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Updated: May 3, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Prospecting and dispersal: their eco-evolutionary dynamics and implications for population patterns
M M Delgado1, K A Bartoń, D Bonte
1Metapopulation Research Group, Department of Biosciences, University of Helsinki, , 00014, Finland, Department of Conservation Biology, Estación Biológica de Doñana, , C.S.I.C., c/ Americo Vespucio s/n, 41092 Seville, Spain, Institute of Biological and Environmental Sciences, University of Aberdeen, , Zoology Building, Aberdeen AB24 2TZ, UK, Field Station Fabrikschleichach, Biozentrum, University of Würzburg, , Glashüttenstrasse 5, 96181 Rauhenebrach, Germany, Terrestrial Ecology Unit, Department of Biology, Ghent University, , K.L. Ledeganckstraat 35, 9000 Gent, Belgium.
Abstract:
Dispersal is not a blind process, and evidence is accumulating that individual dispersal strategies are informed in most, if not all, organisms. The acquisition and use of information are traits that may evolve across space and time as a function of the balance between costs and benefits of informed dispersal. If information is available, individuals can potentially use it in making better decisions, thereby increasing their fitness. However, prospecting for and using information probably entail costs that may constrain the evolution of informed dispersal, potentially with population-level consequences. By using individual-based, spatially explicit simulations, we detected clear coevolutionary dynamics between prospecting and dispersal movement strategies that differed in sign and magnitude depending on their respective costs. More specifically, we found that informed dispersal strategies evolve when the costs of information acquisition during prospecting are low but only if there are mortality costs associated with dispersal movements. That is, selection favours informed dispersal strategies when the acquisition and use processes themselves were not too expensive. When non-informed dispersal strategies evolve, they do so jointly with the evolution of long dispersal distance because this maximizes the sampling area. In some cases, selection produces dispersal rules different from those that would be 'optimal' (i.e. the best possible population performance--in our context quantitatively measured as population density and patch occupancy--among all possible individual movement rules) for the population. That is, on the one hand, informed dispersal strategies led to population performance below its highest possible level. On the other hand, un- and poorly informed individuals nearly optimized population performance, both in terms of density and patch occupancy.
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