About Us | Help Videos | Contact Us | Subscriptions

Agronomy Journal Abstract - Spatial Variability

Can Topographical and Yield Data Substantially Improve Total Soil Carbon Mapping by Regression Kriging?


This article in AJ

  1. Vol. 99 No. 1, p. 12-17
    Received: Sept 1, 2005

    * Corresponding author(s): kravche1@msu.edu
Request Permissions

  1. A. N. Kravchenko *a and
  2. G. P. Robertsonb
  1. a Dep. of Crop and Soil Sciences, Michigan State Univ., East Lansing, MI 48824-1325
    b W.K. Kellogg Biological Station and Dep. of Crop and Soil Sciences, Michigan State Univ., Hickory Corners, MI 49060-9516


Accurate mapping of total soil C on the field scale is essential for evaluating efforts to sequester soil C and for providing individual producers with information on C sequestration potentials of their fields. Data on easily measured secondary variables that are strongly related to soil C are believed to be helpful in improving mapping accuracy. The objective of this study was to assess improvement in mapping accuracy due to dense topographical and long-term yield monitoring information. Approximately 1200 total C measurements at the 0- to 5-cm depth along with topographical and 7-yr crop grain yield data were collected at twelve 60- by 60-m plots at the Long-Term Ecological Research Site in Michigan. Total C was found to be significantly related to topography and 7-yr average standardized yield in all studied plots, with regression R 2 >0.5 in approximately half of the plots. Accounting for either topographical or yield information in regression kriging, however, produced only modest (<10%) improvement in mapping accuracy compared with ordinary kriging. Plots with promisingly strong relationships of total C with topography or yield were also found to be the ones where spatial distributions of total C were highly continuous, thus leading to no advantages in using regression kriging. The results indicated that under soil and topographical conditions similar to those of this study, dense topographical data or dense long-term yield data might not lead to substantial improvement in C mapping accuracy.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © 2007. American Society of AgronomyAmerican Society of Agronomy