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   [38][PDF] yale.edu

[39]A mechanistic approach for modeling temperature-dependent consumer-resource
dynamics

   [40]DA Vasseur, [41]KS McCann - The American Naturalist, 2005 -
   journals.uchicago.edu
   [42]DA Vasseur, [43]KS McCann
   The American Naturalist, 2005 o journals.uchicago.edu
   Paramount to our ability to manage and protect biological communities from
   impending
   changes in the environment is an understanding of how communities will respond.
   General
   mathematical models of community dynamics are often too simplistic to accurately
   describe
   this response, partly to retain mathematical tractability and partly for the lack
   of biologically
   pleasing functions representing the model/environment interface. We address these
   problems of tractability and plausibility in community/environment models by
   incorporating ...
   Abstract
   Paramount to our ability to manage and protect biological communities from
   impending changes in the environment is an understanding of how communities will
   respond. General mathematical models of community dynamics are often too
   simplistic to accurately describe this response, partly to retain mathematical
   tractability and partly for the lack of biologically pleasing functions
   representing the model/environment interface. We address these problems of
   tractability and plausibility in community/environment models by incorporating
   the Boltzmann factor (temperature dependence) in a bioenergetic consumer-resource
   framework. Our analysis leads to three predictions for the response of
   consumer-resource systems to increasing mean temperature (warming). First,
   mathematical extinctions do not occur with warming; however, stable systems may
   transition into an unstable (cycling) state. Second, there is a decrease in the
   biomass density of resources with warming. The biomass density of consumers may
   increase or decrease depending on their proximity to the feasibility (extinction)
   boundary. Third, consumer biomass density is more sensitive to warming than
   resource biomass density (with some exceptions). These predictions are in line
   with many current observations and experiments. The model presented and analyzed
   here provides an advancement in the testing framework for global change scenarios
   and hypotheses of latitudinal and elevational species distributions.
   [journals.uchicago.edu.png] The University of Chicago Press
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