Parameterizing, evaluating and comparing metapopulation models with data from individual-based simulations

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• 作者：Frank M. Hilker ; Martin Hinsch ; Hans Joachim Poethke
• 关键词：Model comparison ; Parameterization ; Metapopulation ; Individual-based model ; Incidence function model ; Grid-based
• 刊名：Ecological Modelling
• 出版年：2006
• 出版时间：16 December 2006
• 年：2006
• 卷：199
• 期：4
• 页码：476-485
• 全文大小：791 K

文摘

Due to the lack of sufficient data and appropriate ecological information parameterizing predictive population dynamical models usually is a difficult task. The approach proposed in this study is meant to overcome this problem by using detailed individual-based simulations to generate artificial data. With short-term data samples, the models to be investigated can be parameterized and their predictions be compared. The flexibility of individual-based simulations as experimental tools also facilitates the evaluation and comparison of different (aggregated) model types. The presented approach is a step towards unifying models of different complexity. As an example we applied it to two metapopulation models of insect species in a highly fragmented landscape: the well-known incidence function model with a patch-based representation of space and a grid-based analogue. The models are tested with respect to their data requirement and recommendations for a better data sampling are derived.