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Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs

Author

Listed:
  • Santosh R. Ghimire

    (U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA 30605, USA)

  • Adam C. Nayak

    (Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA)

  • Joel Corona

    (U.S. Environmental Protection Agency, Office of Water, Washington, DC 20460, USA)

  • Rajbir Parmar

    (U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA 30605, USA)

  • Raghavan Srinivasan

    (Department of Ecology and Conservation Biology, Texas A&M University, Temple, TX 76502, USA)

  • Katie Mendoza

    (Department of Ecology and Conservation Biology, Texas A&M University, Temple, TX 76502, USA)

  • John M. Johnston

    (U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA 30605, USA)

Abstract

Riparian buffer zones (RBZs) have been shown to be effective best management practices (BMPs) in controlling non-point source pollutants in waterbodies. However, the holistic sustainability assessment of individual RBZ designs is lacking. We present a methodology for evaluating the holistic sustainability of RBZ policy scenarios by integrating environmental and economic indicators simulated in three watersheds in the southeastern USA. We developed three unique sets of 40, 32, and 48 RBZ policy scenarios as decision management objectives (DMOs), respectively, in Back Creek, Sycamore Creek, and Greens Mill Run watersheds (Virginia and North Carolina) by combining the RBZ—widths with vegetation types (grass, urban, naturalized, wildlife, three-zone forest, and two-zone forest). We adapted the RBZ—hydrologic and water quality system assessment data of instream water quality parameters (dissolved oxygen, total phosphorus, total nitrogen, total suspended solids—sediment and biochemical oxygen demand) as environmental indicators, recently published by U.S. EPA. We calculated 20-year net present value costs as economic indicators using the RBZ’s establishment, maintenance, and opportunity costs data published by the Natural Resources Conservation Service. The mean normalized net present value costs varied by DMOs ranging from 4% (grass RBZ—1.9 m) to 500% (wildlife RBZ—91.4 m) across all watersheds, due primarily to the width and the opportunity costs. The mean normalized environmental indicators varied by watersheds, with the largest change in total nitrogen due to urban RBZs in Back Creek (60–95%), Sycamore Creek (37–91%), and Greens Mill (52–93%). The holistic sustainability assessments revealed the least to most sustainable DMOs for each watershed, from least sustainable wildlife RBZ (score of 0.54), three-zone forest RBZ (0.32), and three-zone forest RBZ (0.62), respectively, for Back Creek, Sycamore Creek, and Greens Mill, to most sustainable urban RBZ (1.00) for all watersheds.

Suggested Citation

  • Santosh R. Ghimire & Adam C. Nayak & Joel Corona & Rajbir Parmar & Raghavan Srinivasan & Katie Mendoza & John M. Johnston, 2022. "Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs," Sustainability, MDPI, vol. 14(19), pages 1-33, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12278-:d:926920
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    References listed on IDEAS

    as
    1. Zhang, Bing & Bi, Jun & Fan, Ziying & Yuan, Zengwei & Ge, Junjie, 2008. "Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(1-2), pages 306-316, December.
    2. David C. Roberts & Christopher D. Clark & Burton C. English & William M. Park & Roland K. Roberts, 2009. "Estimating Annualized Riparian Buffer Costs for the Harpeth River Watershed," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(4), pages 894-913.
    3. Bonham, John G. & Bosch, Darrell J. & Pease, James W., 2006. "Cost-Effectiveness of Nutrient Management and Buffers: Comparisons of Two Spatial Scenarios," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(1), pages 1-16, April.
    4. Santosh R. Ghimire & Joel Corona & Rajbir Parmar & Gouri Mahadwar & Raghavan Srinivasan & Katie Mendoza & John M. Johnston, 2021. "Sensitivity of Riparian Buffer Designs to Climate Change—Nutrient and Sediment Loading to Streams: A Case Study in the Albemarle-Pamlico River Basins (USA) Using HAWQS," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
    5. Timo Kuosmanen & Mika Kortelainen, 2005. "Measuring Eco‐efficiency of Production with Data Envelopment Analysis," Journal of Industrial Ecology, Yale University, vol. 9(4), pages 59-72, October.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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