Dynamic environ analysis of compartmental systems: A computational approach

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• 作者：Jane Shevtsov ; Caner Kazanci ; Bernard C. Patten
• 关键词：Environ analysis ; Dynamic environ approximation ; Ecosystem models ; Compartment models ; Food webs
• 刊名：Ecological Modelling
• 出版年：2009
• 出版时间：24 November 2009
• 年：2009
• 卷：220
• 期：22
• 页码：3219-3224
• 全文大小：832 K

文摘

Ecosystems are often modeled as stocks of matter or energy connected by flows. Network environ analysis (NEA) is a set of mathematical methods for using powers of matrices to trace energy and material flows through such models. NEA has revealed several interesting properties of flow–storage networks, including dominance of indirect effects and the tendency for networks to create mutually positive interactions between species. However, the applicability of NEA is greatly limited by the fact that it can only be applied to models at constant steady states. In this paper, we present a new, computationally oriented approach to environ analysis called dynamic environ approximation (DEA). As a test of DEA, we use it to compute compartment throughflow in two implementations of a model of energy flow through an oyster reef ecosystem. We use a newly derived equation to compute model throughflow and compare its output to that of DEA. We find that DEA approximates the exact results given by this equation quite closely – in this particular case, with a mean Euclidean error ranging between 0.0008 and 0.21 – which gives a sense of how closely it reproduces other NEA-related quantities that cannot be exactly computed and discuss how to reduce this error. An application to calculating indirect flows in ecosystems is also discussed and dominance of indirect effects in a nonlinear model is demonstrated.