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Article 12 > Species report

Species trends at the Member State level

Choose a period and a country:

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, EE.
Data from Member States reports
Species 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
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE completeSurvey
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE completeSurvey
EE estimatePartial
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE completeSurvey
EE completeSurvey
EE estimatePartial
EE estimatePartial
EE completeSurvey
EE
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE completeSurvey
EE estimatePartial
EE
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE completeSurvey
EE completeSurvey
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE completeSurvey
EE
EE estimatePartial
EE completeSurvey
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE
EE
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE completeSurvey
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE completeSurvey
EE completeSurvey
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE completeSurvey
EE completeSurvey
EE estimatePartial
EE completeSurvey
EE estimatePartial
EE estimateExpert
EE estimatePartial
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimateExpert
EE estimatePartial
Max
Best value Unit Type est. Change ℹ % MS ST period ST direction ST magnitude LT period LT direction LT magnitude ℹ
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
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE
EE
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
EE estimatePartial
Area
ℹ % MS ST period ST direction ST magnitude LT period LT direction LT magnitude ℹ 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
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE completeSurvey
EE completeSurvey
EE
EE
EE
EE
EE completeSurvey
EE
EE
EE estimateExpert
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE completeSurvey
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE estimateExpert
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE completeSurvey
EE completeSurvey
EE completeSurvey
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE completeSurvey
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
EE
Max
Best value Unit Type est. Change ℹ % MS ST period ST direction ST magnitude LT period LT direction LT magnitude ℹ Status Distrib. % MS
Accipiter gentilis all others
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
Accipiter nisus all others
3000
4000
N/A
p
estimate
knowledge
 #
1.4
2007-2018 = -3 | 6 | (N/A) 1987-2018 = -3 | 16 | (N/A) 41000 1.4 2007-2018 = N/A | N/A | (3) 1980-2018 - N/A | N/A | (-14) 21200 0.7 Accipiter nisus all others
Acrocephalus arundinaceus
4000
6000
N/A
p
estimate
knowledge
0.3
2007-2018 = N/A 1980-2018 + 10 | 60 | (N/A) 28800 3.2 2007-2018 + 16 | 17 | (N/A) 1980-2018 + 25 | 29 | (N/A) 16800 1.9
Acrocephalus dumetorum
40000
80000
N/A
p
estimate
knowledge
27.7
2007-2018 = N/A 1980-2018 + 200 | 1200 | (N/A) 41900 17.9 2007-2018 + 14 | 25 | (N/A) 1980-2018 + 55 | 117 | (N/A) 24800 11.5
Acrocephalus palustris
100000
180000
N/A
p
estimate
genuine
4.2
2007-2018 - -42 | -35 | (N/A) 1983-2018 = -38 | 26 | (N/A) 48900 3.2 2007-2018 = -2 | 0 | (N/A) 1980-2018 + 19 | 20 | (N/A) 21300 1.4
Acrocephalus schoenobaenus
100000
150000
N/A
p
estimate
genuine
7.1
2007-2018 - -56 | -50 | (N/A) 1983-2018 - -78 | -64 | (N/A) 47700 3.3 2007-2018 = 4 | 5 | (N/A) 1980-2018 = 5 | 6 | (N/A) 25500 1.8
Acrocephalus scirpaceus
10000
20000
N/A
p
estimate
noChange
0.7
2007-2018 = N/A 1980-2018 + 100 | 200 | (N/A) 25700 1.7 2007-2018 + 16 | 17 | (N/A) 1980-2018 + 31 | 40 | (N/A) 15000 1.0
Actitis hypoleucos
5000
8000
N/A
p
estimate
genuine
2.1
2006-2017 - -72 | -29 | (N/A) 1980-2017 - -351 | -91 | (N/A) 39100 3.0 2007-2018 = N/A | N/A | (10) 1980-2018 - N/A | N/A | (-13) 22900 1.7
Aegithalos caudatus
30000
50000
N/A
p
estimate
knowledge
0.5
2007-2018 = N/A 1980-2018 = N/A # 41800 1.5 2007-2018 = -1 | 2 | (N/A) 1980-2018 + 29 | 37 | (N/A) 13100 0.5
Aegolius funereus
100
200
N/A
p
estimate
knowledge
 #
0.2
2007-2018 = N/A 1987-2018 - -220 | 7 | (N/A) 10200 1.1 2007-2018 = N/A | N/A | (6) 1980-2018 - N/A | N/A | (-43) 10200 1.1
Alauda arvensis
450000
550000
N/A
p
estimate
genuine
1.6
2007-2018 - -33 | -28 | (N/A) 1983-2018 - -66 | -58 | (N/A) 55000 1.8 2007-2018 = N/A | N/A | (1) 1980-2018 = N/A | N/A | (-1) 34000 1.1
Alca torda
1
10
N/A
i
estimate
knowledge
2006-2017 = 30 | 65 | (N/A) 1980-2017 + 0 | 470 | (10) 900 1.8 2007-2018 + 58 | 100 | (N/A) 1980-2018 + 95 | 800 | (N/A) 900 1.7
Alcedo atthis
200
500
N/A
p
estimate
knowledge
 #
0.3
2006-2017 + -10 | 20 | (N/A) 1980-2017 = N/A 15300 1.1 2007-2018 + 26 | 27 | (N/A) 1980-2018 + 19 | 21 | (N/A) 15200 1.0
Anas acuta
10
20
N/A
p
estimate
noChange
0.1
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -78 | -38 | (N/A) 1900 0.9 2007-2018 - N/A | N/A | (-16) 1980-2018 - N/A | N/A | (-82) 1900 0.9
Anas crecca
1500
2500
N/A
p
estimate
knowledge
 #
0.7
2006-2017 = -25 | -7 | (N/A) 1980-2017 - -46 | -27 | (N/A) 34900 3.0 2007-2018 + N/A | N/A | (14) 1980-2018 - N/A | N/A | (-18) 20 100 N/A i estimate genuine 2006-2017 + 20 | 50 | (N/A) 1980-2017 = 0 | 20 | (N/A) keywintering 19100 1.6
Anas platyrhynchos
40000
60000
N/A
p
estimate
knowledge
 #
2.0
2006-2017 = 1 | 20 | (N/A) 1980-2017 - -36 | -12 | (N/A) 55800 1.7 2007-2018 = 2 | 4 | (N/A) 1980-2018 = 2 | 3 | (N/A) 16000 21000 N/A i estimate genuine 0.4 2006-2017 = 0 | 20 | (N/A) 1980-2017 + 20 | 50 | (N/A) keywintering 39800 1.2
