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Spatiotemporal patterns and drivers of phytoplankton primary productivity in China's lakes and reservoirs at a national scale

文献类型：期刊论文

作者Sun, Kun; Deng, Wanqian1; Jia, Junjie1; Gao, Yang1
刊名GLOBAL AND PLANETARY CHANGE
出版日期2023-09-01
卷号228页码:104215
ISSN号0921-8181
关键词Phytoplankton Primary productivity Carbon cycle Vertically generalized production model Inland water
DOI10.1016/j.gloplacha.2023.104215
产权排序1
文献子类Article
英文摘要Phytoplankton primary productivity (PP) plays an important carbon (C) balance role in aquatic ecosystems. In China, although phytoplankton PP and affiliated environmental controlling factors have been widely studied in various lake systems, most relevant studies have only focused on individual lakes. As the absence of long-term and large-scale phytoplankton PP measurements, there still exists a large knowledge gap on the spatiotemporal patterns and drivers of phytoplankton PP in China's lakes and reservoirs at a national scale. This study evaluated the spatiotemporal dynamics of phytoplankton PP and the carbon sequestration capacity (CSC) of China's lakes and reservoirs nationwide by building a vertically generalized production model (VGPM) based on long-term in situ water quality monitoring data. Generally, the seasonal pattern of phytoplankton PP was higher in spring and summer and lower in autumn and winter. Annual phytoplankton CSC was estimated at 18.69 & PLUSMN; 10.7 Tg C yr  1, nearly half of which derives from lakes and reservoirs in China's continental basin and the Yangtze River basin. The relative contributions of 11 potential environmental variables to spatiotemporal changes in phytoplankton PP were quantified in China's nine prominent basins based on multivariate generalized linear model (GLM) regression analysis. Of these 11 potential driving factors, chlorophyll content, nitrogen (N) and phosphorus (P), and turbidity were determined to be the major drivers of phytoplankton PP. This study provides the first national scale estimate of phytoplankton PP in China's lakes and reservoirs, which will help us better understand aquatic-based ecosystem C budgets throughout the entire country.
学科主题Physical Geography ; Geology
WOS关键词CARBON SEQUESTRATION ; NUTRIENT LIMITATION ; DYNAMICS ; TURBIDITY ; SHALLOW ; CLIMATE ; WATERS ; LIGHT
WOS研究方向Physical Geography ; Geology
出版者ELSEVIER
WOS记录号WOS:001067902500001
源URL[http://ir.igsnrr.ac.cn/handle/311030/197882]  
专题生态系统网络观测与模拟院重点实验室_外文论文
作者单位1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Kun,Deng, Wanqian,Jia, Junjie,et al. Spatiotemporal patterns and drivers of phytoplankton primary productivity in China's lakes and reservoirs at a national scale[J]. GLOBAL AND PLANETARY CHANGE,2023,228:104215.
APA Sun, Kun,Deng, Wanqian,Jia, Junjie,&Gao, Yang.(2023).Spatiotemporal patterns and drivers of phytoplankton primary productivity in China's lakes and reservoirs at a national scale.GLOBAL AND PLANETARY CHANGE,228,104215.
MLA Sun, Kun,et al."Spatiotemporal patterns and drivers of phytoplankton primary productivity in China's lakes and reservoirs at a national scale".GLOBAL AND PLANETARY CHANGE 228(2023):104215.

入库方式： OAI收割

来源：地理科学与资源研究所

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