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ADDRESSING UNCERTAINTY IN MARINE ECOSYSTEMS MODELLING

机译:解决海洋生态系统建模中的不确定性

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Ecosystem modelling has become a very important way to study marine ecosystems processes. A valuable tool for model development is the use of the software package Ecopath with Ecosim, which enables the construction of foodwebs and their simulation over time and space according to different scenarios. An important part of the process of ecosystem modelling is to compare results from the model with those from observations, followed by an analysis of the remaining sources of error. However, few of the currently developed Ecopath models have gone so far as to examine the uncertainty in analyses. Thus, it would be useful to address this problem, to clearly define the type of uncertainty that may be encountered in ecosystem modelling, and the means by which it may handled. Sensitivity analyses represent one solution by which one might address uncertainty in Ecopath with Ecosim. This approach functions by examining the sensitive elements as revealed in model results with differing scenarios of model-building and construction. In addition, other tools can also be used to perform uncertainty analysis routines. Examples are the Pedigree, Ecoranger and Autobalance tools, all of which are included the Ecopath software package. Furthermore, it is possible to combine these approaches with other modelling techniques in order to get an even stronger analysis of uncertainty. The purpose of this paper is to examine the strengths and weaknesses of these different approaches in addressing uncertainty.
机译:生态系统建模已经成为研究海洋生态系统过程的非常重要的方式。用于模型开发的一种有价值的工具是将Ecopath软件包与Ecosim结合使用,它可以根据不同的场景在不同的时间和空间上构建食物网并对其进行仿真。生态系统建模过程的重要部分是将模型的结果与观测的结果进行比较,然后分析其余的误差源。但是,目前很少开发的Ecopath模型可以检查分析中的不确定性。因此,解决该问题,明确定义生态系统建模中可能遇到的不确定性的类型及其处理方式将非常有用。敏感性分析代表了一种解决方案,可以通过此解决方案使用Ecosim解决Ecopath中的不确定性。这种方法通过检查模型结果中揭示的敏感元素以及不同的模型构建和构造方案来发挥作用。此外,还可以使用其他工具来执行不确定性分析例程。示例包括谱系,Ecoranger和自动平衡工具,所有这些都包括在Ecopath软件包中。此外,有可能将这些方法与其他建模技术结合起来,以获得更强大的不确定性分析。本文的目的是研究这些不同方法在解决不确定性方面的优点和缺点。

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