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A regional framework for analyzing weed species and assemblage distributions using a geographic information system

Published online by Cambridge University Press:  12 June 2017

Michael R. Burkart  and
Douglas D. Buhler
Douglas D. Buhler
Affiliation:
National Soil Tilth Laboratory, U.S. Department of Agriculture, Agricultural Research Services, 2150 Pammel Drive, Ames, IA 50011
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Abstract

This paper presents a framework in which the spatial and temporal domain of weed populations can be analyzed using geographically referenced information. The regional framework for analysis is based on the premise that the domain of a weed species or an assemblage of species can be described in terms of the space and time in which they survive. Published maps of the spatial distribution of individual weed species were converted to digital records defining their geographic domain. Digital records were imported into a geographically referenced data system. Assemblage maps were produced by intersecting domains of individual species. The assemblage maps show areas with similar intensity of the occurrence of species selected for analysis. The most intense occurrence of summer annual species, for example, exists in a relatively small area of the Midwest. The framework presented in this paper is a concept for a tool to evaluate, manage, and manipulate weed distribution data at the regional scale. Analysis at the regional scale is a perspective substantially different from the plot or field-scale analysis traditionally used to study and manage weed populations. Regional analysis has application to weed science by increasing the understanding of regional patterns of weed infestation and the factors that regulate them. This information will be useful to the herbicide industry, plant ecologists, resource managers, and agricultural policy makers.

Keywords

Regional analysesspatial distributionweed population shifts

Information

Type
Special Topics
Information
Weed Science , Volume 45 , Issue 3 , June 1997 , pp. 455 - 462
Copyright
Copyright © 1997 by the Weed Science Society of America 

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