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Heat-Transfer Analysis of Animals: Some Implications for Field Ecology, Physiology, and Evolution

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Perspectives of Biophysical Ecology

Part of the book series: Ecological Studies ((ECOLSTUD,volume 12))

Abstract

Mathematical modeling studies in science are not an end in themselves, but rather a tool. The fundamental purpose of mathematical analysis is to provide generalized, intellectually tractable insight into the operation and interaction of the complex factors involved in the physical and biological process under study. Two often contradictory requirements must be met. First, the model must include all relevant factors, with sufficient detail to give predictive precision for validation and practical applications of the analysis. Second, the analysis must be simple enough to be intellectually tractable and give a clearer subjective understanding than the raw data and knowledge of the individual processes involved. The second requirement implies that the model be constructed so that it is analytically soluble. For the complex nonlinear processes in biology, this is seldom possible without sacrificing precision. This is certainly true in thermal analysis of animals.

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Authors
  1. George S. Bakken
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  2. David M. Gates
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Editor information

Editors and Affiliations

  1. Biological Station, The University of Michigan, 48104, Ann Arbor, Michigan, USA

    David M. Gates (Director) (Director)

  2. School of Education, The University of Michigan, 48104, Ann Arbor, Michigan, USA

    Rudolf B. Schmerl (Assistant Dean for Research) (Assistant Dean for Research)

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© 1975 Springer-Verlag New York Inc.

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Bakken, G.S., Gates, D.M. (1975). Heat-Transfer Analysis of Animals: Some Implications for Field Ecology, Physiology, and Evolution. In: Gates, D.M., Schmerl, R.B. (eds) Perspectives of Biophysical Ecology. Ecological Studies, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87810-7_16

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  • DOI: https://doi.org/10.1007/978-3-642-87810-7_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-87812-1

  • Online ISBN: 978-3-642-87810-7

  • eBook Packages: Springer Book Archive

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