@article {50707,
	title = {Selection of models of invasive species dynamics},
	journal = {Weed Technology},
	volume = {18},
	year = {2004},
	month = {August 1, 2004},
	pages = {1236-1239},
	abstract = {<p>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.</p>
},
	keywords = {biotic, dynamics, environmental, invasive, landscape, Nonspatial models, spatially explicit models, spatially implicit models.},
	doi = {10.1614/0890-037X(2004)018[1236:SOMOIS]2.0.CO;2},
	url = {files/bibliography/JRN00420.pdf},
	author = {Debra C. Peters}
}
