Adaptive patch searching strategies in fragmented landscapes

Authored by E Strand, SK Heinz

Date Published: 2006

DOI: 10.1007/s10682-005-5378-y

Sponsors: European Union Norwegian Research Council (NRF)

Platforms: C++

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

The search strategies dispersers employ to search for new habitat patches affect individuals' search success and subsequently landscape connectivity and metapopulation viability. Some evidence indicates that individuals within the same species may display a variety of behavioural patch searching strategies rather than one species-specific strategy. This may result from landscape heterogeneity. We modelled the evolution of individual patch searching strategies in different landscapes. Specifically, we analysed whether evolution can favour different, co-existing, behavioural search strategies within one population and to what extent this coexistence of multiple strategies was dependent on landscape configuration. Using an individual-based simulation model, we studied the evolution of patch searching strategies in three different landscape configurations: uniform, random and clumped. We found that landscape configuration strongly influenced the evolved search strategy. In uniform landscapes, one fixed search strategy evolved for the entire spatially structured population, while in random and clumped landscapes, a set of different search strategies emerged. The coexistence of several search strategies also strongly depended on the dispersal mortality. We show that our result can affect landscape connectivity and metapopulation dynamics.

Tags

sympatric speciation Foraging behavior Metapopulation models Dispersal behavior Systematic search Level perceptual abilities Heterogeneous environments Movement patterns Soil insect C-elegans