Long-term Variation Characteristics of Zooplankton Community Structure in Meiliang Bay, Lake Taihu

被引:0
|
作者
Yang, Jia [1 ,2 ]
Zhou, Jian [2 ]
Qin, Bo-Qiang [2 ]
Quan, Qiu-Mei [1 ]
Li, Yun-Xiang [1 ]
机构
[1] College of Environmental Science and Engineering, China West Normal University, Nanchong,637002, China
[2] State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing,210008, China
来源
Huanjing Kexue/Environmental Science | 2020年 / 41卷 / 03期
关键词
Ecosystems - Eutrophication - Lakes - Correlation methods - Monitoring;
D O I
10.13227/j.hjkx.201907054
中图分类号
学科分类号
摘要
Zooplankton, as an important part of the water food chain, plays an important role in lake ecosystems. It is an important monitoring indicator for water bodies. However, due to the lack of long-term monitoring data of zooplankton community structure, there is a lack of understanding about its long-term characteristics. Based on monthly monitoring data from 1997 to 2017 of Meiliang Bay in Lake Taihu, the long-term trends of zooplankton community structure and its relation to the environment were examined. The results showed that the abundance and biomass of zooplankton in Meiliang Bay significantly decreased from 1997 to 2017 (P-1 and 25.64 mg•L-1, respectively, in September. In the summer, their changes were the opposite. Pearson correlation analysis showed that zooplankton community structure was significantly related to water physical characteristics (alkalinity, electrical conductivity, water depth, suspended substance, and water temperature), chlorophyll a, and nitrogen (P © 2020, Science Press. All right reserved.
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页码:1246 / 1255
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