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A model for evaluation of sediment exposure and burial for freshwater mussels from heavy particle sedimentation

Author

Listed:
  • Wang, Binbin
  • Sansom, Brandon J.
  • Zhu, Wenyu
  • Kunz, James
  • Barnhart, M. Christopher
  • Brown, Henry
  • McMurray, Stephen
  • Roberts, Andrew D.
  • Shulse, Christopher
  • Knerr, Caleb J.
  • Trauth, Kathleen
  • Steevens, Jeffery A.
  • Deng, Baolin

Abstract

Freshwater mussels (Bivalvia: Unionida) are an ecologically important faunal group. Excessive sediments, both in suspended and deposited formats, are believed to have negative effects on survival of freshwater mussels. However, there is a lack of quantitative tools for assessing the impact of abrupt and excessive sedimentation on freshwater mussel habitats. This gap in knowledge poses challenges for construction planning that necessitates evaluating sedimentation effects on mussels. In this paper, we present a simple Lagrangian particle tracking (LPT) model designed to investigate the downstream distances from the sediment release point where mussels may face risks of sediment exposure and burial during episodic sedimentation events. We validated the model in predicting the deposition of sands ranging from 125 to 625μm in diameter within an open channel. Subsequently, we applied the LPT model to a representative stretch of mussel habitats in the lower Osage River, Missouri, USA. Implementing the LPT model using computational fluid dynamics analysis of river hydrodynamics, we investigated the downstream distances impacted by a hypothetical sedimentation event. The results indicate that the mussels within tens and hundreds of meters may be at risk of burial under low and high flow conditions, respectively. Mussels within hundreds and potentially thousands of meters may be at risks of sediment exposure under low and high flow conditions, respectively. The impacted distance is highly dependent on the sediment diameters and flow conditions. These results contribute valuable insights into the potential impacts of sedimentation on freshwater mussel habitats, aiding in informed decision-making for construction projects near these critical aquatic ecosystems.

Suggested Citation

  • Wang, Binbin & Sansom, Brandon J. & Zhu, Wenyu & Kunz, James & Barnhart, M. Christopher & Brown, Henry & McMurray, Stephen & Roberts, Andrew D. & Shulse, Christopher & Knerr, Caleb J. & Trauth, Kathle, 2024. "A model for evaluation of sediment exposure and burial for freshwater mussels from heavy particle sedimentation," Ecological Modelling, Elsevier, vol. 493(C).
    • Handle: RePEc:eee:ecomod:v:493:y:2024:i:c:s030438002400139x
    DOI: 10.1016/j.ecolmodel.2024.110751
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    References listed on IDEAS

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    1. Li, Geng & Elliott, Caroline M. & Call, Bruce C. & Chapman, Duane C. & Jacobson, Robert B. & Wang, Binbin, 2023. "Evaluations of Lagrangian egg drift models: From a laboratory flume to large channelized rivers," Ecological Modelling, Elsevier, vol. 475(C).
    2. Li, Geng & Wang, Binbin & Elliott, Caroline M. & Call, Bruce C. & Chapman, Duane C. & Jacobson, Robert B., 2022. "A three-dimensional Lagrangian particle tracking model for predicting transport of eggs of rheophilic-spawning carps in turbulent rivers," Ecological Modelling, Elsevier, vol. 470(C).
    3. Garcia, Tatiana & Jackson, P. Ryan & Murphy, Elizabeth A. & Valocchi, Albert J. & Garcia, Marcelo H., 2013. "Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers," Ecological Modelling, Elsevier, vol. 263(C), pages 211-222.
    4. Michael E. Kjelland & Christa M. Woodley & Todd M. Swannack & David L. Smith, 2015. "A review of the potential effects of suspended sediment on fishes: potential dredging-related physiological, behavioral, and transgenerational implications," Environment Systems and Decisions, Springer, vol. 35(3), pages 334-350, September.
    5. Keretz, Shay S. & Woolnough, Daelyn A. & Morris, Todd J. & Roseman, Edward F. & Zanatta, David T., 2024. "Habitat modelling of native freshwater mussels distinguishes river specific differences in the Detroit and St. Clair rivers of the Laurentian Great Lakes," Ecological Modelling, Elsevier, vol. 487(C).
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