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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
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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References

Literature Cited

Anonymous. 1981. Weeds of the North Central States. North Central Regional Publication No. 281. Champaign, IL: University of Illinois.Google Scholar
Buhler, D. D. 1995. Influence of tillage systems on weed population dynamics and management in corn and soybean production in the central USA. Crop Sci. 35: 1247–1257.Google Scholar
Burkart, M. R., James, D. E., Oberle, S. L., and Hewitt, M. J. 1995. Exploring diversity within regional agroecosystems. in Olson, R. and Francis, C., eds. Exploring the Role of Diversity in Sustainable Agriculture. Special Publication ACS322. Madison, WI: American Society of Agronomy, pp. 195–223.Google Scholar
Burkart, M. R., Oberle, S. L., Hewitt, M. J., and Pickus, J. 1994. A framework for regional agroecosystems characterization using the national resources inventory. J. Environ. Qual. 23: 866–874.Google Scholar
Chicoine, T. K., Fay, P. K., and Nielsen, G. A. 1985. Predicting weed migration from soil and climate maps. Weed Sci. 34: 57–61.Google Scholar
Cousens, R. and Mortimer, M. 1995. In Dynamics of Weed Populations. Cambridge, Great Britain: Cambridge University Press, pp. 21–54.Google Scholar
Derkson, D. A., Lafond, G. P., Thomas, A. G., Loeppky, H. A., and Swanton, C. J. 1993. Impact of agronomic practices on weed communities: tillage systems. Weed Sci. 41: 409–417.Google Scholar
Duke, J. A. 1976. Perennial weeds as indicators of annual climatic parameters. Agric. Meteorol. 16: 291–294.Google Scholar
Elliot, E. T. and Cole, C. V. 1989. A perspective on agroecosystem science. Ecology 70: 1597–1602.Google Scholar
Froud-Williams, R. J., Chancellor, R. J., and Drennen, D.S.H. 1983. Influence of cultivation regime upon buried weed seeds in arable cropping systems. J. Appl. Ecol. 20: 199–206.Google Scholar
Harris, P. and Cranston, R. 1979. An economic evaluation of control methods for diffuse and spotted knapweed in western Canada. Can. J. Plant Sci. 59: 375–382.Google Scholar
Julien, M. H., Skarratt, B., and Maywald, G. F. 1995. Potential geographic distribution of alligator weed and its biological control by Agasicles hygrophila . J. Aquat. Plant Manage. 33: 55–60.Google Scholar
Lass, L. W. and Callihan, R. H. 1993. GPS and GIS for weed surveys and management. Weed Technol. 7: 249–254.Google Scholar
Lindsay, D. R. 1953. Climate as a factor influencing the mass ranges of weeds. Ecology 34: 308–321.Google Scholar
Omernik, J. M. 1987. Ecoregions of the Conterminous United States. Ann. Assoc. Am. Geogr. 77: 118–125.Google Scholar
Prather, T. S. and Callihan, R. H. 1993. Weed eradication using geographic information systems. Weed Technol. 7: 265–269.Google Scholar
Reuss, H. U. and Bachthaler, G. 1979. Review about the state and trend of the weed flora on arable land influenced by ecological and anthropogenic factors. St. Paul, MN: IX International Congress of Plant Protection and 71st Meeting of the American Phytopathology Society, pp. 99–106.Google Scholar
Wang, R. L., Wendell, J. F., and Dekker, J. H. 1995a. Weedy adaptation in Setaria spp. I. Isozyme analysis of genetic diversity and population genetic structure in Setaria viridis. Am. J. Bot. 82: 308–317.Google Scholar
Wang, R. L., Wendell, J. F., and Dekker, J. H. 1995b. Weedy adaptation in Setaria spp. II. Genetic diversity and population genetic structure in S. glauca, S. geniculata, and S. faberi (Poaceae). Am. J. Bot. 82: 308–317.Google Scholar
Wax, L. M. 1995. Pigweeds of the Midwest—distribution, importance and management. in Proceedings of the Integrated Crop Management Conference. Ames, IA: Iowa State University, pp. 239–242.Google Scholar
Wilson, J. P., Inskeep, W. P., Rubright, P. R., Cooksey, D., Jacobsen, J. S., and Snyder, R. D. 1993. Coupling geographic information systems and models for weed control and groundwater protection. Weed Technol. 7: 255–264.Google Scholar