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Modeling the lateral variation of bottom-attached algae in rivers

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  • Flynn, Kyle F.
  • Chapra, Steven C.
  • Suplee, Michael W.

Abstract

The lateral distribution of benthic algae in flowing waters is an overlooked but important component of river water-quality management. A number of workers have described the spatially variable structure of bottom algae in the field, yet rarely has it been reproduced using mechanistic models. In this study, we develop a simple numerical model that describes lateral biomass accrual of bottom-attached algae in rivers and illustrate how gradients in light through the water column can be an important consideration in nutrient regulatory management. We then present a comparison of simulated and observed results on the Yellowstone River in the northern United States where the model was applied to compute maximum steady-state biomass. Following calibration to site-specific data, algal simulations yielded satisfactory outcomes with root mean square error and percent bias of 21.8mg chlorophyll am−2 and 51.9%, respectively for four different river transects totaling n=36 observations. The general distribution of periphyton was well-represented. In this regard, we suggest that the tool is useful for management of light-limited rivers where depth varies significantly across the channel. However, accumulations of filamentous algae and confounding effects such as velocity and substratum influence community spatial structure and warrant further investigation with respect to the proposed model.

Suggested Citation

  • Flynn, Kyle F. & Chapra, Steven C. & Suplee, Michael W., 2013. "Modeling the lateral variation of bottom-attached algae in rivers," Ecological Modelling, Elsevier, vol. 267(C), pages 11-25.
  • Handle: RePEc:eee:ecomod:v:267:y:2013:i:c:p:11-25
    DOI: 10.1016/j.ecolmodel.2013.07.011
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    References listed on IDEAS

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    1. Park, Richard A. & Clough, Jonathan S. & Wellman, Marjorie Coombs, 2008. "AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems," Ecological Modelling, Elsevier, vol. 213(1), pages 1-15.
    2. Christopher A. Klausmeier & Elena Litchman & Tanguy Daufresne & Simon A. Levin, 2004. "Optimal nitrogen-to-phosphorus stoichiometry of phytoplankton," Nature, Nature, vol. 429(6988), pages 171-174, May.
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    Cited by:

    1. Sinha, Sumit, 2017. "Transient evolution of suspended and benthic algae in a riverine ecosystem: A numerical study," Ecological Modelling, Elsevier, vol. 348(C), pages 78-92.

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