Integrating dynamic energy budget (DEB) theory with traditional bioenergetic models
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- Roger M. Nisbet
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106-9610, USA
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- Marko Jusup
- Rudjer Boskovic Institute, Department for Marine and Environmental Research, Bijenicka cesta 54, POB 180, HR-10002 Zagreb, Croatia
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- Tin Klanjscek
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106-9610, USA
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- Laure Pecquerie
- Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106-9610, USA
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説明
<jats:title>Summary</jats:title><jats:p>Dynamic energy budget (DEB) theory offers a systematic, though abstract, way to describe how an organism acquires and uses energy and essential elements for physiological processes, in addition to how physiological performance is influenced by environmental variables such as food density and temperature. A ‘standard’ DEB model describes the performance (growth, development, reproduction, respiration, etc.) of all life stages of an animal (embryo to adult), and predicts both intraspecific and interspecific variation in physiological rates. This approach contrasts with a long tradition of more phenomenological and parameter-rich bioenergetic models that are used to make predictions from species-specific rate measurements. These less abstract models are widely used in fisheries studies; they are more readily interpretable than DEB models, but lack the generality of DEB models. We review the interconnections between the two approaches and present formulae relating the state variables and fluxes in the standard DEB model to measured bioenergetic rate processes. We illustrate this synthesis for two large fishes: Pacific bluefin tuna (Thunnus orientalis) and Pacific salmon (Oncorhynchus spp.). For each, we have a parameter-sparse, full-life-cycle DEB model that requires adding only a few species-specific features to the standard model. Both models allow powerful integration of knowledge derived from data restricted to certain life stages, processes and environments.</jats:p>
収録刊行物
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- Journal of Experimental Biology
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Journal of Experimental Biology 215 (6), 892-902, 2012-03-15
The Company of Biologists