Impacts of Temperature and Nutrient Dynamics on Phytoplankton in a Lake: A Case Study of Wuliangsuhai Lake, China

Xinyu Hao, Xiaohong Shi (), Shengnan Zhao, Haifeng Yu, Ruli Kang, Yue Han, Yue Sun and Shihuan Wang
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Xinyu Hao: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Xiaohong Shi: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Shengnan Zhao: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Haifeng Yu: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Ruli Kang: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Yue Han: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Yue Sun: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
Shihuan Wang: Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China

Sustainability, 2024, vol. 16, issue 24, 1-15

Abstract: Climate change and eutrophication have significant impacts on aquatic ecosystems, with phytoplankton playing a critical role as primary producers. This study investigates the relationships between phytoplankton communities and environmental and meteorological factors in Wuliangsuhai Lake, a representative ecosystem in an arid and cold region of China. Using data from 25 sampling sites (April–September 2023), a generalized additive model (GAM) was employed to analyze water quality and laboratory measurements. The results showed a bimodal distribution of phytoplankton density, with peaks in July (5.33 × 10 6 cells/L) and August (14.90 × 10 6 cells/L). Green algae dominated in spring, while cyanobacteria became dominant in summer. GAM analysis revealed that temperature (TEMP) was the primary driver, explaining 20.7% of the deviance. When TEMP was examined together with other factors, the explanatory ability of the model was significantly enhanced, and finally, the model explained 57.10% of the deviance. GAM analysis also revealed that different algae species responded differently to environmental factors, with the cyanophyta-dominant species Pseudoalgae being more sensitive to TEMP and pH, whereas the chlorophyta-dominant species Chlorella was more affected by wind speed and salinity. Cyanobacteria dominance, exacerbated by warming, increases the risks of harmful algae blooms and ecosystem instability, highlighting the need for mitigation strategies in vulnerable freshwater ecosystems.

Keywords: arid and cold region; climate change; ecological degradation; phytoplankton; Wuliangsuhai Lake (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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