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Journal Article

Studying dispersal at the landscape scale: efficient combination of population surveys and capture–recapture data

Guillaume Péron; Pierre-André Crochet; Paul F. Doherty; Jean-Dominique Lebreton
Ecology · Vol. 91, Issue 11 · pp. 3365-3375 · 2010

Abstract

Researchers often rely on capture–mark–recapture (CMR) data to study animal dispersal in the wild. Yet their spatial coverage often does not encompass the entire dispersal range of the study individuals, sometimes producing misleading results. Information contained in population surveys and variation in population spatial structure can be used to overcome this issue. We build an integrated model in a multisite context in which CMR data are only collected at a subset of sites, but numbers of breeding pairs are counted at all sites. In a Black‐headed Gull Chroicocephalus ridibundus population, the integrated‐modeling approach induces an increase in precision for the demographic parameters of interest (variances, on average, were decreased by 20%) and provides a more precise extrapolation of results from the CMR data to the whole population. Patterns of condition‐dependent dispersal are therefore made easier to detect, and we obtain evidence for colony‐size dependence in recruitment, dispersal, and breeding success. These results suggest that first‐time breeders disperse to small colonies in order to recruit earlier. The exchange of experienced breeders between colonies appears as a main determinant of the observed variation in colony sizes.

Bibliographic Information

JournalEcology
PublisherWiley
Publication Date2010-11-01
Publication Year2010
Volume91
Issue11
Pages3365-3375
Document TypeJournal Article
Print ISSN0012-9658
eISSN1939-9170
DOI10.1890/09-1525.1
SubjectEcology & Organismal Biology

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://esajournals.onlinelibrary.wiley.com/loi/19399170
Publisher PageOpen Publisher Page
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