateExpert
DK estimatePartial
EE estimatePartial
ES estimatePartial
FI estimatePartial
FR estimatePartial
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU estimateExpert
IT estimateExpert
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI estimatePartial
SK estimatePartial
UK 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
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK completeSurvey
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
CY
CZ
DE
DK
EE
ES
FI
FR
FR
GR
HR
HU
IT
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
1000
1500
N/A
p
estimate
genuine
1.7
2007-2018 - -30 | -10 | (N/A) 1981-2018 x N/A 45200 2.2 2007-2018 - N/A | N/A | (-20) 1981-2018 = N/A | N/A | (0) 43800 2.1 Accipiter gentilis all others
BE
800
1200
1000
p
estimate
method
1.3
2008-2018 = -14 | 28 | (7) 1973-2018 + 385 | 627 | (506) # 30463 # 1.5 2008-2018 = N/A | N/A | (4.55) 1973-2018 + N/A | N/A | (193.42) 30300 1.5 Accipiter gentilis all others
BG
560
970
N/A
p
estimate
noChange
1.0
2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 67182 3.3 2001-2018 = 0 | 0 | (N/A) 1980-2018 + 20 | 50 | (N/A) 69400 3.4 Accipiter gentilis all others
CY
80
120
N/A
p
estimate
noChange
0.1
2007-2018 = 0 | 0 | (N/A) 1980-2018 + 200 | 300 | (N/A) 3500 0.2 2007-2018 + N/A | N/A | (16) 1980-2018 = 0 | 0 | (N/A) 3500 0.2 Accipiter gentilis all others
CZ
1800
2500
N/A
p
estimate
noChange
#
2.9
2007-2018 + N/A | N/A | (7) 1982-2018 = N/A | N/A | (-2) # 52400 2.6 2002-2016 - N/A | N/A | (-14.2) 1986-2016 - N/A | N/A | (-16.29) # 50200 2.4 Accipiter gentilis all others
DE
11000
15500
N/A
p
estimate
genuine
17.8
2004-2016 = N/A | N/A | (-5) 1980-2016 = N/A | N/A | (-4) 338090 16.5 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 349900 16.9 Accipiter gentilis all others
DK
N/A
N/A
350
p
estimate
genuine
#
0.5
2006-2017 = -56.72 | 81.99 | (-9.32) 1985-2017 - -76.2 | -48.7 | (-64.98) # 27100 1.3 1996-2017 - N/A | N/A | (-18.12) 1974-2017 + N/A | N/A | (79.47) # 27000 1.3 Accipiter gentilis all others
EE
400
600
N/A
p
estimate
noChange
0.7
2007-2018 = -30 | -21 | (N/A) 1987-2018 - -61 | -56 | (N/A) 27500 1.3 2007-2018 = N/A | N/A | (6) 1980-2018 - N/A | N/A | (-39) 27400 1.3 Accipiter gentilis all others
ES
11536
16952
N/A
p
interval
genuine
#
19.1
2007-2018 u N/A 1980-2018 u N/A 58521 2.9 2007-2018 = N/A 1980-2018 = N/A 60400 2.9 Accipiter gentilis all others
FI
4375
5060
4710
p
interval
knowledge
6.3
2007-2018 - 11 | 26 | (19) 1982-2018 - 13 | 27 | (20) 176900 8.6 N/A N/A N/A 1980-2010 - 1 | 1 | (N/A) 176900 8.6 Accipiter gentilis all others
FR
70
100
N/A
p
estimate
noChange
54.8
2001-2018 x N/A 1980-2018 x N/A # 1382 13.8 2001-2018 x N/A 1985-2018 x N/A # 1500 14.8 Accipiter gentilis arrigonii
FR
4500
6500
5500
p
estimate
method
#
7.4
2000-2015 = 0 | 0 | (N/A) 1980-2015 x N/A 138300 6.8 2007-2018 = N/A 1985-2018 + 4 | 5 | (N/A) 137400 6.7 Accipiter gentilis all others
GR
1000
1200
N/A
p
estimate
noChange
1.5
2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (144) 140400 6.9 2007-2018 x N/A 1980-2018 x N/A 130800 6.3 Accipiter gentilis all others
