Inter-individual variability in dispersal behaviours impacts connectivity estimates

Stephen C. F. Palmer*, Aurelie Coulon, Justin M. J. Travis

*Corresponding author for this work

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The importance of landscape connectivity in determining biodiversity outcomes under environmental change has led to indices of connectivity becoming amongst the most widely used measures in conservation. Thus, it is vital that our understanding of connectivity and our use of indices describing it are reliable. Dispersal is the key ecological process involved in determining connectivity, and there is increasing evidence of substantial within-population variability in dispersal behaviours. Here, we incorporate this inter-individual variability into two approaches for estimating connectivity, least cost path analysis and stochastic movement simulation. Illustrative results demonstrate that including dispersal variability can yield substantially different estimates of connectivity. While connectivity is typically similar between nearby patches, the frequency of movements between patches further apart is often substantially increased when inter-individual variability is included. Given the disproportionate role that unusual long-distance dispersal events play in spatial dynamics, connectivity indices should seek to incorporate variability in dispersal behaviour.

Original languageEnglish
Pages (from-to)923-932
Number of pages10
JournalOikos
Volume123
Issue number8
Early online date12 Mar 2014
DOIs
Publication statusPublished - Aug 2014

Keywords

  • spatially structured populations
  • habitat fragmentation
  • animal dispersal
  • gene flow
  • matrix heterogeneity
  • individual behavior
  • movement behavior
  • climate-change
  • random-walks
  • metapopulation

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