Investigating the differences in driving mechanisms for phytoplankton community composition under various human disturbances in cold regions

Zhang, Yongxin; Yu, Hongxian; Liu, Jiamin; Guo, Yao

doi:10.1016/j.jclepro.2024.142686

Journal of Cleaner Production

2024

DOI: 10.1016/j.jclepro.2024.142686

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Investigating the differences in driving mechanisms for phytoplankton community composition under various human disturbances in cold regions

Yongxin Zhang,

Hongxian Yu,

Jiamin Liu

et al.

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2024

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The Driving Mechanism of Phytoplankton Resource Utilization Efficiency Variation on the Occurrence Risk of Cyanobacterial Blooms

Zhang,

Yu,

Liu

et al. 2024

Microorganisms

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Algae are highly sensitive to environmental factors, especially nutrient fluctuations; excessive nutrients can lead to the proliferation of specific algae species, resulting in dominance. In this study, we aimed to reevaluate changes in algal dominance from the perspective of resource utilization efficiency (RUE). We established 80 monitoring sites across different water systems, collecting water and phytoplankton samples. Using canonical correspondence analysis (CCA) and a generalized additive model (GAM), we analyzed the correlation between phytoplankton RUE and nutrient concentrations, quantifying the corresponding relationship between algal dominance and RUE. Our results indicate a significant negative correlation between the RUE of total phosphorus (TP) and total nitrogen (TN) concentration, but a positive correlation with N:P. The RUE of TN was negatively correlated with TN concentration and N:P. We constructed GAMs with interaction terms and confirmed a nonlinear relationship between algal dominance and RUE. When the RUE of TN was low, a positive correlation was observed, while a negative correlation was observed otherwise. These findings reveal the ecological adaptability of algal communities and provide valuable insights for predicting the risk of algal bloom outbreaks.

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The Driving Mechanism of Phytoplankton Resource Utilization Efficiency Variation on the Occurrence Risk of Cyanobacterial Blooms

Zhang,

Yu,

Liu

et al. 2024

Microorganisms

View full text Add to dashboard Cite

show abstract

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Investigating the differences in driving mechanisms for phytoplankton community composition under various human disturbances in cold regions

Cited by 1 publication

References 61 publications

The Driving Mechanism of Phytoplankton Resource Utilization Efficiency Variation on the Occurrence Risk of Cyanobacterial Blooms

The Driving Mechanism of Phytoplankton Resource Utilization Efficiency Variation on the Occurrence Risk of Cyanobacterial Blooms

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