Correcting bias in survival probabilities for partially monitored populations via integrated models

Blanca Sarzo, Ruth King, David Conesa, Jonas Hentati-Sundberg

Research output: Contribution to journalArticlepeer-review

Abstract

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 reduces 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.
Original languageEnglish
Number of pages32
JournalJournal of Agricultural, Biological, and Environmental Statistics
Publication statusAccepted/In press - 29 Oct 2020

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