Anser anser
600
800
N/A
p
estimate
knowledge
 #
0.3
2006-2017 = 23 | 34 | (N/A) 1980-2017 - -29 | -27 | (N/A) # 8500 1.0 2007-2018 = -6 | 5 | (N/A) 1980-2018 = 9 | 18 | (N/A) 8500 1.0
Anthus campestris
1
10
N/A
p
estimate
genuine
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -50 | -20 | (N/A) 600 2007-2018 - N/A | N/A | (-50) 1980-2018 - N/A | N/A | (-40) 600
Anthus petrosus
1
5
N/A
p
estimate
knowledge
2006-2017 = N/A 1980-2017 = N/A 600 0.4 2007-2018 = 20 | 69 | (N/A) 1980-2018 = N/A 600 0.4
Anthus pratensis
100000
150000
N/A
p
estimate
genuine
2.5
2006-2017 - -34 | -28 | (N/A) 1983-2018 - -79 | -60 | (N/A) 50300 3.1 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 5 | 6 | (N/A) 25100 1.6
Anthus trivialis
300000
600000
N/A
p
estimate
knowledge
4.9
2007-2018 = N/A 1983-2018 - -45 | -42 | (N/A) # 54400 2.1 2007-2018 = -1 | 0 | (N/A) 1980-2018 = 0 | 2 | (N/A) 30000 1.2
Apus apus
50000
100000
N/A
p
estimate
knowledge
0.5
2007-2018 = -16 | -11 | (N/A) 1980-2018 = N/A 51600 1.7 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-2) 18900 0.6
Aquila chrysaetos
60
65
N/A
p
estimate
genuine
1.1
2006-2017 + 20 | 50 | (N/A) 1980-2017 + 20 | 50 | (N/A) 7200 0.9 2007-2018 + 46 | 80 | (N/A) 1980-2018 + 57 | 106 | (N/A) 7100 0.9
Ardea alba
100
300
N/A
p
estimate
genuine
2.1
2006-2017 + 50 | 100 | (N/A) 1980-2017 + N/A | N/A | (10) 2600 2.1 2007-2018 + N/A | N/A | (97) 1980-2018 + N/A | N/A | (100) 2600 2.0
Ardea cinerea
2000
3000
N/A
p
estimate
genuine
1.7
2006-2017 = 23 | 66 | (N/A) 1980-2017 + 66 | 92 | (N/A) 5400 0.4 2007-2018 = N/A 1980-2018 = 4 | 19 | (N/A) 5400 0.5
Arenaria interpres
20
40
N/A
p
estimate
genuine
1.2
2006-2017 - N/A | N/A | (-17) 1980-2017 - -89 | -75 | (N/A) 3500 6.9 2007-2018 = N/A | N/A | (-1) 1980-2018 - N/A | N/A | (-55) 3500 6.9
Asio flammeus
5
20
N/A
p
estimate
knowledge
0.1
2007-2018 F N/A 1987-2018 F N/A 4800 1.2 2007-2018 F N/A | N/A | (-1) 1980-2018 F N/A | N/A | (-48) 4800 1.2
Asio otus
1500
3000
N/A
p
estimate
knowledge
1.1
2007-2018 = 1 | 43 | (N/A) 1987-2018 + 2 | 114 | (N/A) 36000 1.6 2007-2018 = 7 | 9 | (N/A) 1980-2018 + 12 | 13 | (N/A) 20200 0.9
Aythya ferina
300
600
N/A
p
estimate
genuine
1.1
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -945 | 132 | (N/A) # 4500 1.1 2007-2018 - N/A | N/A | (-24) 1980-2018 - N/A | N/A | (-63) 5 30 N/A i estimate noChange 2006-2017 = 0 | 20 | (N/A) 1980-2017 = 0 | 20 | (N/A) keywintering 4500 1.1
Aythya fuligula
3000
5000
N/A
p
estimate
noChange
1.7
2006-2017 = 67 | 71 | (N/A) 1980-2017 - -144 | -9 | (N/A) # 28900 2.3 2007-2018 = 17 | 18 | (N/A) 1980-2018 = 8 | 10 | (N/A) 3000 5000 N/A i estimate genuine # 0.3 2006-2017 + N/A | N/A | (50) 1980-2017 + N/A | N/A | (50) keywintering 17200 1.4
Aythya marila
5
10
N/A
p
estimate
knowledge
0.6
2006-2017 = -102 | 102 | (N/A) 1980-2017 - -100 | -96 | (N/A) 1400 1.6 2007-2018 = N/A 1980-2018 - N/A | N/A | (-44) 300 3500 N/A i estimate genuine 0.9 2006-2017 + 20 | 50 | (N/A) 1980-2017 + 20 | 50 | (N/A) keywintering 1400 1.6
Bonasa bonasia
20000
25000
N/A
p
estimate
genuine
3.1
2007-2018 - -85 | -40 | (N/A) 1983-2018 - -123 | -92 | (N/A) 38900 4.0 2007-2018 = N/A | N/A | (5) 1980-2018 = N/A | N/A | (-2) 24600 2.6
Botaurus stellaris
300
400
N/A
cmales
estimate
knowledge
 #
2.2
2006-2017 = -1 | 21 | (N/A) 1980-2017 + 30 | 61 | (N/A) 13000 3.1 2007-2018 + 33 | 50 | (N/A) 1980-2018 + 49 | 81 | (N/A) 12900 3.0
Branta leucopsis
80
100
N/A
p
estimate
noChange
0.3
2006-2017 = 20 | 37 | (N/A) 1980-2017 + 90 | 302 | (N/A) 1500 1.6 2007-2018 - -1500 | -20 | (N/A) 1980-2018 + 96 | 1400 | (N/A) 1500 1.6 Branta leucopsis (Russia/Germany & Netherlands)
Bubo bubo
30
50
N/A
p
estimate
genuine
0.3
2007-2018 - -80 | -4 | (N/A) 1987-2018 - -99 | -74 | (N/A) 5300 0.5 2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-63) 5300 0.5
Bucephala clangula
6000
10000
N/A
p
estimate
genuine
3.7
2006-2017 = 7 | 34 | (N/A) 1980-2017 + 72 | 184 | (N/A) 42300 4.6 2007-2018 + 14 | 38 | (N/A) 1980-2018 + 70 | 223 | (N/A) 30000 50000 N/A i estimate genuine 10.7 2006-2017 + 20 | 50 | (N/A) 1980-2017 + N/A | N/A | (50) keywintering 30100 3.3
Buteo buteo
7000
9000
N/A
p
estimate
knowledge
1.1
2007-2018 = -8 | 12 | (N/A) 1987-2018 = -21 | 32 | (N/A) 50300 1.4 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-1) 32500 0.9
Calidris alpina schinzii
180
230
N/A
p
estimate
noChange
44.9
2006-2017 = -25 | -13 | (N/A) 1980-2017 - -49 | -39 | (N/A) 6700 48.2 2007-2018 + N/A | N/A | (22) 1980-2018 - N/A | N/A | (-21) 6700 54.0 Calidris alpina schinzii (Baltic/SW Europe & NW Africa)
Calidris maritima
50 150 N/A i estimate noChange 0.6 2006-2017 + N/A | N/A | (50) 1980-2017 = 0 | 20 | (N/A) keywintering
Calidris pugnax
10
30
N/A
i
estimate
method
2006-2017 - -84 | -30 | (N/A) 1980-2017 - N/A | N/A | (-91) 3200 1.4 2007-2018 - N/A | N/A | (-20) 1980-2018 - N/A | N/A | (-80) 3200 1.4
Caprimulgus europaeus
5000
10000
N/A
cmales
estimate
knowledge
2.9
2006-2017 = -10 | 10 | (N/A) 1980-2017 - -50 | -20 | (N/A) 36500 2.7 2007-2018 = N/A | N/A | (7) 1980-2018 - N/A | N/A | (-19) 20600 1.5
Carduelis carduelis
30000
40000
N/A
p
estimate
genuine
0.1
2005-2016 + 66 | 95 | (N/A) 1980-2018 = 26 | 68 | (N/A) 49700 1.4 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (0) 21400 0.6
Carpodacus erythrinus
80000
120000
N/A
p
estimate
genuine
21.1
2007-2018 - -54 | -47 | (N/A) 1983-2018 - -40 | -32 | (N/A) 53800 8.7 2007-2018 = -2 | -1 | (N/A) 1980-2018 = 3 | 5 | (N/A) 27400 4.6
Cepphus grylle
10
20
N/A
i
estimate
knowledge
