Scholarlink

<p>Microcystins (MCs) threaten aquatic ecosystems and public health. While ecological drivers are well-studied, macroeconomic influences remain poorly understood. We introduced a novel Frequency-Microcystin (F-MC) index, integrating concentration and spatial prevalence, to assess risk in the Yangtze River Economic Belt. Correlation analysis identified the secondary industry workforce as the strongest correlate of the F-MC index (Kendall’s τ = 0.670, <i>p</i> &lt; 0.01). Stepwise regression further revealed it as the sole dominant predictor, explaining 74.2% of its variance (<i>p</i> &lt; 0.001). In contrast, primary industry indicators and key physicochemical factors showed no significant predictive power. Our findings demonstrate that the industrial workforce is a paramount driver of MC pollution, eclipsing traditional limnological parameters and underscoring the need for macroeconomic regulation in water quality management.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Economic Drivers of Microcystin Dynamics in Lakes of the Middle and Lower Reaches of the Yangtze River, China

  • 期刊论文

  • 发表日期：

    2026年5月23日

查看全文
  • Shikai Wu,
  • Liang Chen,
  • Yubin Xing,
  • Jia Qin,
  • Ping Xie

摘要

Microcystins (MCs) threaten aquatic ecosystems and public health. While ecological drivers are well-studied, macroeconomic influences remain poorly understood. We introduced a novel Frequency-Microcystin (F-MC) index, integrating concentration and spatial prevalence, to assess risk in the Yangtze River Economic Belt. Correlation analysis identified the secondary industry workforce as the strongest correlate of the F-MC index (Kendall’s τ = 0.670, p < 0.01). Stepwise regression further revealed it as the sole dominant predictor, explaining 74.2% of its variance (p < 0.001). In contrast, primary industry indicators and key physicochemical factors showed no significant predictive power. Our findings demonstrate that the industrial workforce is a paramount driver of MC pollution, eclipsing traditional limnological parameters and underscoring the need for macroeconomic regulation in water quality management.