4.7 Article

Response of planktonic diversity and stability to environmental drivers in a shallow eutrophic lake

Journal

ECOLOGICAL INDICATORS
Volume 144, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecolind.2022.109560

Keywords

Plankton diversity; Community stability; Lake Ulansuhai; Eutrophication; Structural equation model

Funding

  1. National Key Research and Development Program of China
  2. National Natural Science Foundation of China
  3. Major Science and Technology Project of Inner Mongolia Autonomous Region
  4. Open Project Program of the Ministry of Education Key Laboratory of Ecology and Resources Use of the Mon- golian Plateau
  5. [2021YFC3201203]
  6. [51869014]
  7. [2020ZD0009]
  8. [KF2020006]

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This study evaluates the relative importance of different environmental factors on the diversity and stability of plankton communities in shallow eutrophic lakes in China. The results show that physical and chemical indicators, nutritional parameters, and light effects have a significant impact on zooplankton community dynamics, while physical and chemical parameters have the greatest influence on phytoplankton community composition.
Plankton is an important component of a healthy shallow lake aquatic system, and the diversity and stability of its community structure are impacted by numerous environmental factors. However, knowledge about the relative importance of these factors is limited. This study presents a case study conducted in semi-arid, shallow eutrophic lakes in China to evaluate the relative importance of physical, chemical, and nutritional characteristics of water quality and light effects on the spatiotemporal distributions of diversity and stability of plankton communities. The findings showed that the plankton community was the least diverse in winter and the most stable during the spring-to-summer transition. The results of partition variation showed that physical and chemical indicators, nutritional parameters, and light effects explained >70 % of the zooplankton community dynamics, compared with 37 % for phytoplankton. For phytoplankton community composition, physical and chemical parameters, followed by light, had the greatest influence. Further analysis showed that phytoplankton were influenced primarily by nutrients, water depth, and pH. Similarly, the diversity and stability of the zooplankton exhibited physical and chemical parameter responses, and the influence of nutrients also played a significant role. Structural equation modelling showed that light had minimal direct effect on the plankton and affected the plankton indirectly through changes in total nitrogen and NO3-N. This study estimates the distri-bution of plankton community in a shallow eutrophic lake, quantifying the relative effects of different envi-ronmental drivers on plankton diversity and stability, and provides an in-depth understanding for improving the lake water quality and controlling nutrients pollution.

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