2006-2017 = N/A 1980-2017 = N/A 500 0.5 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 500 0.5
Certhia familiaris
60000
100000
N/A
p
estimate
genuine
1.6
2007-2018 - -40 | -25 | (N/A) 1983-2018 = -63 | 354 | (N/A) # 48200 2.4 2007-2018 = -3 | 0 | (N/A) 1980-2018 = 8 | 9 | (N/A) 18800 0.9
Charadrius dubius
1000
2000
N/A
p
estimate
noChange
1.7
2006-2017 = N/A 1980-2017 = -160 | 184 | (N/A) 20400 1.6 2007-2018 = N/A | N/A | (-2) 1980-2018 - N/A | N/A | (-34) 20200 1.6
Charadrius hiaticula
1000
2000
N/A
p
estimate
noChange
4.4
2006-2017 = 1 | 4 | (N/A) 1980-2017 - -18 | -2 | (N/A) 11600 3.0 2007-2018 - N/A | N/A | (-14) 1980-2018 - N/A | N/A | (-21) 11500 2.9
Chlidonias leucopterus
0
5
N/A
p
estimate
knowledge
2006-2017 F N/A 1980-2017 x N/A 1300 20.0 2007-2018 + 78 | 800 | (N/A) 1980-2018 + 96 | 1200 | (N/A) 1300 18.8
Chlidonias niger
700
1000
N/A
p
estimate
genuine
5.8
2006-2017 - -44 | -14 | (N/A) 1980-2017 - -70 | -45 | (N/A) 5500 8.0 2007-2018 = N/A | N/A | (-9) 1980-2018 - N/A | N/A | (-19) 5500 7.8
Chloris chloris
50000
100000
N/A
p
estimate
genuine
0.4
2007-2018 + 13 | 60 | (N/A) 1983-2018 + 168 | 341 | (N/A) 53900 1.4 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 5 | 7 | (N/A) 24400 0.6
Ciconia ciconia
4500
5500
N/A
p
estimate
genuine
4.3
2007-2018 + 54 | 61 | (N/A) 1980-2018 + 200 | 300 | (N/A) 40600 5.2 2007-2018 = 3 | 5 | (N/A) 1980-2018 + 11 | 12 | (N/A) 25800 3.6 Ciconia ciconia (Central & Eastern Europe/Sub-Saharan Africa)
Ciconia nigra
40
60
N/A
p
estimate
genuine
0.6
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -100 | -50 | (N/A) 13100 2.7 2007-2018 - N/A | N/A | (-13) 1980-2018 - N/A | N/A | (-45) 13100 2.7
Cinclus cinclus
3
10
N/A
p
estimate
noInfo
2006-2017 u 20 | 50 | (N/A) 1980-2017 x N/A 800 2007-2018 u 89 | 200 | (N/A) 1980-2018 u 83 | 167 | (N/A) # 800
Circaetus gallicus
0
2
N/A
p
estimate
noChange
2006-2017 = -10 | 10 | (N/A) 1980-2017 = -10 | 10 | (N/A) 100 2007-2018 - N/A | N/A | (-25) 1980-2018 - N/A | N/A | (-100) 100
Circus aeruginosus
1000
1300
N/A
bfemales
estimate
genuine
1.7
2007-2018 + 43 | 69 | (N/A) 1987-2018 + 93 | 194 | (N/A) 37200 3.1 2007-2018 + 21 | 61 | (N/A) 1980-2018 + 69 | 215 | (N/A) 25300 2.1
Circus cyaneus
10
30
N/A
bfemales
estimate
genuine
0.2
2007-2018 - -346 | -99 | (N/A) 1987-2018 - -129 | -37 | (N/A) 16400 3.0 2007-2018 - -63 | -22 | (N/A) 1980-2018 - -43 | -18 | (N/A) # 4400 0.8
Circus pygargus
300
400
N/A
bfemales
estimate
knowledge
2.1
2007-2018 = -25 | 19 | (N/A) 1987-2018 = -68 | 51 | (N/A) 23600 5.2 2007-2018 + 25 | 60 | (N/A) 1980-2018 + 65 | 178 | (N/A) # 15000 3.0
Clanga clanga
5
10
N/A
p
estimate
noChange
31.2
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -100 | -50 | (N/A) 1500 48.4 2007-2018 = 0 | 40 | (N/A) 1980-2018 u 88 | 400 | (N/A) # 1500 48.4
Clanga pomarina
500
600
N/A
p
estimate
knowledge
4.2
2007-2018 = 8 | 35 | (N/A) 1987-2018 + 69 | 87 | (N/A) 26600 9.7 2007-2018 = N/A | N/A | (9) 1980-2018 + 38 | 56 | (N/A) 26300 9.7
Clangula hyemalis
100000 500000 N/A i estimate noChange 19.2 2006-2017 = 0 | 20 | (N/A) 1980-2017 = 0 | 20 | (N/A) keywintering
Coccothraustes coccothraustes
20000
35000
N/A
p
estimate
knowledge
0.8
2007-2018 = -74 | -14 | (N/A) 1983-2018 - -59 | -52 | (N/A) 39100 2.1 2007-2018 = 5 | 6 | (N/A) 1980-2018 + 31 | 42 | (N/A) 14700 0.8
Columba livia
30000
60000
N/A
p
estimate
knowledge
 #
0.3
2007-2018 + 14 | 16 | (N/A) 1983-2018 = 21 | 35 | (N/A) 40100 1.9 2007-2018 = N/A | N/A | (-3) 1980-2018 = N/A | N/A | (-21) # 9900 0.5 Columba livia (feral populations)
Columba oenas
500
1000
N/A
p
estimate
noChange
2007-2018 = N/A 1983-2018 - -60 | -31 | (N/A) 20800 1.4 2007-2018 + N/A | N/A | (22) 1980-2018 - N/A | N/A | (-21) 12100 0.8
Columba palumbus palumbus
50000
70000
N/A
p
estimate
knowledge
0.3
2007-2018 + 50 | 61 | (N/A) 1980-2017 + 198 | 713 | (N/A) 54500 1.4 2007-2018 = 1 | 3 | (N/A) 1980-2018 = 3 | 4 | (N/A) 33100 0.9 Columba palumbus palumbus
Coracias garrulus
N/A
N/A
0
p
estimate
genuine
2006-2017 - -20 | 0 | (N/A) 1980-2017 - -100 | -50 | (N/A) 200 2007-2018 - N/A | N/A | (-75) 1980-2018 - N/A | N/A | (-99) # 200
Corvus corax
4000
5000
N/A
p
estimate
genuine
1.2
2007-2018 = -19 | 11 | (N/A) 1983-2018 = 7 | 206 | (N/A) 51300 1.7 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (-2) 25000 0.8
Corvus corone
40000
70000
N/A
p
estimate
noChange
0.8
2007-2018 = 5 | 6 | (N/A) 1983-2018 - -37 | 9 | (N/A) 54500 1.4 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (-2) 24900 0.7 Corvus corone ([including cornix])
Corvus frugilegus
8000
12000
N/A
p
estimate
noChange
0.5
2007-2018 = N/A 1980-2018 = N/A 8200 0.9 2007-2018 + 16 | 25 | (N/A) 1980-2018 = 4 | 14 | (N/A) 4300 0.5
Corvus monedula
20000
40000
N/A
p
estimate
knowledge
0.5
2007-2018 = N/A 1983-2018 = 5 | 12 | (N/A) 37500 1.5 2007-2018 = N/A | N/A | (-3) 1980-2018 - N/A | N/A | (-20) 12100 0.5
Coturnix coturnix
200
1000
N/A
cmales
estimate
knowledge
 #
2006-2017 F N/A 1980-2017 F N/A 20400 1.1 2007-2018 F 26 | 46 | (N/A) 1980-2018 F 54 | 106 | (N/A) 10400 0.6
Crex crex
20000
40000
N/A
cmales
estimate
genuine
 #
15.1
2007-2018 - -104 | -51 | (N/A) 1980-2018 - -248 | -64 | (N/A) 51300 5.9 2007-2018 = 1 | 3 | (N/A) 1980-2018 = 1 | 3 | (N/A) 34500 4.0
Cuculus canorus
30000
40000
N/A
cmales
estimate
knowledge
1.2
2007-2018 = -14 | -13 | (N/A) 1982-2018 = -1 | 16 | (N/A) # 54100 1.5 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (0) 30900 0.9
Cyanecula svecica
5
20
N/A
p
estimate
noInfo
2006-2017 u -10 | 10 | (N/A) 1980-2017 u -10 | 10 | (N/A) 1600 0.4 2007-2018 u N/A | N/A | (29) 1980-2018 u N/A | N/A | (-6) 1600 0.4
Cyanistes caeruleus s. str.
