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浮游植物资源利用效率变化对蓝藻水华发生风险的驱动机制

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

作者信息

Zhang Yongxin, Yu Yang, Liu Jiamin, Guo Yao, Yu Hongxian, Liu Manhong

机构信息

College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.

China Geological Survey Harbin Natural Resources Comprehensive Survey Center, Harbin 150081, China.

出版信息

Microorganisms. 2024 Aug 16;12(8):1685. doi: 10.3390/microorganisms12081685.

DOI:10.3390/microorganisms12081685
PMID:39203527
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11356996/
Abstract

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.

摘要

藻类对环境因素高度敏感,尤其是营养物质的波动;营养物质过多会导致特定藻类物种的增殖,从而形成优势地位。在本研究中,我们旨在从资源利用效率(RUE)的角度重新评估藻类优势地位的变化。我们在不同的水系统中建立了80个监测点,采集了水样和浮游植物样本。使用典范对应分析(CCA)和广义相加模型(GAM),我们分析了浮游植物RUE与营养物质浓度之间的相关性,量化了藻类优势地位与RUE之间的对应关系。我们的结果表明,总磷(TP)和总氮(TN)浓度的RUE之间存在显著负相关,但与N:P呈正相关。TN的RUE与TN浓度和N:P呈负相关。我们构建了带有交互项的GAM,并证实了藻类优势地位与RUE之间的非线性关系。当TN的RUE较低时,观察到正相关,否则观察到负相关。这些发现揭示了藻类群落的生态适应性,并为预测藻华爆发风险提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/110fa1c2fd30/microorganisms-12-01685-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/bacba368bb72/microorganisms-12-01685-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/0ec030e28039/microorganisms-12-01685-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/63aed33cb006/microorganisms-12-01685-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/110fa1c2fd30/microorganisms-12-01685-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/bacba368bb72/microorganisms-12-01685-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/0ec030e28039/microorganisms-12-01685-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/63aed33cb006/microorganisms-12-01685-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1010/11356996/110fa1c2fd30/microorganisms-12-01685-g004.jpg

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Analysis of water quality and the response of phytoplankton in the low-temperature environment of Majiagou Urban River, China.中国马家沟城市河流低温环境下的水质分析及浮游植物响应
Heliyon. 2024 Feb 9;10(4):e25955. doi: 10.1016/j.heliyon.2024.e25955. eCollection 2024 Feb 29.
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Effects of Aquatic Plant Coverage on Diversity and Resource Use Efficiency of Phytoplankton in Urban Wetlands: A Case Study in Jinan, China.
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Hot summers raise public awareness of toxic cyanobacterial blooms.炎热的夏季提高了公众对有毒蓝藻水华的认识。
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