From food-dependent statistics to metabolic parameters, a practical guide to the use of dynamic energy budget theory

From food-dependent statistics to metabolic parameters, a practical guide to the use of dynamic energy budget theory
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DOI:
10.1111/j.1469-185x.2008.00053.x
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发表时间:
2008-11-01
期刊:
影响因子:
10
通讯作者:
Jager, T.
Jager, T.
中科院分区:
生物学1区
文献类型:
--
作者:
Kooijman, S. A. L. M.;Sousa, T.;Jager, T.

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代谢组织的动态能量收支理论的标准模型具有只能用间接方法量化的变量和参数。我们提出了从易于观察的食物依赖量中提取食物无关的能量收支参数值的新方法(和软件),从而便于该理论的实际应用,以增强预测性和外推性。讨论了一个由10个步骤组成的自然序列,以获得一些化合物参数,然后是主参数,然后是组成参数,最后是热力学参数;该序列与所需的日益复杂的数据序列相匹配,详细讨论了这一序列。许多应用程序不需要所有参数的知识,我们讨论了从一个物种到另一个物种推断参数的方法。讨论了生物质的质量、体积和能量指标的转换;这些转换不是微不足道的,因为由于不同形式的动态平衡,生物质的化学成分可以以特定的方式发生变化。我们解决了这样的问题:“如果我们已经在丰富的食物中测量了这些统计数据,那么在特定的食物水平上,最终的繁殖率和冯·贝塔兰菲增长率是多少?”以及“考虑到冯·贝塔兰菲增长曲线的参数,最长的孵化时间是多少?”我们提出了一种新的非破坏性方法来量化生命储备和结构的化学势和熵,这可能会改变我们对生命热力学性质的看法。我们使用丝虫和软体动物的数据说明了这些方法。
The standard model of the dynamic energy budget theory for metabolic organisation has variables and parameters that can be quantified using indirect methods only. We present new methods (and software) to extract food-independent parameter values of the energy budget from food-dependent quantities that are easy to observe, and so facilitate the practical application of the theory to enhance predictability and extrapolation. A natural sequence of 10 steps is discussed to obtain some compound parameters first, then the primary parameters, then the composition parameters and finally the thermodynamic parameters; this sequence matches a sequence of required data of increasing complexity which is discussed in detail. Many applications do not require knowledge of all parameters, and we discuss methods to extrapolate parameters from one species to another. The conversion of mass, volume and energy measures of biomass is discussed; these conversions are not trivial because biomass can change in chemical composition in particular ways thanks to different forms of homeostasis. We solve problems like "What would be the ultimate reproduction rate and the von Bertalanffy growth rate at a specific food level, given that we have measured these statistics at abundant food?" and "What would be the maximum incubation time, given the parameters of the von Bertalanffy growth curve?". We propose a new non-destructive method for quantifying the chemical potential and entropy of living reserve and structure, that can potentially change our ideas on the thermodynamic properties of life. We illustrate the methods using data on daphnids and molluscs.