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LUMINATE: linking agricultural land use, local water quality and Gulf of Mexico hypoxia

Author

Listed:
  • Catherine L. Kling
  • Yiannis Panagopoulos
  • Sergey S. Rabotyagov
  • Adriana M. Valcu
  • Philip W. Gassman
  • Todd Campbell
  • Michael J. White
  • Jeffrey G. Arnold
  • Raghavan Srinivasan
  • Manoj K. Jha
  • Jeffrey J. Richardson
  • L. Monika Moskal
  • R. Eugene Turner
  • Nancy N. Rabalais

Abstract

In this paper, we discuss the importance of developing integrated assessment models to support the design and implementation of policies to address water quality problems associated with agricultural pollution. We describe a new modelling system, LUMINATE, which links land use decisions made at the field scale in the Upper Mississippi, Ohio and Tennessee Basins through both environmental and hydrological components to downstream water quality effects and hypoxia in the Gulf of Mexico. This modelling system can be used to analyse detailed policy scenarios identifying the costs of the policies and their resulting benefits for improved local and regional water quality. We demonstrate the model's capabilities with a simple scenario where cover crops are incentivised with green payments over a large expanse of the watershed.

Suggested Citation

  • Catherine L. Kling & Yiannis Panagopoulos & Sergey S. Rabotyagov & Adriana M. Valcu & Philip W. Gassman & Todd Campbell & Michael J. White & Jeffrey G. Arnold & Raghavan Srinivasan & Manoj K. Jha & Je, 2014. "LUMINATE: linking agricultural land use, local water quality and Gulf of Mexico hypoxia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 431-459.
    • Handle: RePEc:oup:erevae:v:41:y:2014:i:3:p:431-459.
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    File URL: http://hdl.handle.net/10.1093/erae/jbu009
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    Cited by:

    1. Grenestam, Erik & Nordin, Martin, 2018. "Estimating the impact of agri-environmental payments on nutrient runoff using a unique combination of data," Land Use Policy, Elsevier, vol. 75(C), pages 388-398.
    2. Irmak, S. & Sandhu, R. & Kukal, M.S., 2022. "Multi-model projections of trade-offs between irrigated and rainfed maize yields under changing climate and future emission scenarios," Agricultural Water Management, Elsevier, vol. 261(C).
    3. Fleming, Patrick & Lichtenberg, Erik & Newburn, David A., 2018. "Evaluating impacts of agricultural cost sharing on water quality: Additionality, crowding In, and slippage," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 1-19.
    4. Bullerjahn, George S. & McKay, Robert M. & Davis, Timothy W. & Baker, David B. & Boyer, Gregory L. & D'Anglada, Leslie V. & Doucette, Gregory J. & Ho, Jeff C. & Irwin, Elena G. & Kling, Catherine L. &, 2016. "Global solutions to regional problems: Collecting global expertise to address the problem of harmful cyanobacterial blooms. A Lake Erie case study," ISU General Staff Papers 201601010800001134, Iowa State University, Department of Economics.
    5. Chai, Yuan & Pannell, David J. & Pardey, Philip G., 2022. "Reducing Water Pollution from Nitrogen Fertilizer: Revisiting Insights from Production Economics," Staff Papers 320519, University of Minnesota, Department of Applied Economics.
    6. Schönhart, Martin & Trautvetter, Helene & Parajka, Juraj & Blaschke, Alfred Paul & Hepp, Gerold & Kirchner, Mathias & Mitter, Hermine & Schmid, Erwin & Strenn, Birgit & Zessner, Matthias, 2018. "Modelled impacts of policies and climate change on land use and water quality in Austria," Land Use Policy, Elsevier, vol. 76(C), pages 500-514.
    7. Chuan Tang & Yifeng Guo & Lian Feng, 2025. "Quantifying the Water Quality Impacts of Cropland Farming in China: A Satellite Data Approach," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(3), pages 958-989, May.
    8. Xu, Yuelu & Elbakidze, Levan & Yen, Haw & Arnold, Jeffrey G. & Gassman, Philip W. & Hubbart, Jason & Strager, Michael P., 2022. "Integrated assessment of nitrogen runoff to the Gulf of Mexico," Resource and Energy Economics, Elsevier, vol. 67(C).
    9. Choi, Eseul & DePaula, Guilherme & Kyveryga, Peter & Fey, Suzanne, 2024. "The Trade-off between Yield and Nitrogen Pollution under Excessive Rainfall: Evidence from On-farm Field Experiments in Iowa," ISU General Staff Papers 202402222018560000, Iowa State University, Department of Economics.
    10. Fleming, Patrick & Lichtenberg, Erik & Newburn, David A., 2015. "Agricultural Cost Sharing and Conservation Practices for Nutrient Reduction in the Chesapeake Bay Watershed," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205762, Agricultural and Applied Economics Association.
    11. Keith E. Schilling & Jerry Mount & Kelly M. Suttles & Eileen L. McLellan & Phillip W. Gassman & Michael J. White & Jeffrey G. Arnold, 2023. "An Approach for Prioritizing Natural Infrastructure Practices to Mitigate Flood and Nitrate Risks in the Mississippi-Atchafalaya River Basin," Land, MDPI, vol. 12(2), pages 1-24, January.

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