How Landscape Heterogeneity Frames Optimal Diffusivity in Searching Processes e1002233
Theoretical and empirical investigations of search strategies typically have failed to distinguish the distinct roles played by density versus patchiness of resources. It is well known that motility and diffusivity of organisms often increase in environments with low density of resources, but thus f...
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Published in | PLoS computational biology Vol. 7; no. 11 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
San Francisco
Public Library of Science
01.11.2011
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Subjects | |
Online Access | Get full text |
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Summary: | Theoretical and empirical investigations of search strategies typically have failed to distinguish the distinct roles played by density versus patchiness of resources. It is well known that motility and diffusivity of organisms often increase in environments with low density of resources, but thus far there has been little progress in understanding the specific role of landscape heterogeneity and disorder on random, non-oriented motility. Here we address the general question of how the landscape heterogeneity affects the efficiency of encounter interactions under global constant density of scarce resources. We unveil the key mechanism coupling the landscape structure with optimal search diffusivity. In particular, our main result leads to an empirically testable prediction: enhanced diffusivity (including superdiffusive searches), with shift in the diffusion exponent, favors the success of target encounters in heterogeneous landscapes. |
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ISSN: | 1553-734X 1553-7358 |
DOI: | 10.1371/journal.pcbi.1002233 |