100000
150000
N/A
p
estimate
noChange
0.4
2007-2018 = N/A 1983-2018 = N/A 52900 1.4 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 9 | 10 | (N/A) 25500 0.7 Cyanistes caeruleus s. str. (sensu stricto [excluding teneriffae])
Cygnus columbianus bewickii
5 30 N/A i estimate noChange 2006-2017 + N/A | N/A | (50) 1980-2017 - -50 | -20 | (N/A) keywintering & I
Cygnus cygnus
250
300
N/A
p
estimate
genuine
1.3
2006-2017 + 12 | 93 | (N/A) 1980-2017 + 133 | 180 | (N/A) 13400 1.7 2007-2018 + 37 | 4300 | (N/A) 1980-2018 + 99 | 13300 | (N/A) 1000 3000 N/A i estimate knowledge 1.2 2006-2017 = -10 | 0 | (N/A) 1980-2017 - -30 | 0 | (N/A) keywintering & I 13400 1.7
Cygnus olor
4000
5000
N/A
p
estimate
genuine
5.6
2006-2017 + 77 | 78 | (N/A) 1980-2017 + 385 | 618 | (N/A) 32200 2.7 2007-2018 + 17 | 43 | (N/A) 1980-2018 + 68 | 201 | (N/A) 8000 17000 N/A i estimate genuine 5.8 2006-2017 + N/A | N/A | (50) 1980-2017 + 20 | 50 | (N/A) keywintering 20600 1.7
Delichon urbicum
50000
100000
N/A
p
estimate
genuine
0.6
2007-2018 - -28 | -9 | (N/A) 1983-2018 - -40 | -12 | (N/A) 53200 1.4 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-2) 22000 0.6
Dendrocopos leucotos
4000
6000
N/A
p
estimate
knowledge
8.1
2007-2018 = -11 | 83 | (N/A) 1980-2018 + 0 | 20 | (N/A) 27700 8.0 2007-2018 = 0 | 3 | (N/A) 1980-2018 + 53 | 104 | (N/A) 27200 7.8
Dendrocopos major all others
40000
60000
N/A
p
estimate
knowledge
0.9
2007-2018 = -30 | 16 | (N/A) 1983-2018 + 40 | 57 | (N/A) 52400 1.5 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-2) 31200 0.9 Dendrocopos major all others
Dryobates minor
3500
5000
N/A
p
estimate
genuine
1.5
2007-2018 - -69 | -4 | (N/A) 1983-2018 - -166 | -46 | (N/A) 43000 2.3 2007-2018 = N/A | N/A | (3) 1980-2018 = N/A | N/A | (-3) 21700 1.1
Dryocopus martius
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
Emberiza citrinella
150000
200000
N/A
p
estimate
noChange
1.1
2007-2018 = 6 | 50 | (N/A) 1983-2018 - -45 | -25 | (N/A) 55100 2.0 2007-2018 = 1 | 2 | (N/A) 1980-2018 = 2 | 4 | (N/A) 32300 1.2
Emberiza hortulana
200
300
N/A
p
estimate
genuine
2006-2017 - -100 | -50 | (N/A) 1980-2017 - -100 | -50 | (N/A) 8400 1.3 2007-2018 - N/A | N/A | (-17) 1980-2018 - N/A | N/A | (-58) 8400 1.3
Emberiza schoeniclus
50000
100000
N/A
p
estimate
knowledge
3.7
2007-2018 = -64 | 39 | (N/A) 1983-2018 + -69 | 82 | (N/A) 46300 2.2 2007-2018 = 4 | 5 | (N/A) 1980-2018 + 17 | 18 | (N/A) 26700 1.3
Erithacus rubecula
500000
800000
N/A
p
estimate
genuine
1.5
2007-2018 - -40 | -35 | (N/A) 1983-2018 = N/A 54900 1.5 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 2 | 3 | (N/A) 30600 0.8
Falco columbarius
10
30
N/A
p
estimate
genuine
0.2
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -50 | -20 | (N/A) 600 0.1 2007-2018 - N/A | N/A | (-21) 1980-2018 - N/A | N/A | (-94) 600 0.1
Falco subbuteo
700
900
N/A
p
estimate
genuine
1.4
2007-2018 = -10 | 24 | (N/A) 1987-2018 = -27 | 62 | (N/A) 36400 1.8 2007-2018 + 16 | 18 | (N/A) 1980-2018 = 2 | 4 | (N/A) 20800 1.0
Falco tinnunculus
700
900
N/A
p
estimate
genuine
0.2
2007-2018 + -11 | 59 | (N/A) 1987-2018 = -30 | 157 | (N/A) 18100 0.5 2007-2018 = N/A | N/A | (1) 1980-2018 - N/A | N/A | (-54) 18100 0.5
Ficedula albicollis
0
5
N/A
p
estimate
noChange
2006-2017 = 0 | 10 | (N/A) 1980-2017 x N/A 400 0.1 2007-2018 + N/A | N/A | (86) 1980-2018 + N/A | N/A | (100) 400 0.1
Ficedula hypoleuca
150000
200000
N/A
p
estimate
genuine
6.6
2007-2018 - -28 | -23 | (N/A) 1983-2018 - -23 | -15 | (N/A) 52700 3.6 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-1) 29900 2.1
Ficedula parva
40000
60000
N/A
p
estimate
knowledge
11.0
2007-2018 = -32 | -4 | (N/A) 1983-2018 + 65 | 68 | (N/A) 44600 8.2 2007-2018 = 4 | 5 | (N/A) 1980-2018 + 27 | 34 | (N/A) 28300 5.3
Fringilla coelebs all others
1600000
2000000
N/A
p
estimate
knowledge
1.8
2007-2018 = 1 | 5 | (N/A) 1983-2018 = -11 | -7 | (N/A) 57300 1.2 2007-2018 = 1 | 2 | (N/A) 1980-2018 = 4 | 5 | (N/A) 40200 1.0 Fringilla coelebs all others
Fringilla montifringilla
1
10
N/A
p
estimate
noChange
2006-2017 = N/A 1980-2017 - -100 | -50 | (N/A) 2200 0.5 2007-2018 = N/A | N/A | (4) 1980-2018 - N/A | N/A | (-55) 500 0.1
Fulica atra
1500
3000
N/A
p
estimate
genuine
0.3
2007-2018 - -82 | -61 | (N/A) 2001-2018 - -115 | -94 | (N/A) 23000 1.3 2007-2018 = N/A | N/A | (10) 1980-2018 - N/A | N/A | (-25) 50 2500 N/A i estimate genuine 2006-2017 + 20 | 50 | (N/A) 1980-2017 F N/A keywintering 13200 0.8
Galerida cristata
0
1
N/A
p
estimate
noChange
2006-2017 x N/A 1980-2017 x N/A 800 2007-2018 - N/A | N/A | (-30) 1980-2018 - N/A | N/A | (-100) 800
Gallinago gallinago
15000
25000
N/A
p
estimate
genuine
 #
3.5
2007-2018 - -92 | -74 | (N/A) 1983-2018 - -92 | -66 | (N/A) # 46600 3.8 2007-2018 = N/A | N/A | (4) 1980-2018 - N/A | N/A | (-11) 26200 2.2
Gallinago media
400
600
N/A
cmales
estimate
genuine
16.7
2006-2017 - -53 | -11 | (N/A) 1980-2017 - -282 | -53 | (N/A) 6500 13.7 2007-2018 = N/A 1980-2018 x N/A 6500 13.7
Gallinula chloropus
500
1000
N/A
p
estimate
knowledge
2006-2017 = -10 | 10 | (N/A) 1980-2017 - -10 | 0 | (N/A) 9700 0.5 2007-2018 = N/A | N/A | (-10) 1980-2018 - N/A | N/A | (-43) 9700 0.5
Garrulus glandarius
30000
50000
N/A
p
estimate
noChange
0.7
2007-2018 = -14 | 41 | (N/A) 1983-2018 + 208 | 291 | (N/A) 49300 1.4 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (-3) 17300 0.5
Gavia arctica
2
5
N/A
p
estimate
knowledge
2006-2017 = -20 | -11 | (N/A) 1980-2017 - -50 | -33 | (N/A) 600 2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-40) 600
Glaucidium passerinum
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
Grus grus
7000
8000
N/A
p
estimate
noChange
5.1
2006-2017 = 11 | 28 | (N/A) 1980-2017 + 80 | 102 | (N/A) 50700 5.0 2007-2018 = 6 | 7 | (N/A) 1980-2018 + 38 | 59 | (N/A) 34700 3.4
Haematopus ostralegus
2000
3000
N/A
p
estimate
genuine
1.3
2006-2017 - -9 | -8 | (N/A) 1980-2017 - -49 | -39 | (N/A) 10600 1.8 2007-2018 - N/A | N/A | (-30) 1980-2018 - N/A | N/A | (-27) 10600 1.8
Haliaeetus albicilla
290
330
N/A
p
estimate
genuine
5.6
2006-2017 + 50 | 100 | (N/A) 1980-2017 + 50 | 100 | (N/A) 20200 3.1 2007-2018 + 26 | 196 | (N/A) 1980-2018 + 89 | 778 | (N/A) 20200 3.1
