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Geostatistics for Mapping Weeds, with a Canada Thistle (Cirsium arvense) Patch as a Case Study

Published online by Cambridge University Press:  12 June 2017

William W. Donald
William W. Donald*
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv. Biosciences Res. Lab., and Dep. Crop and Weed Sci., N.D. State Univ., Fargo, ND 58105
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Abstract

Geostatistical methods were used to describe and map nonrandom distribution and variation (standard deviation) of shoot density and root growth across a well-established patch of Canada thistle, a perennial weed. Semivariogram functions and kriging, an interpolation method, were used to prepare isoarithmic contour maps and associated error maps. Maps consisted of interpolated contours of uniform weed density and other measured or calculated regionalized variables between measured X-Y control points, as well as maps of error (standard deviation) associated with contour estimation. Mapped regions of greatest shoot density across a patch not only had the greatest underlying root biomass and, often, greatest density of adventitious root buds, but also had more deeply growing root biomass.

Keywords

Canada thistle, Cirsium arvense (L.) Scop. # CIRARAdventitious root budsdensitygrowthmappingpatchrootsemivarianceshootsspatial statisticsspatial dependence
Type
Special Topics
Information
Weed Science , Volume 42 , Issue 4 , December 1994 , pp. 648 - 657
Copyright
Copyright © 1994 by the Weed Science Society of America 

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