Author
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Peters, Debra |
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Submitted to: Weed Technology
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 5/17/2004 Publication Date: 8/1/2004 Citation: Peters, D.C. 2004. Selection of models of invasive species dynamics. Weed Technology. 18:1236-1239. Interpretive Summary: Mathematical and process-based simulation models are powerful tools for synthesizing information about invasive species. However, there are a number of different types of models, ranging from simple to complex, that can be selected for any given application. In this paper, a model classification framework of three types of models is applied to studies of invasive species that allows the objective selection of a model type based on its ability to capture key processes and dynamics, yet minimize the errors in prediction. Model selection is illustrated using a series of increasingly complex models. Technical Abstract: Mathematical and process-based simulation models are powerful tools for synthesizing information about invasive species. However, there are a number of different types of models, ranging from simple to complex, that can be selected for any given application. In this paper, a model classification framework of three types of models is applied to studies of invasive species that allows the objective selection of a model type based on its ability to capture key processes and dynamics, yet minimize the errors in prediction. Model selection is illustrated using a series of increasingly complex models |
