The "covariation method" for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach
The "covariation method" for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach
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DOI：
10.1016/j.seares.2011.07.010
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发表时间：
2011-11-01
影响因子：
2
通讯作者：
Kooijman, Sebastiaan A. L. M.
中科院分区：
文献类型：
--
作者：
Lika, Konstadia;Kearney, Michael R.;Kooijman, Sebastiaan A. L. M.
代谢组织的动态能量预算（DEB）理论涵盖了任何生物体整个生命周期的发育、生长、维持、繁殖和衰老过程。然而，DEB理论的应用具有挑战性，因为状态变量和参数是不可直接观测的抽象量。我们在这里提出一种新的参数估计方法，即协变方法，该方法允许从标准经验数据集估计标准动态能量预算（DEB）模型的所有参数。参数估计基于多个数据集和模型预测之间的加权平方和的同时最小化或负对数似然函数的最小化，两者都在单步过程中。 DEB 理论的结构允许使用单个数据点（例如最大繁殖率）（我们称之为“零变量”数据）来估计参数的不寻常情况。我们还引入了“伪数据”的概念，利用标准 DEB 模型隐含的物种间参数值协变的规则。这使我们能够引入广义动物的概念，它具有指定的参数值。我们在这里概述了该方法背后的理念及其技术实现。在一篇配套论文中，我们评估了估计程序的行为，并提出了不同类群参数值新兴模式的初步发现。 (C) 2011 Elsevier B.V. 保留所有权利。
The Dynamic Energy Budget (DEB) theory for metabolic organisation captures the processes of development, growth, maintenance, reproduction and ageing for any kind of organism throughout its life-cycle. However, the application of DEB theory is challenging because the state variables and parameters are abstract quantities that are not directly observable. We here present a new approach of parameter estimation, the covariation method, that permits all parameters of the standard Dynamic Energy Budget (DEB) model to be estimated from standard empirical datasets. Parameter estimates are based on the simultaneous minimization of a weighted sum of squared deviations between a number of data sets and model predictions or the minimisation of the negative log likelihood function, both in a single-step procedure. The structure of DEB theory permits the unusual situation of using single data-points (such as the maximum reproduction rate), which we call "zero-variate" data, for estimating parameters. We also introduce the concept of "pseudo-data", exploiting the rules for the covariation of parameter values among species that are implied by the standard DEB model. This allows us to introduce the concept of a generalised animal, which has specified parameter values. We here outline the philosophy behind the approach and its technical implementation. In a companion paper, we assess the behaviour of the estimation procedure and present preliminary findings of emerging patterns in parameter values across diverse taxa. (C) 2011 Elsevier B.V. All rights reserved.