Hippolais icterina
150000
200000
N/A
p
estimate
genuine
11.8
2007-2018 + 15 | 17 | (N/A) 1983-2018 = N/A 52000 4.5 2007-2018 = -3 | -2 | (N/A) 1980-2018 = 1 | 2 | (N/A) 25100 2.2
Hirundo rustica
50000
100000
N/A
p
estimate
genuine
0.3
2007-2018 - -21 | -16 | (N/A) 1985-2018 - -56 | -37 | (N/A) 55000 1.4 2007-2018 = -1 | 0 | (N/A) 1980-2018 = N/A | N/A | (0) 28100 0.7
Hydrocoloeus minutus
600
900
N/A
p
estimate
knowledge
5.4
2006-2017 - -77 | -19 | (N/A) 1980-2017 - -126 | -81 | (N/A) 4200 2.3 2007-2018 = N/A | N/A | (-1) 1980-2018 - N/A | N/A | (-38) 4200 2.3
Hydroprogne caspia
260
300
N/A
p
estimate
knowledge
14.9
2006-2017 = -20 | 14 | (N/A) 1980-2017 - -72 | -60 | (N/A) 2600 7.5 2007-2018 = 38 | 50 | (N/A) 1980-2018 = 24 | 42 | (N/A) # 2600 7.3
Iduna caligata
50
200
N/A
p
estimate
genuine
11.3
2006-2017 + 50 | 100 | (N/A) 1980-2017 + N/A | N/A | (10) 2400 31.6 2007-2018 + N/A | N/A | (76) 1980-2018 + N/A | N/A | (100) 2400 31.6
Jynx torquilla
5000
10000
N/A
p
estimate
noChange
1.6
2007-2018 = -49 | 12 | (N/A) 1980-2018 - -50 | -20 | (N/A) 45900 2.6 2007-2018 = N/A | N/A | (1) 1980-2018 = N/A | N/A | (-9) 25300 1.4
Lagopus lagopus rossica
10
20
N/A
p
estimate
genuine
96.8
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -100 | -50 | (N/A) 1600 94.1 2007-2018 - N/A | N/A | (-15) 1980-2018 - N/A | N/A | (-83) # 1600 94.1 Lagopus lagopus rossica
Lanius collurio
30000
40000
N/A
p
estimate
genuine
0.6
2007-2018 - -35 | -1 | (N/A) 1983-2018 - -46 | 3 | (N/A) 54000 2.1 2007-2018 = 1 | 2 | (N/A) 1980-2018 = 1 | 3 | (N/A) 35000 1.4
Lanius excubitor
300
400
N/A
p
estimate
knowledge
0.5
2006-2017 = 17 | 32 | (N/A) 1980-2017 + 84 | 149 | (N/A) 15700 2.4 2007-2018 + 49 | 59 | (N/A) 1980-2018 + 27 | 29 | (N/A) 10100 1.6 Lanius excubitor ([excluding meridionalis, but including koenigi])
Larus argentatus argentatus
10000
15000
N/A
p
estimate
genuine
6.1
2007-2018 - -22 | -16 | (N/A) 1980-2017 - -63 | -62 | (N/A) 28000 5.7 2007-2018 = 10 | 11 | (N/A) 1980-2018 + 45 | 75 | (N/A) 12800 2.8 Larus argentatus argentatus
Larus canus
7000
10000
N/A
p
estimate
knowledge
3.1
2006-2017 = N/A | N/A | (23) 1980-2017 - -35 | -8 | (N/A) 39000 4.0 2007-2018 + 11 | 12 | (N/A) 1980-2018 = 28 | 36 | (N/A) 23700 2.4
Larus fuscus fuscus
10
20
N/A
p
estimate
genuine
0.1
2006-2017 - -97 | -43 | (N/A) 1980-2017 - -100 | -90 | (N/A) 2500 1.6 2007-2018 = N/A | N/A | (12) 1980-2018 = N/A | N/A | (-4) 2500 1.6 Larus fuscus fuscus
Larus hyperboreus
0 3 N/A i estimate noChange 0.5 2006-2017 = 0 | 20 | (N/A) 1980-2017 = 0 | 20 | (N/A) keywintering
Larus marinus
1000
1500
N/A
p
estimate
genuine
3.3
2006-2017 - -28 | -24 | (N/A) 1980-2017 - -54 | -52 | (N/A) 7600 3.1 2007-2018 - N/A | N/A | (-51) 1980-2018 - N/A | N/A | (-16) 7600 3.1
Larus ridibundus
25000
35000
N/A
p
estimate
genuine
3.2
2006-2017 + 74 | 168 | (N/A) 1980-2017 - -50 | -40 | (N/A) # 24300 2.5 2007-2018 + 21 | 22 | (N/A) 1980-2018 = 11 | 13 | (N/A) 14000 1.4
Leiopicus medius
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
Limosa limosa limosa
500
700
N/A
p
estimate
knowledge
28.1
2006-2017 = 4 | 22 | (N/A) 1980-2017 - -97 | -75 | (N/A) # 11500 42.8 2007-2018 + 29 | 34 | (N/A) 1980-2018 = 1 | 9 | (N/A) 11500 42.6 Limosa limosa limosa (Eastern Europe/Central & Eastern Africa)
Linaria cannabina
30000
40000
N/A
p
estimate
genuine
0.2
2007-2018 - -58 | -44 | (N/A) 1983-2018 - -82 | -78 | (N/A) 47900 1.6 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-6) 19000 0.6
Locustella fluviatilis
30000
40000
N/A
p
estimate
genuine
15.4
2007-2018 - -68 | -54 | (N/A) 1983-2018 - -95 | -55 | (N/A) 44700 8.6 2007-2018 = 1 | 3 | (N/A) 1980-2018 + 26 | 32 | (N/A) 19700 3.9
Locustella luscinioides
5000
10000
N/A
p
estimate
noChange
2.5
2007-2018 + 30 | 300 | (N/A) 1980-2018 + 1200 | 1500 | (N/A) 8400 2.1 2007-2018 + 15 | 100 | (N/A) 1980-2018 + 96 | 2000 | (N/A) 8300 2.1
Locustella naevia
50000
70000
N/A
p
estimate
genuine
15.0
2007-2018 - -59 | -55 | (N/A) 1983-2018 - -111 | -92 | (N/A) 43200 3.8 2007-2018 = -2 | 0 | (N/A) 1980-2018 + 22 | 25 | (N/A) 19200 1.7
Lophophanes cristatus
50000
70000
N/A
p
estimate
genuine
1.2
2007-2018 - -69 | -43 | (N/A) 1983-2018 - -71 | -69 | (N/A) 40600 2.1 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-1) 14800 0.8
Loxia curvirostra
5000
75000
N/A
p
estimate
noChange
2.5
2006-2017 F -41 | 5 | (N/A) 1980-2017 F -51 | -16 | (N/A) 39400 2.5 2007-2018 = -3 | 0 | (N/A) 1980-2018 + 36 | 53 | (N/A) 9900 0.6
Loxia pytyopsittacus
500
1500
N/A
p
estimate
knowledge
0.6
2006-2017 = -10 | 10 | (N/A) 1980-2017 - -50 | -20 | (N/A) 8100 1.5 2007-2018 + N/A | N/A | (13) 1980-2018 - N/A | N/A | (-26) 2600 0.5
Lullula arborea
3000
6000
N/A
p
estimate
method
 #
0.2
2007-2018 - -39 | -12 | (N/A) 1983-2018 - -109 | -90 | (N/A) 41100 2.4 2007-2018 = 4 | 6 | (N/A) 1980-2018 = 8 | 9 | (N/A) 19400 1.1
Luscinia luscinia
60000
120000
N/A
p
estimate
genuine
14.5
2007-2018 - -67 | -65 | (N/A) 1983-2018 - -29 | -27 | (N/A) 53900 9.2 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 1 | 2 | (N/A) 26700 4.8
Lymnocryptes minimus
10
30
N/A
p
estimate
noInfo
 #
0.1
2006-2017 x N/A 1980-2017 x N/A 800 0.5 2007-2018 = N/A | N/A | (56) 1980-2018 - N/A | N/A | (-11) # 800 0.5
Lyrurus tetrix tetrix
4000
5000
N/A
cmales
estimate
genuine
2.3
2006-2017 - -49 | -14 | (N/A) 1980-2017 - -76 | -37 | (N/A) 38300 4.2 2007-2018 = N/A | N/A | (5) 1980-2018 - N/A | N/A | (-19) 22500 2.5 Lyrurus tetrix tetrix
Mareca penelope
50
80
N/A
p
estimate
genuine
0.1
2007-2018 - -51 | -18 | (N/A) 1980-2017 - -70 | -66 | (N/A) 3200 0.6 2007-2018 - -124 | -50 | (N/A) 1980-2018 = 0 | 1 | (N/A) 3200 0.6
Mareca strepera
2000
3000
N/A
p
estimate
noChange
3.8
2007-2018 + 105 | 109 | (N/A) 1980-2017 + 188 | 327 | (N/A) 14100 2.5 2007-2018 + 19 | 72 | (N/A) 1980-2018 + 83 | 464 | (N/A) 14100 2.5
Melanitta fusca
50
100
N/A
p
estimate
genuine
0.4
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -90 | -85 | (N/A) 2400 1.2 2007-2018 - N/A | N/A | (-29) 1980-2018 - N/A | N/A | (-74) 2000 10000 N/A i estimate genuine # 2.2 2006-2017 - -50 | -20 | (N/A) 1980-2017 - -50 | -20 | (N/A) keywintering 2400 1.2
Melanitta nigra s. str.
