Title | Selection of models of invasive species dynamics |
Publication Type | Journal Article |
Year of Publication | 2004 |
Authors | Peters DC |
Journal | Weed Technology |
Volume | 18 |
Pagination | 1236-1239 |
Date Published | August 1, 2004 |
Accession Number | JRN00420 |
ARIS Log Number | 161842 |
Keywords | biotic, dynamics, environmental, invasive, landscape, Nonspatial models, spatially explicit models, spatially implicit 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. |
URL | files/bibliography/JRN00420.pdf |
DOI | 10.1614/0890-037X(2004)018[1236:SOMOIS]2.0.CO;2 |