Authors: J David Logan
Publish Date: 2007/09/25
Volume: 70, Issue: 1, Pages: 1-
Abstract
Studies document the fact that temperature changes strongly affect interactions in many consumerresource systems through altered or shifted phenologies The mistiming of events such as migration or emergence times or the contraction or expansion of development times can upset the normal synchronization and lead to increased or decreased predation events In this paper we formulate a continuous time phenologicallystructured model of predatorprey interactions that is driven by temperature variations It is particularly applicable to arthropod interactions because their development rates are so strongly temperature related The model takes the form of a system of partial differentialintegral equations for the species’ population densities in developmenttime variables In special cases the model is analytically tractable and we find a closedform solution By calculating density variations under different temperature regimes the model gives a quantitative method for assessing the effects of global temperature change on consumerresource interactions
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