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Soil Quality Attribute Time Paths: Optimal Levels And Values

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  • Smith, Elwin G.
  • Lerohl, Mel L.
  • Messele, Teklay
  • Janzen, H. Henry

Abstract

We develop a dynamic soil quality model to evaluate optimal cropping systems in the northern Great Plains. Modeling soil quality attributes is feasible, and attribute model results apply to a wide range of soils. A crop production system with continuous spring wheat and direct planting is the most profitable system. This system has low soil erosion and high quality attributes, indicating the benefits of increased soil quality exceed the higher maintenance costs. On-site value of additional soil organic carbon (OC) ranges from $1 to $4/ton OC/hectare/year. These values for soil OC impact the optimum tillage practice, but not the crop rotation.

Suggested Citation

  • Smith, Elwin G. & Lerohl, Mel L. & Messele, Teklay & Janzen, H. Henry, 2000. "Soil Quality Attribute Time Paths: Optimal Levels And Values," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(1), pages 1-18, July.
    • Handle: RePEc:ags:jlaare:30827
    DOI: 10.22004/ag.econ.30827
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    References listed on IDEAS

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    Cited by:

    1. X. Liu & S.J. Herbert & A.M. Hashemi & X. Zhang & G. Ding, 2006. "Effects of agricultural management on soil organic matter and carbon transformation - a review," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 52(12), pages 531-543.
    2. Aller, Taryn D. & Williams, Jeffery R. & Nelson, Richard G. & Claassen, Mark M. & Rice, Charles W., 2001. "An Economic Analysis of Carbon Sequestration for Wheat and Grain Sorghum Production in Kansas," Staff Papers 117991, Kansas State University, Department of Agricultural Economics.
    3. Issanchou, Alice & Daniel, Karine & Dupraz, Pierre & Ropars-Collet, Carole, 2018. "Soil resource and the profitability and sustainability of farms: A soil quality investment model," Working Papers 273053, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    4. Williams, Jeffery R. & Nelson, Richard G. & Aller, Taryn D. & Claassen, Mark M. & Rice, Charles W., 2002. "Derived Carbon Credit Values For Carbon Sequestration: Do Co2 Emissions From Production Inputs Matter ?," 2002 Annual meeting, July 28-31, Long Beach, CA 19798, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Lucas Bretschger & Alexandra Vinogradova, 2016. "Preservation of Agricultural Soils with Endogenous Stochastic Degradation," CER-ETH Economics working paper series 16/232, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    6. Brausmann, Alexandra & Bretschger, Lucas, 2018. "Economic development on a finite planet with stochastic soil degradation," European Economic Review, Elsevier, vol. 108(C), pages 1-19.
    7. Issanchou, Alice, 2016. "Soil resource, at the core of competitiveness and sustainability issues in agriculture: an economic approach," Working Papers 230002, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    8. Ekbom, Anders & Brown, Gardner M. & Sterner, Thomas, 2009. "Muddy Waters: Soil Erosion and Downstream Externalities," Working Papers in Economics 341, University of Gothenburg, Department of Economics.
    9. Michelle Wander & Todd Nissen, 2004. "Value of Soil Organic Carbon in Agricultural Lands," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 9(4), pages 417-431, October.
    10. Alice Issanchou, 2016. "Soil resource, at the core of competitiveness and sustainability issues in agriculture: an economic approach," Working Papers SMART 16-01, INRAE UMR SMART.

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    Crop Production/Industries;

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