| 江汉平原长湖浮游植物初级生产力的季节性变化及其驱动因子 |
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| 引用本文： | 李学梅,刘璐,龚森森,孟子豪,胡飞飞,柴毅,杨德国.江汉平原长湖浮游植物初级生产力的季节性变化及其驱动因子[J].湖泊科学,2023,35(3):833-843. |
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| 作者姓名： | 李学梅 刘璐 龚森森 孟子豪 胡飞飞 柴毅 杨德国 |
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| 作者单位： | 中国水产科学研究院长江水产研究所, 农业农村部淡水生物多样性保护重点实验室, 武汉 430223;长江大学动物科学学院, 荆州 434025 |
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| 基金项目： | 国家重点研发计划项目（2019YFD0900603）、财政部和农业农村部国家现代农业产业技术体系专项资金（CARS-46）、中国水产科学研究院基本科研业务费（2020TD57）联合资助。 |
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| 摘 要： | 为探究长江中下游富营养化浅水湖泊的浮游植物初级生产力季节性演替特征及其驱动因子,本研究于2020年4月(春)、8月(夏)、10月(秋)及2021年1月(冬)对湖北长湖浮游植物进行采样调查,同时运用黑白瓶测氧法及VGPM模型估算法分别估算了其浮游植物生产力水平,并探究驱动初级生产力季节性变化的主要环境因子。结果显示,4个季节共鉴定出浮游植物194种,其中绿藻门(95种,49%)和硅藻门(40种,21%)居绝对优势地位;黑白瓶法测得浮游植物水柱总生产力(Pt)季节变化为:夏季((1841.24±345.93) mg C/(m2·d))>秋季((1324.14±208.34) mg C/(m2·d))>春季((847.50±247.72) mg C/(m2·d))>冬季((711.43±133.52) mg C/(m2·d)),其中M2站位在夏季采样时(2424.66 mg C/(m2·d))水柱总生产力最高;在垂直空间上,浮游植物总生产力(G...
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| 关 键 词： | 长湖 浮游植物生产力 叶绿素a 黑白瓶法 VGPM模型 |
| 收稿时间： | 2022/4/15 0:00:00 |
| 修稿时间： | 2022/6/24 0:00:00 |
Seasonal variation and driving factors of primary productivity of phytoplankton in Lake Changhu, Jianghan Plain |
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| Li Xuemei,Liu Lu,Gong Sensen,Meng Zihao,Hu Feifei,Chai Yi,Yang Deguo.Seasonal variation and driving factors of primary productivity of phytoplankton in Lake Changhu, Jianghan Plain[J].Journal of Lake Science,2023,35(3):833-843. |
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| Authors: | Li Xuemei Liu Lu Gong Sensen Meng Zihao Hu Feifei Chai Yi Yang Deguo |
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| Institution: | Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, P. R. China;Yangtze University, College of Animal Science, Jingzhou 434025, P. R. China |
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| Abstract: | In order to explore the spatiotemporal variation and driving factors of phytoplankton primary productivity in eutrophic lakes in the middle and lower reaches of Yangtze River, field work and bottling experiments were conducted in April 2020 (spring), August 2020 (summer), October 2020 (autumn) and January 2021 (winter) in Lake Changhu, Hubei Province, while VGPM model was used to estimate the phytoplankton primary productivity (PPeu). The main environmental factors driving the seasonal change of phytoplankton primary productivity were also explored. According to the results, 194 species of phytoplankton were identified and phyla Chlorophyta (95 species, 49%) and Bacillariophyta (40 species, 21%) were dominant. The total productivity (Pt) value of water column changed as follows:summer ((1841.24±345.93) mg C/(m2·d)) > autumn ((1324.14±208.34) mg C/(m2·d)) > spring ((847.50±247.72) mg C/(m2·d)) >winter ((711.43±133.52) mg C/(m2·d)). The highest value of which was (2424.66 mg C/(m2·d)) at site M2 in summer, while the value of total productivity (GPP) and net productivity (NPP) of phytoplankton gradually decreased with the increase of water depth. The seasonal distribution of PPeu estimated by VGPM model was autumn ((3713.18±900.30) mg C/(m2·d))>summer ((2643.62±1062.48) mg C/(m2·d))>spring ((2477.13±669.75) mg C/(m2·d))>winter ((708.07±390.4) mg C/(m2·d)), and the trend characteristics of spatial distribution showed Haizihu district>Mahongtai district>Yuanxinhu district. The Spearman correlation between primary productivity measured by bottling experiments and VGPM model (Pt and PPeu) was significant with a coefficient of 88.2%. They both were highly correlated with phytoplankton density and chlorophyll-a (Chl.a). Multiple stepwise regression analysis showed that PPeu was mainly influenced by Chl.a, water temperature (WT), pH, total suspended solid and nitrite while Pt can be predicted by conductivity, WT and dissolved oxygen. These data would lay a foundation for the assessment of lake eutrophication and fishery production potential in the middle and lower reaches of the Yangtze River. |
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| Keywords: | Lake Changhu phytoplankton primary productivity chlorophyll-a black and white bottle VGPM model |
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