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This article in SSSAJ

  1. Vol. 61 No. 2, p. 541-548
     
    Received: Aug 28, 1995
    Published: Mar, 1997


    * Corresponding author(s): kabrick@sylvan.snr.missouri.edu
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doi:10.2136/sssaj1997.03615995006100020024x

Spatial Patterns of Carbon and Texture on Drumlins in Northeastern Wisconsin

  1. J. M. Kabrick ,
  2. M. K. Clayton and
  3. K. McSweeney
  1. School of Natural Resources, Univ. of Missouri, 1-31 Agriculture, Columbia, MO 65211
    Dep. of Statistics and Dep. of Plant Pathology
    Dep. of Soil Science, Univ. of Wisconsin, Madison, WI

Abstract

Abstract

The objective of the study was to determine if there is a consistent and pervasive spatial pattern to organic C and particle-size distribution for drumlin summits of the Nicolet National Forest, Wisconsin. Accordingly, a method for estimating confidence intervals was developed and used to assess variogram similarity and variation. Organic C and particle-size distribution were determined for the upper 20 cm of mineral soil at nodes of sampling grids on each of six drumlin summits. The aeolian cap thickness was also measured at each node. Variograms and confidence intervals were constructed for each attribute on each drumlin. A systematic comparison of variograms and their confidence intervals revealed that C and clay content each had similar variograms from drumlin to drumlin. Thus, composite variograms for each C and clay content were then constructed. Organic C appeared to be nearly spatially random, while clay content is spatially dependent. Sand and silt variograms each varied from drumlin to drumlin and thus were not combined into composite variograms. Variogram dissimilarity for sand and silt appeared to be related to aeolian cap thickness; greater sill variances occurred on drumlins with thinner aeolian caps. The approach and methods described here have utility for identifying attributes that have similar patterns on a particular landform and show promise for more rigorously quantifying soil attribute patterns for soil surveys and related land information systems.

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