12000 240000 N/A i estimate knowledge # 7.5 2006-2017 = 0 | 20 | (N/A) 1980-2017 = 0 | 20 | (N/A) keywintering Melanitta nigra s. str. (sensu stricto [excluding americana])
Mergellus albellus
1000 3000 N/A i estimate noChange 5.1 2006-2017 + N/A | N/A | (50) 1980-2017 + 20 | 50 | (N/A) keywintering & I
Mergus merganser
2000
3000
N/A
p
estimate
knowledge
 #
3.1
2006-2017 - -35 | -24 | (N/A) 1980-2017 - -72 | -68 | (N/A) 32600 3.6 2007-2018 + 13 | 16 | (N/A) 1980-2018 + 36 | 52 | (N/A) # 5000 22000 N/A i estimate knowledge # 6.8 2006-2017 = 0 | 20 | (N/A) 1980-2017 + 20 | 50 | (N/A) keywintering 19400 2.2
Mergus serrator
300
500
N/A
p
estimate
genuine
0.7
2006-2017 = 41 | 80 | (N/A) 1980-2017 - -58 | 15 | (N/A) 7300 1.3 2007-2018 - N/A | N/A | (-31) 1980-2018 - N/A | N/A | (-40) 500 2500 N/A i estimate noChange 1.5 2006-2017 = 0 | 20 | (N/A) 1980-2017 + 20 | 50 | (N/A) keywintering 7300 1.3
Motacilla alba
150000
200000
N/A
p
estimate
noChange
2.1
2007-2018 = -14 | -13 | (N/A) 1983-2018 + -32 | 90 | (N/A) 57500 1.5 2007-2018 = 1 | 3 | (N/A) 1980-2018 = 3 | 5 | (N/A) 38900 1.0
Motacilla cinerea
3
10
N/A
p
estimate
knowledge
2006-2017 + 20 | 50 | (N/A) 1980-2017 + 20 | 50 | (N/A) 1700 2007-2018 + 85 | 650 | (N/A) 1980-2018 + 93 | 750 | (N/A) 1700
Motacilla citreola
100
150
N/A
p
estimate
genuine
19.3
2006-2017 + 112 | 559 | (N/A) 1980-2017 + N/A | N/A | (900) 2800 25.9 2007-2018 + N/A | N/A | (50) 1980-2018 + N/A | N/A | (100) 2800 25.9
Motacilla flava
3000
5000
N/A
p
estimate
genuine
 #
2007-2018 - -99 | -88 | (N/A) 1983-2018 - -128 | -92 | (N/A) 27200 1.4 2007-2018 = N/A | N/A | (2) 1980-2018 - N/A | N/A | (-45) 10900 0.6 Motacilla flava ([excluding tschutschensis])
Muscicapa striata
150000
250000
N/A
p
estimate
knowledge
3.2
2007-2018 = N/A 1983-2018 = N/A 52400 1.7 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (-3) 28400 0.9
Nucifraga caryocatactes
6000
12000
N/A
p
estimate
knowledge
4.2
2007-2018 = -62 | 67 | (N/A) 1983-2018 + 8 | 282 | (N/A) 31500 5.0 2007-2018 = 5 | 8 | (N/A) 1980-2018 + 11 | 13 | (N/A) 13400 2.2
Numenius arquata arquata
1000
2000
N/A
p
estimate
genuine
0.9
2007-2018 - -48 | -13 | (N/A) 1980-2017 - -54 | -53 | (N/A) 41200 4.7 2007-2018 = N/A | N/A | (8) 1980-2018 - N/A | N/A | (-14) 25300 2.9 Numenius arquata arquata
Numenius phaeopus
600
700
N/A
p
estimate
knowledge
1.1
2006-2017 = -18 | -2 | (N/A) 1980-2017 = -21 | 1 | (N/A) 6100 1.5 2007-2018 = 22 | 28 | (N/A) 1980-2018 + 36 | 37 | (N/A) 6000 1.5
Oenanthe oenanthe
15000
25000
N/A
p
estimate
genuine
0.7
2007-2018 - -47 | -27 | (N/A) 1983-2018 = -57 | -15 | (N/A) # 50900 2.8 2007-2018 = N/A | N/A | (1) 1980-2018 = N/A | N/A | (-3) 23200 1.3 Oenanthe oenanthe ([excluding seebohmi])
Oriolus oriolus
20000
30000
N/A
p
estimate
knowledge
0.8
2007-2018 = 6 | 10 | (N/A) 1983-2018 = 17 | 38 | (N/A) 47700 2.4 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-8) 24800 1.2
Pandion haliaetus
90
100
N/A
p
estimate
genuine
1.4
2006-2017 + 50 | 100 | (N/A) 1980-2017 + 50 | 100 | (N/A) 6900 1.1 2007-2018 + 23 | 42 | (N/A) 1980-2018 + 76 | 263 | (N/A) 6900 1.1
Panurus biarmicus
300
1000
N/A
p
estimate
knowledge
0.8
2006-2017 + 100 | 150 | (N/A) 1980-2017 + N/A | N/A | (9900) 6900 3.1 2007-2018 + 37 | 950 | (N/A) 1980-2018 + 97 | 3350 | (N/A) 3900 1.7
Parus major
300000
400000
N/A
p
estimate
noChange
0.6
2007-2018 = 21 | 34 | (N/A) 1983-2018 = -3 | 1 | (N/A) 55300 1.4 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 1 | 2 | (N/A) 36700 0.9
Passer domesticus s. str.
50000
80000
N/A
p
estimate
genuine
2007-2018 - -50 | -20 | (N/A) 1983-2018 - -248 | -85 | (N/A) 39100 1.2 2007-2018 = N/A | N/A | (-3) 1980-2018 - N/A | N/A | (-26) 12200 0.4 Passer domesticus s. str. (sensu stricto [excluding italiae])
Passer montanus
80000
110000
N/A
p
estimate
noChange
0.6
2007-2018 - -37 | -27 | (N/A) 1983-2018 - -127 | -90 | (N/A) 45400 1.7 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-2) 17800 0.7
Perdix perdix all others
2000
4000
N/A
p
estimate
noChange
0.3
2007-2018 - -50 | -20 | (N/A) 1980-2017 - -100 | -50 | (N/A) 35000 2.9 2007-2018 = -10 | 13 | (N/A) 1980-2018 - N/A | N/A | (-16) 21400 1.8 Perdix perdix all others
Periparus ater all others
15000
25000
N/A
p
estimate
noChange
0.1
2007-2018 = -109 | 87 | (N/A) 1983-2018 = -83 | 69 | (N/A) 30200 1.2 2007-2018 = 8 | 11 | (N/A) 1980-2018 = 7 | 9 | (N/A) 11900 0.5 Periparus ater all others
Pernis apivorus
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
Phalacrocorax carbo sinensis
15000
25000
N/A
p
estimate
genuine
8.1
2006-2017 + 68 | 72 | (N/A) 1980-2017 + 1398 | 18242 | (N/A) 3000 0.8 2007-2018 = -700 | 8 | (N/A) 1980-2018 + 98 | 2900 | (N/A) 300 1000 N/A i estimate genuine 0.1 2006-2017 + 20 | 50 | (N/A) 1980-2017 + N/A | N/A | (50) keywintering 3000 1.1 Phalacrocorax carbo sinensis
Phoenicurus ochruros
4000
8000
N/A
p
estimate
knowledge
0.1
2006-2017 = 0 | 15 | (N/A) 1980-2017 + -6 | 15 | (N/A) 32100 1.4 2007-2018 + 15 | 143 | (N/A) 1980-2018 + 92 | 1046 | (N/A) 16800 0.8
Phoenicurus phoenicurus
20000
30000
N/A
p
estimate
noChange
0.8
2007-2018 + -6 | 44 | (N/A) 1983-2018 + 92 | 210 | (N/A) 43400 1.8 2007-2018 = 3 | 5 | (N/A) 1980-2018 = 0 | 3 | (N/A) 21700 0.9
Phylloscopus collybita s. str.
500000
600000
N/A
p
estimate
noChange
2.1
2007-2018 = -26 | -17 | (N/A) 1983-2018 - -55 | -52 | (N/A) 55600 1.7 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 2 | 4 | (N/A) 35100 1.1 Phylloscopus collybita s. str. (sensu stricto [excluding canariensis, ibericus and tristis])
Phylloscopus sibilatrix
350000
450000
N/A
p
estimate
genuine
9.1
2007-2018 - -28 | -19 | (N/A) 1983-2018 - -55 | -50 | (N/A) 52700 2.8 2007-2018 = N/A | N/A | (-3) 1980-2018 = N/A | N/A | (-1) 28100 1.5
Phylloscopus trochiloides s. str.
7000
15000
N/A
p
estimate
knowledge
15.4
2007-2018 = N/A | N/A | (0) 2001-2018 + -12 | 60 | (N/A) 16300 11.2 2007-2018 + 28 | 38 | (N/A) 1980-2018 + 40 | 58 | (N/A) 16300 11.3 Phylloscopus trochiloides s. str. (sensu stricto [excluding nitidus and plumbeitarsus])
Phylloscopus trochilus
500000
600000
N/A
p
estimate
genuine
1.8
2007-2018 - -44 | -43 | (N/A) 1983-2018 - -55 | -52 | (N/A) 56500 2.5 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 2 | 4 | (N/A) 33600 1.5
Pica pica
10000
15000
N/A
p
estimate
genuine
0.1
2007-2018 - -35 | -27 | (N/A) 1983-2018 = -22 | -12 | (N/A) 50100 1.4 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (-5) 20100 0.6
Picoides tridactylus
2000
4000
N/A
p
estimate
genuine
4.6
2007-2018 - -92 | 5 | (N/A) 1980-2018 = N/A 22100 3.9 2007-2018 = 16 | 50 | (N/A) 1980-2018 + 77 | 309 | (N/A) 22000 3.8
Picus canus
3000
5000
N/A
p
estimate
noChange
3.6
2007-2018 = -26 | 49 | (N/A) 1980-2018 + 20 | 50 | (N/A) 33500 2.9 2007-2018 + 15 | 16 | (N/A) 1980-2018 + 24 | 28 | (N/A) 22800 2.0
Picus viridis s. str.
