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Sensory Information and Encounter Rates of Interacting Species

Overview of attention for article published in PLoS Computational Biology, August 2013
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Title
Sensory Information and Encounter Rates of Interacting Species
Published in
PLoS Computational Biology, August 2013
DOI 10.1371/journal.pcbi.1003178
Pubmed ID
Authors

Andrew M. Hein, Scott A. McKinley

Abstract

Most motile organisms use sensory cues when searching for resources, mates, or prey. The searcher measures sensory data and adjusts its search behavior based on those data. Yet, classical models of species encounter rates assume that searchers move independently of their targets. This assumption leads to the familiar mass action-like encounter rate kinetics typically used in modeling species interactions. Here we show that this common approach can mischaracterize encounter rate kinetics if searchers use sensory information to search actively for targets. We use the example of predator-prey interactions to illustrate that predators capable of long-distance directional sensing can encounter prey at a rate proportional to prey density to the [Formula: see text] power (where [Formula: see text] is the dimension of the environment) when prey density is low. Similar anomalous encounter rate functions emerge even when predators pursue prey using only noisy, directionless signals. Thus, in both the high-information extreme of long-distance directional sensing, and the low-information extreme of noisy non-directional sensing, encounter rate kinetics differ qualitatively from those derived by classic theory of species interactions. Using a standard model of predator-prey population dynamics, we show that the new encounter rate kinetics derived here can change the outcome of species interactions. Our results demonstrate how the use of sensory information can alter the rates and outcomes of physical interactions in biological systems.

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The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Spain 2 4%
United States 1 2%
Brazil 1 2%
Unknown 50 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Student > Master 7 13%
Researcher 6 11%
Professor > Associate Professor 5 9%
Student > Postgraduate 4 7%
Other 11 20%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 48%
Environmental Science 8 14%
Mathematics 4 7%
Physics and Astronomy 3 5%
Neuroscience 2 4%
Other 3 5%
Unknown 9 16%