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Soil Science Society of America Journal Abstract - SOIL & WATER MANAGEMENT & CONSERVATION

CQESTR Simulation of Management Practice Effects on Long-Term Soil Organic Carbon

 

This article in SSSAJ

  1. Vol. 72 No. 5, p. 1486-1492
     
    Received: Apr 30, 2007


    * Corresponding author(s): hero.gollany@ars.usda.gov
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doi:10.2136/sssaj2007.0154
  1. Y. Lianga,
  2. H. T. Gollany *b,
  3. R. W. Rickmanb,
  4. S. L. Albrechtb,
  5. R. F. Follettc,
  6. W. W. Wilhelmd,
  7. J. M. Novake and
  8. C. L. Douglasb
  1. a Dep. of Biological and Agricultural Engineering, Cooperative Extension Service, Univ. of Arkansas, Fayetteville, AR 72701-1201
    b USDA-ARS, Columbia Plateau Conserv. Research Center, P.O. Box. 370, Pendleton, OR 97801
    c USDA-ARS, Soil Plant Nutrient Research Center, Fort Collins, CO 80526
    d USDA-ARS, Agroecosystem Management Research Unit, Lincoln, NE 68583
    e USDA-ARS, Coastal Plains Soil, Water and Plant Res. Center, Florence, SC 29501

Abstract

Management of soil organic matter (SOM) is important for soil productivity and responsible utilization of crop residues for additional uses. CQESTR, pronounced “sequester,” a contraction of “C sequestration” (meaning C storage), is a C balance model that relates organic residue additions, crop management, and soil tillage to SOM accretion or loss. Our objective was to simulate SOM changes in agricultural soils under a range of climate and management systems using the CQESTR model. Four long-term experiments (Champaign, IL, >100 yr; Columbia, MO, >100 yr; Lincoln, NE, 20 yr; Sidney, NE, 20 yr) in the United States under various crop rotations, tillage practices, organic amendments, and crop residue removal treatments were selected for their documented history of the long-term effects of management practice on SOM dynamics. CQESTR successfully simulated a substantial decline in SOM with 50 yr of crop residue removal under various rotations at Columbia and Champaign. The increase in SOM following addition of manure was simulated well; however, the model underestimated SOM for a fertilized treatment at Columbia. Predicted and observed values from the four sites were significantly related (r 2 = 0.94, n = 113, P < 0.001), with slope not significantly different from 1. Given the high correlation of simulated and observed SOM changes, CQESTR can be used as a reliable tool to predict SOM changes from management practices and offers the potential for estimating soil C storage required for C credits. It can also be an important tool to estimate the impacts of crop residue removal for bioenergy production on SOM level and soil production capacity.

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