Literature DB >> 19886498

Assessing the effect on survival of natal dispersal using multistate capture-recapture models.

Sébastien Devillard1, Yves Bray.   

Abstract

Despite their crucial importance in understanding and modeling of the evolution of natal dispersal, it is still difficult to reliably estimate the costs of natal dispersal. We have developed a multistate capture-recapture model, mixing telemetry and recoveries, to simultaneously estimate natal dispersal probability, survival probability of dispersers vs. philopatric individuals, and the proportions of individuals dying from different causes. By applying this model to the European hare (Lepus europaeus), we show that dispersing juveniles suffer from a considerably higher mortality rate during their first post-weaning year compared to philopatric juveniles, due to both hunters and predators. We emphasize the usefulness and reliability of our model in the broader context of studies of natal dispersal costs, as well as the evolutionary and management implications of such a dispersal cost in declining European hare populations.

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Year:  2009        PMID: 19886498     DOI: 10.1890/08-0559.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  3 in total

1.  Comparing demographic parameters for philopatric and immigrant individuals in a long-lived bird adapted to unstable habitats.

Authors:  Daniel Oro; Giacomo Tavecchia; Meritxell Genovart
Journal:  Oecologia       Date:  2010-09-15       Impact factor: 3.225

2.  Early-life experience shapes patterns of senescence in a food-caching passerine.

Authors:  Marjorie C Sorensen; Dan Strickland; Nikole E Freeman; Matthew Fuirst; Alex O Sutton; D Ryan Norris
Journal:  Biol Lett       Date:  2022-01-26       Impact factor: 3.703

3.  Exploration forays in juvenile European hares (Lepus europaeus): dispersal preludes or hunting-induced troubles?

Authors:  Alexis Avril; Jérôme Letty; Yves Léonard; Dominique Pontier
Journal:  BMC Ecol       Date:  2014-02-26       Impact factor: 2.964

  3 in total

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