4.7 Article

Chlorophyll a variations and responses to environmental stressors along hydrological connectivity gradients: Insights from a large floodplain lake

期刊

ENVIRONMENTAL POLLUTION
卷 307, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2022.119566

关键词

Phytoplankton; Environmental stressors; Hydrological connectivity; Linear mixed model; Floodplain lake

资金

  1. National Natural Scientific Foundation of China [U2240219, 42071146, 41971137, U2240224]
  2. Science and Technology Department of Jiangxi Prov-ince [2021BBG71002, 20203CCD46006]

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This study examined the variations of Chlorophyll a (Chla) and its relationship with environmental stressors in Poyang Lake over an 11-year period. The results showed that hydrological connectivity had a significant impact on the environmental variables and the growth of phytoplankton in the lake. The study also identified different patterns of hydrological connectivity and their corresponding effects on Chla dynamics.
Understanding the key drivers of eutrophication in floodplain lakes has long been a challenge. In this study, the Chlorophyll a (Chla) variations and associated relationships with environmental stressors along the temporal hydrological connectivity gradient were investigated using a 11-year dataset in a large floodplain lake (Poyang Lake). A geostatistical method was firstly used to calculate the hydrological connectivity curves for each sampling campaign that was further classified by K-means technique. Linear mixed effect (LME) models were developed through the inclusion of the site as a random effect to identify the limiting factors of Chla variations. The results identified three clear hydrological connectivity variation patterns with remarkable connecting water area changes in Poyang Lake. Furthermore, hydrological connectivity changes exerted a great influence on environmental variables in Poyang Lake, with a decrease in nutrient concentrations as the hydrological connectivity enhanced. The Chla exhibited contrast variations with nutrient variables along the temporal hydrological connectivity gradient and generally depended on WT, DO, EC and TP, for the entire study period. Nevertheless, the relative roles of nutrient and non-nutrient variables in phytoplankton growth varied with different degrees of hydrological connectivity as confirmed by the LME models. In the low hydrological connectivity phase, the Chla dynamics were controlled only by water temperature with sufficient nutrients available. In the high hydrological connectivity phase, the synergistic influences of both nutrient and physical variables jointly limited the Chla dynamics. In addition, a significant increasing trend was observed for Chla variations from 2008 to 2018 in the HHC phase, which could largely be attributed to the elevated nutrient concentrations. This study confirmed the strong influences of hydrological connectivity on the nutrient and non-nutrient limitation of phytoplankton growth in floodplain lakes. The present study could provide new insights on the driving mechanisms underlying phytoplankton growth in floodplain lakes.

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