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Identifying the main drivers of change of phytoplankton community structure and gross primary productivity in a river-lake system

Research output: Contribution to journalArticle

  • Junjie Jia
  • Yang Gao
  • Feng Zhou
  • Kun Shi
  • Penny J Johnes
  • Jennifer A. J. Dungait
  • Mingzhen Ma
  • Yao Lu
Original languageEnglish
Article number124633
Number of pages13
JournalJournal of Hydrology
Volume583
Early online date30 Jan 2020
DOIs
DateAccepted/In press - 26 Jan 2020
DateE-pub ahead of print - 30 Jan 2020
DatePublished (current) - 1 Apr 2020

Abstract

The management of river-lake systems is hindered by limitations in the applicability of existing models that describe the relationship between environmental factors and phytoplankton community characteristics but rarely include common and indirect effects on algae dynamics. In this study, we assumed that the interaction of light, water, temperature, pH, and nutrients, including direct and indirect effects, are the potential factors affecting phytoplankton dynamics. We determined which of these are the main drivers of phytoplankton community structure and production in a river-lake system by using three different models based on the partial least squares structural equation modeling method. Our results indicated that the models achieved more than 60% of the overall explanatory power of various environmental factors on phytoplankton characteristics, including indirect and direct effects. In particular, light, pH, and nutrient content and ratios commonly control phytoplankton dynamic characteristics rather than a single nutrient, but light is the main driving force of phytoplankton community characteristics. Controlling the underwater light conditions, and nitrogen and phosphorus pollution load could effectively regulate algal blooms, increase productivity, promote ecological balance, and reduce water pollution. Our findings provide a scientific and theoretical basis for water resource management and pollution control.

    Research areas

  • phytoplankton community, gross primary productivity, biodiversity, environmental factor, Poyang Lake

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  • Full-text PDF (author’s accepted manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://www.sciencedirect.com/science/article/pii/S0022169420300937 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.97 MB, PDF document

    Embargo ends: 30/01/22

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    Licence: CC BY-NC-ND

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