Environmental and Ecological Statistics manuscript No.
(will be inserted by the editor)
Electronic Supplementary Material on the article
"Modeling carcass removal time for avian mortality
assessment in wind farms using survival analysis"
Regina Bispo · Joana Bernardino ·
Tiago A. Marques · Dinis Pestana
Received: date / Accepted: date
R. Bispo
Departamento de Estatística, ISPA - Instituto Universitário, Rua Jardim do Tabaco, 34,
1149-041 Lisboa, Portugal and CEAUL - Centro de Estatística e Aplicações da Universidade de Lisboa, Portugal, Phone: +351 218 811 700, Fax: +351 218 860 954, E-mail:
[email protected]
J. Bernardino
Bio3 - Estudos e Projectos em Biologia e Valorização de Recursos Naturais, Rua D. Francisco Xavier de Noronha, 37B, 2800-092 Almada, Portugal
T. A. Marques
Centre for Research into Ecological and Environmental Modeling, The Observatory, University of St Andrews, St Andrews KY16 9LZ, Scotland UK and CEAUL - Centro de Estatística
e Aplicações da Universidade de Lisboa, Portugal
D. Pestana
Departamento de Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Lisboa, Portugal and CEAUL - Centro de Estatística e
Aplicações da Universidade de Lisboa, Portugal
2
Table 1 Final fitted parametric survival models. xi and yi are the values of the explanatory
variables Season (X) and Size (Y). For sites where trials included three carcass size categories,
y1i and y2i are the values of the dummy variables Y1 and Y2 with values (0,0) for the small
carcass size, (0,1) for the medium carcass size and (1,0) for the large carcass size
Wind farm
Distribution
WF1
Log-normal
Ŝ(t)=1 − Φ
WF2
Log-logistic
Ŝ(t)= 1 + (0.284t)1.846
WF3
Log-normal
Ŝ(t)=1 − Φ
WF4
Log-normal
Ŝ(t)=1 − Φ
WF5
Log-logistic
Ŝ(t)= 1 + (0.426t)1.850
WF6
Log-normal
Ŝ(t)=1 − Φ
WF7
Log-normal
Ŝ(t)=1 − Φ
WF8
Weibull
Ŝ(t)=exp
WF9
Weibull
Ŝ(t)=exp
WF10
Log-logistic
Survival model
log t−1.368
0.943
log t−2.272
1.429
log t−0.937
0.719
log t−1.466
0.982
−1
−1
log t−1.754+0.808xi
1.100
− exp
log t−1.010−1.330xi
0.580
log t−1.785−0.518xi +1.028y1i +0.734y2i
0.607
−1
log t−1.733+1.503xi −1.103yi
0.426
− exp
Ŝ(t)= 1 + exp