10
20
N/A
p
estimate
genuine
2006-2017 - -100 | -50 | (N/A) 1980-2017 - -100 | -50 | (N/A) 700 2007-2018 - N/A | N/A | (-66) 1980-2018 - N/A | N/A | (-97) 700 Picus viridis s. str. (sensu stricto [excluding sharpei])
Pluvialis apricaria
2500
3400
N/A
p
estimate
knowledge
1.1
2006-2017 = 1 | 8 | (N/A) 1980-2017 = 12 | 27 | (N/A) 13500 2.5 2007-2018 = 22 | 27 | (N/A) 1980-2018 - N/A | N/A | (-18) 13400 2.5
Podiceps auritus
150
250
N/A
p
estimate
genuine
4.0
2006-2017 - -34 | -1 | (N/A) 1980-2017 - -48 | -23 | (N/A) 9200 2.0 2007-2018 = N/A | N/A | (8) 1980-2018 - N/A | N/A | (-21) 9200 1.9
Podiceps cristatus
2000
3000
N/A
p
estimate
noChange
1.1
2006-2017 + 52 | 65 | (N/A) 1980-2017 - -50 | -20 | (N/A) 13400 1.0 2007-2018 = N/A | N/A | (-9) 1980-2018 - N/A | N/A | (-38) 13400 1.0
Podiceps grisegena
150
200
N/A
p
estimate
genuine
1.8
2006-2017 - -33 | -20 | (N/A) 1980-2017 - -57 | -49 | (N/A) 6600 1.9 2007-2018 = 12 | 18 | (N/A) 1980-2018 + 55 | 94 | (N/A) 6600 1.9
Poecile montanus
70000
100000
N/A
p
estimate
knowledge
3.2
2007-2018 = N/A 1980-2018 - -50 | -20 | (N/A) 49800 2.9 2007-2018 = -3 | 0 | (N/A) 1980-2018 = 8 | 9 | (N/A) 17100 1.0
Poecile palustris
40000
60000
N/A
p
estimate
genuine
1.2
2007-2018 - -94 | -61 | (N/A) 1983-2018 - -97 | -71 | (N/A) 47900 2.5 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (-6) 17400 0.9
Polysticta stelleri
800 1500 N/A i estimate genuine 98.2 2006-2017 - -50 | -20 | (N/A) 1980-2017 = -20 | 0 | (N/A) keywintering & I
Porzana porzana
1000
5000
N/A
cmales
estimate
genuine
21.7
2006-2017 - -50 | -45 | (N/A) 1980-2017 - -61 | 51 | (N/A) 12100 3.6 2007-2018 = N/A | N/A | (4) 1980-2018 - N/A | N/A | (-38) 12100 3.6
Prunella modularis
70000
150000
N/A
p
estimate
knowledge
1.1
2006-2017 = -19 | 1 | (N/A) 1980-2017 - -25 | -20 | (N/A) # 52200 2.1 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 14 | 15 | (N/A) 21700 0.9
Pyrrhula pyrrhula
70000
100000
N/A
p
estimate
genuine
3.0
2007-2018 - -42 | -37 | (N/A) 1983-2018 - -41 | -14 | (N/A) 49900 2.3 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 0 | 2 | (N/A) 19800 0.9
Rallus aquaticus
800
1500
N/A
p
estimate
knowledge
 #
0.8
2006-2017 = 29 | 48 | (N/A) 1980-2017 + 29 | 48 | (N/A) 10200 1.1 2007-2018 + 38 | 49 | (N/A) 1980-2018 + 40 | 52 | (N/A) 10200 1.1
Recurvirostra avosetta
150
250
N/A
p
estimate
knowledge
0.5
2006-2017 = 16 | 28 | (N/A) 1980-2017 + 45 | 82 | (N/A) 3800 2.3 2007-2018 + 11 | 25 | (N/A) 1980-2018 + 62 | 111 | (N/A) 3800 2.3
Regulus regulus
200000
300000
N/A
p
estimate
genuine
2.0
2007-2018 - -43 | -42 | (N/A) 1983-2018 - -78 | -72 | (N/A) 50700 2.2 2007-2018 = -3 | 0 | (N/A) 1980-2018 = 7 | 9 | (N/A) 21200 0.9
Remiz pendulinus
400
600
N/A
p
estimate
noChange
0.3
2006-2017 = -10 | 10 | (N/A) 1980-2017 + 50 | 100 | (N/A) 6800 1.6 2007-2018 + 58 | 292 | (N/A) 1980-2018 + 85 | 467 | (N/A) 6800 1.6
Riparia riparia
6000
9000
N/A
p
estimate
genuine
0.5
2006-2017 - -237 | -49 | (N/A) 1980-2017 - -65 | -40 | (N/A) 21400 1.4 2007-2018 = N/A | N/A | (13) 1980-2018 - N/A | N/A | (-42) 12500 0.8
Saxicola rubetra
150000
250000
N/A
p
estimate
genuine
6.5
2007-2018 - -39 | -23 | (N/A) 1983-2018 - -41 | 1 | (N/A) 53900 3.3 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 0 | 2 | (N/A) 29400 1.8
Scolopax rusticola
20000
40000
N/A
cmales
estimate
genuine
2.9
2006-2017 - -57 | -9 | (N/A) 1980-2017 - -77 | -55 | (N/A) 48100 3.4 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-5) 24400 1.7
Serinus serinus
150
300
N/A
p
estimate
knowledge
2006-2017 + 10 | 20 | (N/A) 1980-2017 + 20 | 50 | (N/A) 4700 0.2 2007-2018 + 42 | 47 | (N/A) 1980-2018 + 47 | 57 | (N/A) 4700 0.2
Sitta europaea
50000
70000
N/A
p
estimate
knowledge
0.7
2007-2018 = -11 | 26 | (N/A) 1983-2018 = -40 | -13 | (N/A) 43900 1.6 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 3 | 5 | (N/A) 24600 0.9
Somateria mollissima
1500
2500
N/A
p
estimate
genuine
0.9
2006-2017 - -29 | -28 | (N/A) 1980-2017 - -91 | -87 | (N/A) 6100 3.6 2007-2018 - N/A | N/A | (-24) 1980-2018 - N/A | N/A | (-20) 10 30 N/A i estimate genuine 2006-2017 - N/A | N/A | (-50) 1980-2017 = 0 | 20 | (N/A) keywintering 6100 3.5
Spatula clypeata
1000
1500
N/A
p
estimate
noChange
4.3
2007-2018 = -2 | 9 | (N/A) 1980-2017 - -34 | 4 | (N/A) 10400 2.1 2007-2018 - N/A | N/A | (-21) 1980-2018 - N/A | N/A | (-43) 10300 2.1
Spatula querquedula
800
1000
N/A
p
estimate
genuine
6.7
2007-2018 - -42 | -13 | (N/A) 1980-2017 - -35 | -22 | (N/A) 10700 3.1 2007-2018 = N/A | N/A | (-8) 1980-2018 - N/A | N/A | (-62) 10600 3.0
Spinus spinus
90000
130000
N/A
p
estimate
genuine
3.0
2007-2018 - -52 | -47 | (N/A) 1983-2018 - -65 | -63 | (N/A) 51700 3.2 2007-2018 = -4 | -2 | (N/A) 1980-2018 = 6 | 7 | (N/A) 17900 1.1
Sterna hirundo
5000
7000
N/A
p
estimate
knowledge
 #
3.7
2006-2017 + 159 | 196 | (N/A) 1980-2017 + 70 | 762 | (N/A) 30500 3.4 2007-2018 = 16 | 17 | (N/A) 1980-2018 = 22 | 24 | (N/A) 16700 1.9
Sterna paradisaea
9300
12000
N/A
p
estimate
genuine
5.2
2006-2017 + 70 | 78 | (N/A) 1980-2017 + 188 | 489 | (N/A) 9100 2.1 2007-2018 = -35 | 0 | (N/A) 1980-2018 = -27 | 0 | (N/A) 9100 2.1
Sternula albifrons
150
250
N/A
p
estimate
noChange
1.3
2006-2017 = 25 | 44 | (N/A) 1980-2017 - -37 | 11 | (N/A) 5600 5.3 2007-2018 - N/A | N/A | (-26) 1980-2018 - N/A | N/A | (-33) 5600 5.3
Streptopelia decaocto
100
150
N/A
p
estimate
noInfo
2006-2017 + 20 | 50 | (N/A) 1980-2017 - -100 | -50 | (N/A) 11000 0.4 2007-2018 = N/A | N/A | (10) 1980-2018 - N/A | N/A | (-58) 5100 0.2
