Multi-Site Integrated Population Modelling |
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| Authors: | R S McCrea B J T Morgan O Gimenez P Besbeas J-D Lebreton T Bregnballe |
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| Institution: | 1.National Centre for Statistical Ecology, School of Mathematics, Statistics and Actuarial Science,University of Kent,Canterbury,England;2.School of Mathematics, Statistics and Actuarial Science,University of Kent,Canterbury,England;3.Centre National de la Recherche, Centre d’Ecologie Fonctionnelle et Evolutive,UMR 5175,Montpellier,France;4.National Centre for Statistical Ecology,University of Kent,Canterbury,England;5.Athens University of Economics and Business,Athens,Greece;6.Department of Wildlife Ecology and Biodiversity, National Environmental Research Institute,Aarhus University,R?nde,Denmark |
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| Abstract: | We examine the performance of a method of integrated population modelling for the joint analysis of different types of demographic
data on individuals that exist in, and move between, different sites. The value of the approach is demonstrated by a simulation
study which shows substantial improvement in parameter estimation when site-specific census data are combined with demographic
data. The multivariate normal approximation to a multi-state mark-recapture likelihood is evaluated, and the performance of
a diagonal variance-covariance matrix for the approximation is also examined. The work is motivated by a study of great cormorants.
Analysis of the cormorant data suggests that breeders survive better than non-breeders, and also that probabilities of recruitment
to breeding have been declining over time for all the colonies of the study. Supplementary material, including notes on the
computation of standard errors and extended simulation results, are available online. |
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