Literature DB >> 26860659

On the evolution of patch-type dependent immigration.

Mats Gyllenberg1, Éva Kisdi2, Helene C Weigang3.   

Abstract

Empirical studies of dispersal indicate that decisions to immigrate are patch-type dependent; yet theoretical models usually ignore this fact. Here, we investigate the evolution of patch-type dependent immigration of a population inhabiting and dispersing in a heterogeneous landscape, which is structured by patches of low and high reward. We model the decision to immigrate in detail from a mechanistic underpinning. With the methods of adaptive dynamics, we derive both analytical and numerical results for the evolution of immigration when life-history traits are patch-type dependent. The model exhibits evolutionary branching in a wide parameter range and the subsequent coevolution can lead to a stable coexistence of a generalist, settling in patches of any type, and a specialist that only immigrates into patches of high reward. We find that individuals always settle in the patches of high reward, in which survival until maturation, relative fecundity and emigration probability are high. We investigate how the probability to immigrate into patches of low reward changes with model parameters. For example, we show that immigration into patches of low reward increases when the emigration probability in these patches increases. Further, immigration into patches of low reward decreases when the patches of high reward become less safe during the dispersal season.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Adaptive dynamics; Dispersal; Generalist-specialist; Kin competition; Settlement

Mesh:

Year:  2016        PMID: 26860659     DOI: 10.1016/j.jtbi.2016.01.042

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  1 in total

1.  Why we should care about movements: Using spatially explicit integrated population models to assess habitat source-sink dynamics.

Authors:  Matthieu Paquet; Debora Arlt; Jonas Knape; Matthew Low; Pär Forslund; Tomas Pärt
Journal:  J Anim Ecol       Date:  2020-10-20       Impact factor: 5.606

  1 in total

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