摘要
The accurate determination of the carbon-neutrality capacity(CNC)of a region is crucial for developing policies related to emissions and climate change.However,a systematic diagnostic method for determining the CNC that considers the rock chemical weathering carbon sink(RCS)is lacking.Moreover,it is challenging but indispensable to establish a fast and practical index model to determine the CNC.Here,we selected Guizhou as the study area,used the methods for different types of carbon sinks,and constructed a CNC index(CNCI)model.We found that:(1)the carbonate rock chemical weathering carbon sink flux was 30.3 t CO_(2)km^(-2)yr^(-1).Guizhou accounted for 1.8%of the land area and contributed 5.4%of the carbonate chemical weathering carbon sink;(2)the silicate rock chemical weathering carbon sink and its flux were 1.44×10^(3)t CO_(2)and 2.43 t CO_(2)km^(-2)yr^(-1),respectively;(3)the vegetation-soil ecosystem carbon sink and its flux were 1.37×10^(8)t CO_(2)and 831.70 t CO_(2)km^(-2)yr^(-1),respectively;(4)the carbon emissions(CEs)were 280 Tg CO_(2),about 2.8%of the total for China;and(5)the total carbon sinks in Guizhou were 160 Tg CO_(2),with a CNCI of 57%,which is 4.8 times of China and 2.1 times of the world.In summary,we conducted a systematic diagnosis of the CNC considering the RCS and established a CNCI model.The results of this study have a strong implication and significance for national and global CNC determination and gap analysis.
基金
supported jointly by Joint Funds of the National Natural Science Foundation of China(NO.U22A20619)
Western Light Cross-team Program of Chinese Academy of Sciences(No.xbzg-zdsys-202101)
National Natural Science Foundation of China(No.42077455&No.42167032)
Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB40000000&No.XDA23060100)
Guizhou Provincial Science and Technology Projects(No.2022-198)
High-level innovative talents in Guizhou Province(No.GCC[2022]015-1&No.2016e5648)
Guizhou Provincial 2020 Science and Technology Subsidies(No.GZ2020SIG)
Opening Fund of the State Key Laboratory of Environmental Geochemistry(No.SKLEG2022206&No.SKLEG2022208)
The central government leading local science and technology development(No.QianKeZhongYinDi[2021]4028).