4.6 Article

Drainage Ratio Controls Phytoplankton Abundance in Urban Lakes

期刊

WATER
卷 15, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/w15040683

关键词

urban lake; eutrophication; phytoplankton biomass; phytoplankton diversity; drainage ratio

向作者/读者索取更多资源

This study explored the water quality of 14 lakes in Wuhan City, China, and the factors associated with it. Among the surveyed lakes, 92.9% were eutrophic or hypereutrophic. Phytoplankton biomass was positively correlated with drainage ratio values. Small lakes with a large watershed area generally exhibit high levels of areal nutrient accumulation, supporting phytoplankton growth.
Urban lakes located in densely populated regions are highly vulnerable freshwater ecosystems compared to lakes in rural areas due to intense anthropogenic activities. However, the impacts of intrinsic lake morphometry on the water quality of urban lakes remain unclear. In the present study, the water quality of 14 lakes and the underlying factors associated with such quality were explored in Wuhan City, China. Of these surveyed urban lakes, 92.9% were eutrophic or hypereutrophic; phytoplankton biomass ranged between 3.2 and 62.0 mg/L and was positively correlated with drainage ratio values (catchment area/lake area) during the phytoplankton bloom season. These results are consistent with the fact that small lakes associated with a large watershed area generally exhibit high levels of areal nutrient accumulation that rise with the drainage ratio, supporting phytoplankton growth. There were no significant differences in phytoplankton diversity among lakes (p > 0.05), remaining stable at the low Shannon index of 1.9-2.9, which is possibly due to high eutrophication pressure and similar local climatic conditions across the relatively limited study area. Overall, the results of this study will provide a valuable foundation for future efforts to improve water quality management efforts for urban lakes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据