Bondavalli C, Favilla S, Bodini A
Department of Environmental Sciences, University of Parma, Parma, Italy.
Comput Biol Chem. 2009 Feb;33(1):22-8. doi: 10.1016/j.compbiolchem.2008.07.012. Epub 2008 Jul 16.
Natural disturbance or human perturbation act upon ecosystems by changing some dynamical parameters of one or more species. Foreseeing these modifications is necessary before embarking on an intervention: predictions may help to assess management options and define hypothesis for interventions. Models become valuable tools for studying and making predictions only when they capture types of interactions and their magnitude. Quantitative models are more precise and specific about a system, but require a large effort in model construction. Because of this very often ecological systems remain only partially specified and one possible approach to their description and analysis comes from qualitative modelling. Qualitative models yield predictions as directions of change in species abundance but in complex systems these predictions are often ambiguous, being the result of opposite actions exerted on the same species by way of multiple pathways of interactions. Again, to avoid such ambiguities one needs to know the intensity of all links in the system. One way to make link magnitude explicit in a way that can be used in qualitative analysis is described in this paper and takes advantage of another type of ecosystem representation: ecological flow networks. These flow diagrams contain the structure, the relative position and the connections between the components of a system, and the quantity of matter flowing along every connection. In this paper it is shown how these ecological flow networks can be used to produce a quantitative model similar to the qualitative counterpart. Analyzed through the apparatus of loop analysis this quantitative model yields predictions that are by no means ambiguous, solving in an elegant way the basic problem of qualitative analysis. The approach adopted in this work is still preliminary and we must be careful in its application.
自然干扰或人为扰动通过改变一个或多个物种的某些动态参数作用于生态系统。在着手进行干预之前,预见这些变化是必要的:预测有助于评估管理选项并为干预定义假设。只有当模型捕捉到相互作用的类型及其强度时,它们才成为研究和进行预测的有价值工具。定量模型对系统更精确、更具体,但在模型构建方面需要付出巨大努力。因此,生态系统往往只能部分地被明确描述,一种描述和分析它们的可能方法来自定性建模。定性模型给出物种丰度变化方向的预测,但在复杂系统中,这些预测往往含糊不清,这是多种相互作用途径对同一物种施加相反作用的结果。同样,为了避免这种含糊不清,需要知道系统中所有联系的强度。本文描述了一种以可用于定性分析的方式明确联系强度的方法,该方法利用了另一种生态系统表示形式:生态流网络。这些流程图包含系统各组成部分的结构、相对位置和连接,以及沿每个连接流动的物质量。本文展示了如何利用这些生态流网络来生成一个类似于定性对应模型的定量模型。通过回路分析工具对该定量模型进行分析,得到的预测绝非含糊不清,以一种巧妙的方式解决了定性分析的基本问题。本研究采用的方法仍处于初步阶段,在应用时我们必须谨慎。