Correcting Bias in Survival Probabilities for Partially Monitored Populations via Integrated Models
Por:
Sarzo, B, King, R, Conesa, D and Hentati-Sundberg, J
Publicada:
1 jun 2021
Ahead of Print:
1 ene 2021
Resumen:
We provide an integrated capture-recapture-recovery framework for partially monitored populations. In these studies, live resightings are only observable at a set of monitored locations, so that if an individual leaves these specific locations, they become unavailable for capture. Additional ring-recovery data reduce the corresponding bias obtained in the survival probability estimates from capture-recapture data due to the confounding with colony dispersal. We derive an explicit efficient likelihood expression for the integrated capture-recapture-recovery data, and state the associated sufficient statistics. We demonstrate the significant improvements in the estimation of the survival probabilities using the integrated approach for a colony of guillemots (Uria aalge), where we additionally specify a hierarchical approach to deal with low sample size over the early period of the study.
Supplementary materials accompanying this paper appear online.
Filiaciones:
:
Univ Valencia, Fdn Promot Hlth & Biomed Res Valencia Reg FISABIO, Valencia, Spain
Univ Valencia, Dept Stat & OR, Valencia, Spain
King, R:
Univ Edinburgh, Sch Math, Edinburgh, Midlothian, Scotland
Conesa, D:
Univ Valencia, Dept Stat & OR, Valencia, Spain
Hentati-Sundberg, J:
Swedish Univ Agr Sci, Dept Aquat Resources, Lysekil, Sweden
Green Accepted, Green Published
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