HR
3000
3500
N/A
p
estimate
N/A
4.3
2007-2018 x N/A 1980-2018 x N/A 54321 2.6 2007-2018 x N/A 1980-2018 x N/A 69400 3.4 Accipiter gentilis all others
HU
1200
1600
N/A
p
estimate
knowledge
#
1.9
2007-2018 = N/A 1980-2018 - -50 | -30 | (N/A) 34748 1.7 2007-2018 = N/A 1980-2018 - -20 | -10 | (N/A) # 35800 1.7 Accipiter gentilis all others
IT
70
70
N/A
p
estimate
genuine
45.2
2007-2018 + 5 | 75 | (N/A) 1993-2018 + 0 | 40 | (N/A) 8600 86.2 2007-2018 = N/A 1993-2018 + N/A | N/A | (125) 8600 85.2 Accipiter gentilis arrigonii
IT
430
730
N/A
p
estimate
genuine
0.8
2007-2018 = N/A 1993-2018 = N/A 57200 2.8 2007-2018 - -15 | -10 | (N/A) 1993-2018 + 95 | 100 | (N/A) 56500 2.7 Accipiter gentilis all others
LT
500
800
N/A
p
estimate
noChange
0.9
2013-2018 = N/A 1980-2018 = N/A 11500 0.6 2006-2018 = N/A 1980-2018 = N/A 11400 0.6 Accipiter gentilis all others
LU
50
60
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 - -20 | 0 | (N/A) # 930 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2700 0.1 Accipiter gentilis all others
LV
428
13272
2104
p
interval
method
#
2.8
2007-2018 - -95.44 | -24.51 | (-79.53) 1991-2016 x N/A 21900 1.1 2000-2017 - N/A | N/A | (-36) 1980-2017 - N/A | N/A | (-44) 21900 1.1 Accipiter gentilis all others
NL
1900
2300
N/A
p
estimate
noChange
2.8
2006-2017 = -16 | 9 | (-4) 1984-2017 + 40 | 154 | (89) 39100 1.9 2000-2015 + N/A | N/A | (18.48) 1977-2015 + N/A | N/A | (234.18) 36500 1.8 Accipiter gentilis all others
PL
4900
6300
N/A
p
mean
knowledge
7.5
2007-2018 = -37 | 23 | (-12) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A Accipiter gentilis all others
PT
100
500
N/A
p
estimate
noChange
#
0.4
2007-2018 x N/A 1980-2018 x N/A # 17900 # 0.9 2005-2018 + N/A | N/A | (14) 1980-2018 x N/A # 17900 0.9 Accipiter gentilis all others
RO
N/A
N/A
3724
p
Minimum
N/A
#
5.0
2007-2018 x N/A 1980-2018 x N/A 147500 7.2 2007-2018 x N/A 1980-2018 x N/A 147100 7.1 Accipiter gentilis all others
SE
4500
11000
7600
p
estimate
noChange
10.2
2007-2018 = -30 | 50 | (0) 1980-2018 - -66 | -24 | (-49) 458000 22.4 2007-2018 = N/A 1980-2018 = N/A 457300 22.1 Accipiter gentilis all others
SI
500
1000
N/A
p
estimate
noChange
1.0
2002-2017 = N/A 1980-2017 u N/A | N/A | (-20) # 6100 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (-11) # 5700 0.3 Accipiter gentilis all others
SK
900
1200
N/A
p
estimate
noChange
1.4
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -20 | -10 | (N/A) 39572 1.9 2007-2018 = N/A 1980-2018 = N/A 43600 2.1 Accipiter gentilis all others
UK
N/A
N/A
584
p
mean
genuine
#
0.8
2001-2016 + N/A | N/A | (73) 1978-2016 + N/A | N/A | (1154) 52500 2.6 1989-2009 + 121.52 | 121.52 | (N/A) 1970-2009 + 1400 | 1400 | (N/A) 51900 2.5 Accipiter gentilis all others
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 56500 95500 p - - 1899900 NE NE Secure A B Secure Accipiter gentilis
EU28 140 170 p x x 9900 NE NE Threatened C B Threatened Accipiter gentilis arrigonii
EU28 56300 95300 p - - 1890000 NE NE Secure A B Not Evaluated Accipiter gentilis all others