[Change Patterns and Driving Factors of Phytoplankton Communities in Typical Lakes in the Eastern Lake Region].

Q2 Environmental Science
Jie Liu, Jian-Ming Deng, Yong-Jiu Cai, Zhi-Jun Gong, Xiang-Ming Tang
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引用次数: 0

Abstract

The Eastern Lake Region is the most eutrophic in China and is most affected by human activities. In recent years, phytoplankton have proliferated in most lakes in the lake region, with the frequent occurrence of water blooms, and the driving mechanisms and spatial differences for long-term changes in the phytoplankton community of lakes at the regional scale remain unclear. Among them, Lake Taihu, Lake Hongze, and Lake Luoma are located in the Yangtze River Economic Zone and have important ecological functions such as storage, drinking water, and irrigation. They are greatly affected by human activities and are typical lakes in the Eastern Lake Region. We used hydro-meteorological data, physical and chemical index data, and phytoplankton biomass data from 2016 to 2021 to study the phytoplankton community changes in typical lakes in the Eastern Lake Region based on redundancy analysis and combined hierarchical partitioning and variance decomposition to identify the main drivers of phytoplankton community changes. The results showed that the long-term trends of climate background were generally consistent among typical lakes in the Eastern Lake Region, but their nutrients, phytoplankton community, and environmental driving factors were different. The dominant phytoplankton phyla and genera in Lake Taihu, Lake Hongze, and Lake Luoma were significantly different. The lake characteristic, mainly characterized by water depth, was the main driving factor that led to spatial differences in phytoplankton communities among typical lakes in different seasons. The explanatory rates of water depth in spring, summer, autumn, and winter were 46.32%, 30.79%, 26.92%, and 35.80%, respectively. However, the secondary driving factors had seasonal differences. Among them, in spring, the secondary driving factors were conductivity (13.48%) and total nitrogen (12.74%). In summer, the secondary driving factors were total phosphorus (19.02%) and conductivity (14.71%). In autumn, the secondary driving factors were total phosphorus (19.43%) and dissolved total nitrogen (15.86%). In winter, the secondary driving factors were total phosphorus (23.53%) and the daily minimum temperature (14.91%). Quantifying the contribution of different drivers was important for future lake eutrophication management and policy formulation.

[东部湖区典型湖泊浮游植物群落变化格局及驱动因素]。
东湖地区是中国富营养化程度最高、受人类活动影响最大的地区。近年来,湖区大部分湖泊浮游植物大量繁殖,水华频繁发生,区域尺度湖泊浮游植物群落长期变化的驱动机制和空间差异尚不清楚。其中,太湖、洪泽湖、骆马湖位于长江经济带,具有蓄水、饮用、灌溉等重要生态功能。受人类活动影响较大,是东湖地区的典型湖泊。利用2016 - 2021年水文气象数据、理化指标数据和浮游植物生物量数据,基于冗余分析和层次划分与方差分解相结合的方法,对东湖典型湖泊浮游植物群落变化进行研究,找出浮游植物群落变化的主要驱动因素。结果表明:东湖地区各典型湖泊气候背景的长期变化趋势基本一致,但其营养成分、浮游植物群落和环境驱动因子存在差异。太湖、洪泽湖和罗马湖的优势浮游植物门属差异显著。以水深为主要特征的湖泊特征是导致不同季节典型湖泊浮游植物群落空间差异的主要驱动因素。春、夏、秋、冬水深的解释率分别为46.32%、30.79%、26.92%和35.80%。次要驱动因素存在季节差异。其中,春季的二次驱动因子为电导率(13.48%)和总氮(12.74%)。夏季的次驱动因子为总磷(19.02%)和电导率(14.71%)。秋季次生驱动因子为总磷(19.43%)和溶解总氮(15.86%)。冬季的次驱动因子为总磷(23.53%)和日最低气温(14.91%)。量化不同驱动因素对湖泊富营养化的贡献对未来湖泊富营养化管理和政策制定具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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