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United States Department of Agriculture

Agricultural Research Service

Title: Selection of Models of Invasive Species Dynamics

Author
item Peters, Debra

Submitted to: Weed Technology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: May 17, 2004
Publication Date: August 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

Last Modified: 9/10/2014
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