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Selection of Models of Invasive Species Dynamics1

Author:
PETERS, DEBRA P. C.
Source:
Weed technology 2004 v.18 no.sp1 pp. 1236
ISSN:
0890-037X
Subject:
mathematical models, simulation models, invasive species, spatial data, dynamic models
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 article, 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 on the basis of 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.Additional index words: Nonspatial models, spatially explicit models, spatially implicit models.
Agid:
40048
Handle:
10113/40048