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Missing the Boat: Midwest Farm Drainage and Gulf of Mexico Hypoxia

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  • Daniel R. Petrolia
  • Prasanna H. Gowda

Abstract

Research addressing Gulf hypoxia has failed to account for agricultural drainage, the major pathway of nitrate loads in Upper Midwest states. Focusing on two Minnesota watersheds, simulation results were combined with a constrained-optimization model to evaluate the cost-effectiveness of nitrogen-abatement policies, with explicit focus on drainage. Results indicate that drained land dominates in nitrogsen abatement, and has substantially lower abatement costs relative to nondrained land. However, policies that remove drainage were not cost-effective. Further, it was found that nutrient management, a policy strongly recommended by prior research, is relatively cost-ineffective as a means of abatement on non-drained land. Copyright 2006, Oxford University Press.

Suggested Citation

  • Daniel R. Petrolia & Prasanna H. Gowda, 2006. "Missing the Boat: Midwest Farm Drainage and Gulf of Mexico Hypoxia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(2), pages 240-253.
  • Handle: RePEc:oup:revage:v:28:y:2006:i:2:p:240-253
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    File URL: http://hdl.handle.net/10.1111/j.1467-9353.2006.00284.x
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    1. Daniel R. Petrolia, 2008. "An Analysis of the Relationship between Demand for Corn Stover as an Ethanol Feedstock and Soil Erosion," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(4), pages 677-691.
    2. Negm, L.M. & Youssef, M.A. & Chescheir, G.M. & Skaggs, R.W., 2016. "DRAINMOD-based tools for quantifying reductions in annual drainage flow and nitrate losses resulting from drainage water management on croplands in eastern North Carolina," Agricultural Water Management, Elsevier, vol. 166(C), pages 86-100.
    3. Ale, Srinivasulu & Gowda, Prasanna H. & Mulla, David J. & Moriasi, Daniel N. & Youssef, Mohamed A., 2013. "Comparison of the performances of DRAINMOD-NII and ADAPT models in simulating nitrate losses from subsurface drainage systems," Agricultural Water Management, Elsevier, vol. 129(C), pages 21-30.
    4. Heilman, P. & Malone, R.W. & Ma, L. & Hatfield, J.L. & Ahuja, L.R. & Boyle, K.P. & Kanwar, R.S., 2012. "Extending results from agricultural fields with intensively monitored data to surrounding areas for water quality management," Agricultural Systems, Elsevier, vol. 106(1), pages 59-71.
    5. Petrolia, Daniel R. & Gowda, Prasanna H., 2006. "An Analysis of the Role of Tile-Drained Farmland Under Alternative Nitrogen Abatement Policies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(3), pages 1-15, December.
    6. Ale, S. & Bowling, L.C. & Owens, P.R. & Brouder, S.M. & Frankenberger, J.R., 2012. "Development and application of a distributed modeling approach to assess the watershed-scale impact of drainage water management," Agricultural Water Management, Elsevier, vol. 107(C), pages 23-33.
    7. Youssef, Mohamed A. & Abdelbaki, Ahmed M. & Negm, Lamyaa M. & Skaggs, R.Wayne & Thorp, Kelly R. & Jaynes, Dan B., 2018. "DRAINMOD-simulated performance of controlled drainage across the U.S. Midwest," Agricultural Water Management, Elsevier, vol. 197(C), pages 54-66.
    8. Coppess, Jonathan, . "Dead Zones & Drinking Water, Part 1: RCPP and Review," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 6.
    9. Ahiablame, L.M. & Chaubey, I. & Smith, D.R. & Engel, B.A., 2011. "Effect of tile effluent on nutrient concentration and retention efficiency in agricultural drainage ditches," Agricultural Water Management, Elsevier, vol. 98(8), pages 1271-1279, May.
    10. Singh, Shailendra & Bhattarai, Rabin & Negm, Lamyaa M. & Youssef, Mohamed A. & Pittelkow, Cameron M., 2020. "Evaluation of nitrogen loss reduction strategies using DRAINMOD-DSSAT in east-central Illinois," Agricultural Water Management, Elsevier, vol. 240(C).
    11. Busby, David P. & Philips, Andrew L. & Herndon, Cary W., Jr., 2008. "Construction Cost Sensitivity of a Lignocellulosic Ethanol Biorefinery," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6784, Southern Agricultural Economics Association.

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