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Influence of Seasonal Water Level Fluctuations on Food Web Structure of a Large Floodplain Lake in China

Author

Listed:
  • Huan Zhang

    (School of Life Sciences, Nanchang University, Nanchang 330031, China)

  • Yuyu Wang

    (School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China)

  • Jun Xu

    (Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China)

Abstract

Seasonal shifts in hydrology are known to alter the abundance and diversity of basal production resources and habitats and hence strongly influence the structure and function of river ecosystems. However, equivalent knowledge of natural lake ecosystems in floodplain regions is lacking. Here, we used stable isotope ratios of carbon and nitrogen to assess available primary production sources and consumer taxa during the dry and wet seasons in a large floodplain lake connected to the Yangtze River. Fish species showed distinct δ 13 C values between two hydrological periods but only small changes in δ 15 N values. Most of the fish species had higher estimated trophic levels in the dry season, likely indicating greater carnivory. Results of Bayesian mixing models revealed that benthic algae and benthic organic matter (BOM), combined with C 3 vegetation, were the principal food sources supporting the biomass of most fish species during the low-water period, whereas benthic algae and seston were the most important carbon sources during the flood period. Overall, these findings demonstrate that seasonal hydrological changes, such as water-level fluctuations, can affect the trophic structure and ecosystem functioning of floodplain lake food webs in the subtropical zone.

Suggested Citation

  • Huan Zhang & Yuyu Wang & Jun Xu, 2023. "Influence of Seasonal Water Level Fluctuations on Food Web Structure of a Large Floodplain Lake in China," Sustainability, MDPI, vol. 15(13), pages 1-12, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10724-:d:1189102
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    References listed on IDEAS

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    1. Andrew C. Parnell & Donald L. Phillips & Stuart Bearhop & Brice X. Semmens & Eric J. Ward & Jonathan W. Moore & Andrew L. Jackson & Jonathan Grey & David J. Kelly & Richard Inger, 2013. "Bayesian stable isotope mixing models," Environmetrics, John Wiley & Sons, Ltd., vol. 24(6), pages 387-399, September.
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