首页|Re-estimating China's lake CO2 flux considering spatiotemporal variability

Re-estimating China's lake CO2 flux considering spatiotemporal variability

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  • NETL
  • NSTL
  • 万方数据
The spatiotemporal variability of lake partial carbon dioxide pressure(pCO2)introduces uncertainty into CO2 flux estimates at the lake water-air interface.Knowing the variation pattern of pCO2 is important for obtaining accurate global estimation.Here we examine seasonal and trophic variations in lake pCO2 based on 13 field campaigns conducted in Chinese lakes from 2017 to 2021.We found significant seasonal fluctuations in pCO2,with decreasing values as trophic states intensify within the same region.Saline lakes exhibit lower pCO2 levels than freshwater lakes.These pCO2 dynamics result in variable areal CO2 emissions,with lakes exhibiting different trophic states(oligotrophication＞mesotrophication＞eutrophication)and saline lakes differing from freshwater lakes(-23.1±17.4 vs.19.3±18.3 mmol m-2 d-1).These spatiotemporal pCO2 variations complicate total CO2 emission estimations.Using area proportions of lakes with varying trophic states and salinity in China,we estimate China's lake CO2 flux at 8.07 Tg C yr-1.In future studies,the importance of accounting for lake salinity,seasonal dynamics,and trophic states must be noticed to enhance the accuracy of large-scale carbon emission estimates from lake ecosystems in the context of climate change.

Carbon dioxideEutrophicationSaline lakesOverestimationCarbon budget

Zhidan Wen、Yingxin Shang、Lili Lyu、Hui Tao、Ge Liu、Chong Fang、Sijia Li、Kaishan Song

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Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun,130102,China

School of Environment and Planning,Liaocheng University,Liaocheng,252000,China

吉林省自然科学基金Youth Innovation Promotion Association of Chinese Academy of Sciences,China国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金Young Scientist Group Project of Northeast Institute of Geography and Agroecology,Chinese Academy of SciencesScience and technology innovation cooperation project,Changchun,ChinaNational Earth System Science Data Center,China

20220203024SF202023442071336U224323042371390421013362023QNXZ0121SH10

2024

10.1016/j.ese.2023.100337

环境科学与生态技术(英文)

环境科学与生态技术(英文)

ISSN：
年,卷(期)：2024.19(3)
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