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An Approach for Prioritizing Natural Infrastructure Practices to Mitigate Flood and Nitrate Risks in the Mississippi-Atchafalaya River Basin

Author

Listed:
  • Keith E. Schilling

    (IIHR-Hydroscience & Engineering, University of Iowa, Iowa City, IA 52242, USA)

  • Jerry Mount

    (IIHR-Hydroscience & Engineering, University of Iowa, Iowa City, IA 52242, USA)

  • Kelly M. Suttles

    (Environmental Defense Fund, Raleigh, NC 27607, USA)

  • Eileen L. McLellan

    (Environmental Defense Fund, Washington, DC 20009, USA)

  • Phillip W. Gassman

    (Center for Rural and Agricultural Development, Iowa State University, Ames, IA 50011, USA)

  • Michael J. White

    (Grassland Soil and Water Research Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Temple, TX 76502, USA)

  • Jeffrey G. Arnold

    (Grassland Soil and Water Research Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Temple, TX 76502, USA)

Abstract

Risks from flooding and poor water quality are evident at a range of spatial scales and climate change will exacerbate these risks in the future. Natural infrastructure (NI), consisting of structural or perennial vegetation, measures that provide multiple ecosystem benefits have the potential to reduce flood and water quality risks. In this study, we intersected watershed-scale risks to flooding and nitrate export in the Mississippi-Atchafalaya River Basin (MARB) of the central U.S. with potential locations of seven NI practices (row crop conversion, water, and sediment control basins, depressional wetlands, nitrate-removal wetlands, riparian buffers, and floodplain levees and row crop change) to prioritize where NI can be most effective for combined risk reduction at watershed scales. Spatial data from a variety of publicly-available databases were analyzed at a 10 m grid cell to locate NI practices using a geographic information system (GIS). NI practices were presented at the regional basin scale and local Iowa-Cedar watershed in eastern Iowa to show individual practice locations. A prioritization scheme was developed to show the optimal watersheds for deploying NI practices to minimize flooding and water quality risks in the MARB. Among the 84 HUC4 basins in the MARB, 28 are located in the Upper Mississippi and Ohio Rivers basins. The Wabash and Iowa-Cedar basins (HUCs 0512 and 0708, respectively) within these basins were found to rank among the uppermost quintile for nearly all practices evaluated, indicating widespread opportunities for NI implementation. Study results are a launching point from which to improve the connections between watershed scale risks and the potential use of NI practices to reduce these risks.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:276-:d:1040112
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    References listed on IDEAS

    as
    1. Samuel E. Munoz & Liviu Giosan & Matthew D. Therrell & Jonathan W. F. Remo & Zhixiong Shen & Richard M. Sullivan & Charlotte Wiman & Michelle O’Donnell & Jeffrey P. Donnelly, 2018. "Climatic control of Mississippi River flood hazard amplified by river engineering," Nature, Nature, vol. 556(7699), pages 95-98, April.
    2. 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.
    3. Gregory F. McIsaac & Mark B. David & George Z. Gertner & Donald A. Goolsby, 2001. "Nitrate flux in the Mississippi River," Nature, Nature, vol. 414(6860), pages 166-167, November.
    4. Erica Gaddis & Alexey Voinov & Ralf Seppelt & Donna Rizzo, 2014. "Spatial Optimization of Best Management Practices to Attain Water Quality Targets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(6), pages 1485-1499, April.
    5. Pinter, Nicholas & Huthoff, Fredrik & Dierauer, Jennifer & Remo, Jonathan W.F. & Damptz, Amanda, 2016. "Modeling residual flood risk behind levees, Upper Mississippi River, USA," Environmental Science & Policy, Elsevier, vol. 58(C), pages 131-140.
    6. Kousky, Carolyn & Walls, Margaret, 2014. "Floodplain conservation as a flood mitigation strategy: Examining costs and benefits," Ecological Economics, Elsevier, vol. 104(C), pages 119-128.
    7. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
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