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Bulletin of Mathematical Biology

, Volume 66, Issue 6, pp 1731–1753 | Cite as

Resource allocation, hyperphagia and compensatory growth

  • William S. C. GurneyEmail author
  • Roger M. Nisbet
Article

Abstract

Organisms often shown enhanced growth during recovery from starvation, and can even overtake continuously fed conspecifics (overcompensation). In an earlier paper (Ecology 84, 2777–2787), we studied the relative role played by hyperphagia and resource allocation in producing overcompensation in juvenile (non-reproductive) animals. We found that, although hyperphagia always produces growth compensation, overcompensation additionally requires protein allocation control which routes assimilate preferentially to structure during recovery. In this paper we extend our model to cover reproductively active individuals and demonstrate that growth rate overcompensation requires a similar combination of hyperphagia and allocation control which routes the part of enhanced assimilation not used for reproduction preferentially towards structural growth. We compare the properties of our dynamic energy budget model with an earlier proposal, due to Kooijman, which we extend to include hyperphagia. This formulation assumes that the rate of allocation to reserves is controlled by instantaneous feeding rate, and one would thus expect that an extension to include hyperphagia would not predict growth overcompensation. However, we show that a self-consistent representation of the hyperphagic response in Kooijman’s model overrides its fundamental dynamics, leading to preferential allocation to structural growth during recovery and hence to growth overcompensation.

Keywords

Assimilation Rate Compensatory Growth Structural Mass Structural Growth Reserve Fraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Society for Mathematical Biology 2004

Authors and Affiliations

  1. 1.Department of Statistics and Modelling ScienceUniversity of StrathclydeGlasgowUK
  2. 2.Fisheries Research Services, Marine LaboratoryAberdeenUK
  3. 3.Department of Ecology, Evolution and Marine BiologyUniversity of CaliforniaSanta BarbaraUSA

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