A differential game theoretical analysis of mechanistic models for territoriality.

J Math Biol

Centre for Mathematical Biology, Mathematical and Statistical Sciences, University of Alberta, 632 Central Academic Building, Edmonton, AB, T6G 2G1, Canada.

Published: November 2010

AI Article Synopsis

  • The paper uses differential game theory to study how wolf packs interact in a model that takes their uncertain movement behavior into account.
  • It involves a system of partial differential equations that reflect individual movement and determines how packs use their space effectively.
  • The findings suggest that when movement is uncertain, wolf packs establish a buffer zone where deer can escape, representing an evolutionarily stable way to balance territorial expansion and avoiding conflicts.

Article Abstract

In this paper, elements of differential game theory are used to analyze a spatially explicit home range model for interacting wolf packs when movement behavior is uncertain. The model consists of a system of partial differential equations whose parameters reflect the movement behavior of individuals within each pack and whose steady-state solutions describe the patterns of space-use associated to each pack. By controlling the behavioral parameters in a spatially-dynamic fashion, packs adjust their patterns of movement so as to find a Nash-optimal balance between spreading their territory and avoiding conflict with hostile neighbors. On the mathematical side, we show that solving a nonzero-sum differential game corresponds to finding a non-invasible function-valued trait. From the ecological standpoint, when movement behavior is uncertain, the resulting evolutionarily stable equilibrium gives rise to a buffer-zone, or a no-wolf's land where deer are known to find refuge.

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Source
http://dx.doi.org/10.1007/s00285-009-0316-1DOI Listing

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