Conradt, L, Zollner, P A, Roper, T J et al. (2 more authors) (2003) Foray search: An effective systematic dispersal strategy in fragmented landscapes. The American Naturalist. pp. 905-915. ISSN 1537-5323
Abstract
In the absence of evidence to the contrary, population models generally assume that the dispersal trajectories of animals are random, but systematic dispersal could be more efficient at detecting new habitat and may therefore constitute a more realistic assumption. Here, we investigate, by means of simulations, the properties of a potentially widespread systematic dispersal strategy termed "foray search." Foray search was more efficient in detecting suitable habitat than was random dispersal in most landscapes and was less subject to energetic constraints. However, it also resulted in considerably shorter net dispersed distances and higher mortality per net dispersed distance than did random dispersal, and it would therefore be likely to lead to lower dispersal rates toward the margins of population networks. Consequently, the use of foray search by dispersers could crucially affect the extinction-colonization balance of metapopulations and the evolution of dispersal rates. We conclude that population models need to take the dispersal trajectories of individuals into account in order to make reliable predictions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2003 by The University of Chicago. Added in accordance with the publisher's self-archiving policy. |
Keywords: | colonization dynamics,dispersal behavior,dispersal patterns,habitat fragmentation,metapopulation ecology,METAPOPULATION DYNAMICS,POPULATION-DYNAMICS,BEHAVIOR,ECOLOGY,CONSEQUENCES,INDIVIDUALS,MIGRATION,SQUIRRELS,MOVEMENTS,LARVAE |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Repository Officer |
Date Deposited: | 15 Jun 2006 |
Last Modified: | 02 Apr 2025 23:04 |
Status: | Published |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:1293 |