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将动态能量预算(DEB)理论与传统生物能量学模型相结合。

Integrating dynamic energy budget (DEB) theory with traditional bioenergetic models.

机构信息

Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA 93106-9610, USA.

出版信息

J Exp Biol. 2012 Mar 15;215(Pt 6):892-902. doi: 10.1242/jeb.059675.

Abstract

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.

摘要

动态能量预算(DEB)理论提供了一种系统的、抽象的方法来描述生物体如何获取和利用能量以及生理过程所需的基本元素,以及生理性能如何受到环境变量(如食物密度和温度)的影响。“标准”DEB 模型描述了动物(从胚胎到成年)所有生命阶段的性能(生长、发育、繁殖、呼吸等),并预测生理速率的种内和种间变化。这种方法与更具现象学和参数丰富的生物能量模型的悠久传统形成对比,后者用于根据物种特异性速率测量进行预测。这些不那么抽象的模型在渔业研究中被广泛使用;它们比 DEB 模型更容易解释,但缺乏 DEB 模型的通用性。我们回顾了这两种方法之间的联系,并提出了将标准 DEB 模型中的状态变量和通量与测量的生物能量率过程相关联的公式。我们以两种大型鱼类为例来说明这种综合:太平洋蓝鳍金枪鱼(Thunnus orientalis)和太平洋三文鱼(Oncorhynchus spp.)。对于每一种鱼类,我们都有一个参数稀疏的全生命周期 DEB 模型,只需向标准模型添加一些特定于物种的特征。这两个模型都允许从仅适用于某些生命阶段、过程和环境的数据中得出的知识进行强大的整合。

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