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Spatial Analysis of the Relationship of Grasshopper Outbreaks to Soil Classification

  • Daniel L. Johnson
Part of the Lecture Notes in Statistics book series (LNS, volume 55)

Abstract

Two spatial modeling methods, based on analysis of either area or point data, were applied to test hypotheses regarding the relationship of grasshopper population density to soil type and texture in southern Alberta. Grasshopper abundance over the last 10 years was higher in certain soil zones than in others. This difference has been attributed in some previous studies to soil surface texture (“intrinsic hypothesis”). Alternatively, the effect may actually be caused by geographical covariables such as weather, vegetation and farming practices (“extrinsic hypothesis”). A geographic information system was utilized to test these hypotheses in two ways. First, area modeling was employed by overlaying maps of grasshopper population density, previous year’s population density, soil type, and soil texture. The resulting unique conditions were subjected to analysis of covariance, with the map intersection area as the weight. The second method relied on analysis of point data from the grasshopper survey database, using the same statistical model. The results of both analytical methods indicated that grasshopper abundance was related to soil type (P < 0.001), but not to soil texture (P > 0.1), and the intrinsic hypothesis was rejected.

Keywords

Geographic Information System Soil Texture Soil Zone Chernozemic Soil Grasshopper Species 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • Daniel L. Johnson
    • 1
  1. 1.Agriculture Canada Research StationLethbridgeCanada

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