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• W2069958866 abstract "In order to study ecological systems, one has to decide the level of complexity and detail one should incorporate into the model so as to optimize the study. Indeed, any model is a compromise between generality and simplicity in one hand and realism on the other. Models which include many biological details in its speci cation become complicated, and their analytical study is often non-viable. On the other hand, very simple models, although analytically tractable, often do not justify the assumptions needed to obtain such simplicity. Nature o ers many examples of systems with an inherent complexity. For example, communities are sets of interacting populations. Populations themselves have an internal structure, for individuals may have di erent ages or be in di erent stages. These stages may correspond to size, spatial patches, genotypes, individual activities as rest or search for food, etc. Aggregation methods study the relationships between a large class of complex systems, in which many variables are involved, and their corresponding reduced or aggregated systems, governed by a few variables. The aim of aggregation techniques is twofold: on the one hand they allow one to rigorously construct, starting from a complex system, a simpler model which summarizes some characteristics of its dynamics, therefore simplifying their analytical study. On the other hand, the complex systems are explanations of the simpler ones at a ner level of detail. The essential" @default.
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• W2069958866 date "2000-03-01" @default.
• W2069958866 modified "2023-10-02" @default.
• W2069958866 title "Time scales in stochastic multiregional models" @default.
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• W2069958866 doi "https://doi.org/10.1016/s0362-546x(99)00395-8" @default.
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