Streptopelia turtur
350
700
N/A
p
estimate
genuine
 #
2007-2018 - -92 | -70 | (N/A) 1983-2018 - -93 | -85 | (N/A) 27300 1.4 2007-2018 = N/A | N/A | (5) 1980-2018 - N/A | N/A | (-42) 11100 0.6
Strix aluco
1500
2000
N/A
p
estimate
knowledge
0.3
2007-2018 = -38 | 6 | (N/A) 1987-2018 = -101 | 149 | (N/A) 34000 1.4 2007-2018 = N/A | N/A | (5) 1980-2018 - N/A | N/A | (-26) 18800 0.8
Strix nebulosa
0
3
N/A
p
estimate
noChange
 #
0.1
2006-2017 = N/A 1980-2017 = N/A 700 0.3 2007-2018 + 82 | 400 | (N/A) 1980-2018 + 94 | 600 | (N/A) 700 0.3
Strix uralensis
1000
1500
N/A
p
estimate
noChange
3.4
2007-2018 = -37 | 2 | (N/A) 1987-2018 = -98 | 6 | (N/A) 32800 5.2 2007-2018 = 8 | 11 | (N/A) 1980-2018 + 50 | 93 | (N/A) 20000 3.2
Sturnus vulgaris
200000
250000
N/A
p
estimate
knowledge
0.9
2007-2018 = -22 | -17 | (N/A) 1983-2018 = -3 | 14 | (N/A) # 52500 1.7 2007-2018 = N/A | N/A | (-3) 1980-2018 = N/A | N/A | (-5) 28900 0.9
Sylvia atricapilla
300000
500000
N/A
p
estimate
noChange
0.9
2007-2018 = 2 | 9 | (N/A) 1983-2018 + 26 | 39 | (N/A) 54100 1.5 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 7 | 9 | (N/A) 25200 0.7
Sylvia borin
400000
600000
N/A
p
estimate
genuine
7.4
2007-2018 - -31 | -21 | (N/A) 1983-2018 = 0 | 6 | (N/A) 54600 2.4 2007-2018 = -3 | -1 | (N/A) 1980-2018 = 1 | 3 | (N/A) 27400 1.2
Sylvia communis
300000
500000
N/A
p
estimate
genuine
3.3
2007-2018 - -46 | -45 | (N/A) 1983-2018 = -20 | 10 | (N/A) 56600 2.0 2007-2018 = 0 | 2 | (N/A) 1980-2018 = 6 | 7 | (N/A) 32500 1.1
Sylvia curruca
80000
120000
N/A
p
estimate
genuine
2.8
2007-2018 - -44 | -25 | (N/A) 1984-2018 = -22 | 44 | (0) 54600 2.4 2007-2018 = -2 | 0 | (N/A) 1980-2018 = 7 | 8 | (N/A) 26600 1.2 Sylvia curruca ([including minula])
Sylvia nisoria
2000
4000
N/A
p
estimate
genuine
0.7
2007-2018 - -89 | -29 | (N/A) 1983-2018 - -89 | -50 | (N/A) 22200 4.5 2007-2018 + N/A | N/A | (13) 1980-2018 - N/A | N/A | (-13) 11600 2.4
Tachybaptus ruficollis
20
40
N/A
p
estimate
noChange
2006-2017 = N/A 1980-2017 + 20 | 50 | (N/A) 2100 0.1 2007-2018 + 48 | 167 | (N/A) 1980-2018 + 90 | 600 | (N/A) 2100 0.1
Tadorna tadorna
400
500
N/A
p
estimate
genuine
1.1
2006-2017 - -28 | -22 | (N/A) 1980-2017 - -81 | -74 | (N/A) 10300 2.2 2007-2018 - N/A | N/A | (-48) 1980-2018 - N/A | N/A | (-11) 10200 2.1
Tetrao urogallus all others
1300
1600
N/A
cmales
estimate
knowledge
0.4
2006-2017 - -15 | -11 | (N/A) 1980-2017 - -47 | -41 | (N/A) 18600 2.3 2007-2018 = N/A | N/A | (8) 1980-2018 - N/A | N/A | (-22) 18400 2.3 Tetrao urogallus all others
Thalasseus sandvicensis
800
1100
N/A
p
estimate
knowledge
1.5
2006-2017 = -8 | 37 | (N/A) 1980-2017 + 34 | 106 | (N/A) 2500 10.0 2007-2018 = -6 | 26 | (N/A) 1980-2018 + 47 | 51 | (N/A) 2500 8.8
Tringa glareola
2000
3000
N/A
p
estimate
knowledge
0.5
2006-2017 = -2 | 4 | (N/A) 1980-2017 = -1 | 13 | (N/A) 12900 2.2 2007-2018 + N/A | N/A | (19) 1980-2018 - N/A | N/A | (-16) 12800 2.1
Tringa nebularia
300
400
N/A
p
estimate
knowledge
0.4
2006-2017 = -8 | 5 | (N/A) 1980-2017 + 2600 | 2900 | (N/A) # 5900 1.2 2007-2018 + 43 | 143 | (N/A) 1980-2018 + 80 | 321 | (N/A) 5800 1.2
Tringa ochropus
10000
20000
N/A
p
estimate
knowledge
5.5
2007-2018 = N/A 1983-2018 = N/A 46100 5.1 2007-2018 = 0 | 3 | (N/A) 1980-2018 = N/A | N/A | (0) 27100 3.1
Tringa stagnatilis
5
20
N/A
p
estimate
noChange
17.0
2006-2017 = 0 | 10 | (N/A) 1980-2017 + N/A | N/A | (10) 1800 36.7 2007-2018 + 75 | 1100 | (N/A) 1980-2018 + 96 | 1700 | (N/A) 1800 36.7
Tringa totanus
2500
3500
N/A
p
estimate
knowledge
2.9
2006-2017 = -6 | 6 | (N/A) 1980-2017 - -38 | -29 | (N/A) # 28100 3.8 2007-2018 = N/A | N/A | (18) 1980-2018 = N/A | N/A | (-5) # 19600 2.6
Troglodytes troglodytes all others
250000
300000
N/A
p
estimate
noChange
0.9
2007-2018 = 13 | 31 | (N/A) 1983-2018 + 22 | 36 | (N/A) 51600 1.5 2007-2018 = -3 | -1 | (N/A) 1980-2018 = 4 | 6 | (N/A) 25000 0.7 Troglodytes troglodytes all others
Turdus iliacus
40000
60000
N/A
p
estimate
genuine
2.3
2007-2018 - -70 | -52 | (N/A) 1983-2018 - -82 | -74 | (N/A) 51400 5.7 2007-2018 = N/A 1980-2018 = N/A | N/A | (-5) 22300 2.6
Turdus merula
300000
400000
N/A
p
estimate
noChange
0.6
2007-2018 + 30 | 38 | (N/A) 1983-2018 + 37 | 55 | (N/A) 56100 1.4 2007-2018 = 1 | 2 | (N/A) 1980-2018 = 2 | 4 | (N/A) 35900 0.9
Turdus philomelos
300000
400000
N/A
p
estimate
knowledge
2.1
2007-2018 = 0 | 1 | (N/A) 1983-2018 = -13 | 10 | (N/A) 54600 1.6 2007-2018 = N/A | N/A | (-1) 1980-2018 = N/A | N/A | (0) 29900 0.9
Turdus pilaris
80000
150000
N/A
p
estimate
genuine
2.5
2007-2018 - N/A | N/A | (-23) 1983-2018 - -22 | -20 | (N/A) 50600 3.2 2007-2018 = N/A | N/A | (-2) 1980-2018 = N/A | N/A | (-6) 25200 1.6
Turdus viscivorus
15000
25000
N/A
p
estimate
knowledge
0.6
2006-2017 = -7 | 31 | (N/A) 1980-2017 + 49 | 85 | (N/A) 41600 1.1 2007-2018 = 5 | 7 | (N/A) 1980-2018 + 12 | 13 | (N/A) 21500 0.7
Upupa epops
5
20
N/A
p
estimate
noChange
2006-2017 = -10 | 10 | (N/A) 1980-2017 = -10 | 10 | (N/A) 3300 0.2 2007-2018 = N/A | N/A | (5) 1980-2018 - N/A | N/A | (-64) 3200 0.2
Vanellus vanellus
40000
50000
N/A
p
estimate
knowledge
 #
4.7
2007-2018 + 64 | 88 | (N/A) 1983-2018 + 316 | 560 | (N/A) 52600 2.9 2007-2018 = N/A | N/A | (1) 1980-2018 = N/A | N/A | (-5) 34700 1.9
Zapornia parva
40
100
N/A
cmales
estimate
noChange
0.2
2006-2017 = -9 | -5 | (N/A) 1980-2017 - N/A | N/A | (-30) 2800 4.3 2007-2018 + 71 | 340 | (N/A) 1980-2018 + 87 | 460 | (N/A) 2800 4.1