中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space

文献类型:期刊论文

作者Lin, Gang1,4; Jiang, Dong1,3,4; Li, Xiang2; Fu, Jingying1,4
刊名LAND
出版日期2022-10-01
卷号11期号:10页码:19
关键词ecological space net ecosystem productivity carbon sink carbon peak and neutrality
DOI10.3390/land11101822
通讯作者Li, Xiang(lx@student.cumtb.edu.cn) ; Fu, Jingying(fujy@igsnrr.ac.cn)
英文摘要Ecological space (ES), including forest ecological space (FES) and grassland ecological space (GES) in this study, is the land with natural attributes and the main functions of providing ecological services, which has a huge potential capacity for carbon sink (CS). The interannual fluctuation of the CS in ES is severe, which is affected by factors such as precipitation and temperature, but it is still controversial which is the dominant factor in affecting the fluctuation process of the CS in ES. To this end, the multi-source remote sensing monitoring data on the fine-grid scale were collected in this study, including the land use and land cover remote sensing monitoring data, the data products of moderate-resolution imaging spectroradiometer (including land surface water index, photosynthetically active radiation, enhanced vegetation index, gross primary productivity), and meteorological data (including precipitation and temperature). By coupling the vegetation photosynthesis model and soil respiration model, the CS in CES from 2010 to 2020 was calculated, and the interannual fluctuation trends and stability of CS in CES were analyzed. Furthermore, the correlation coefficient and partial correlation coefficient equation between the CS of CES with precipitation and temperature were constructed to explore the correlation between interannual fluctuation of CS in CES with meteorological factor, and to determine the dominant position of precipitation and temperature in affecting the fluctuation process of the CS in CES. The research results show that the annual average CS of per unit area in CES was 233.78 gC.m(-2).a(-1), and the cumulative CS was 11.83 PgC. The GES and FES contributed 6.33 PgC and 5.49 PgC of CS, respectively. From 2010 to 2020, the CS of CES showed an upward trend and was generally in a relatively stable state (the mean value of the coefficient of variation was 0.6248). However, the year with severe fluctuation of was found in this study (from 2013 to 2015), the reason is that the precipitation was too low in 2014, which indicated that climate change, especially the change of precipitation, played a important role in the fluctuation of CS in CES. The results of correlation analysis confirmed the above analysis. The change of CS in CES is highly positively correlated with the change of precipitation (the correlation coefficient is 0.085), and weakly positively correlation with temperature (the correlation coefficient was 0.026). The precipitation is the dominant influencing factor, which has a positive effect on CS in CES. Within a climate environment dominated by precipitation, precipitation and temperature jointly affect the CS in CES. It should be noted that in some regions with variable climate, precipitation and temperature had relatively little impact on CS in CES. Their fluctuations may depend more on the ecosystem's own ecological services' regulation ability and their response degree to changes in atmospheric CO2 concentration.
WOS关键词SPATIOTEMPORAL VARIATION ; CLIMATE-CHANGE ; TEMPERATURE ; WATER
资助项目Humanities and Social Sciences Project - Ministry of Education[20YJCZH087] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040305] ; National Natural Science Foundation[42202280] ; National Natural Science Foundation[41971250]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000872840500001
出版者MDPI
资助机构Humanities and Social Sciences Project - Ministry of Education ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/186288]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Xiang; Fu, Jingying
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
3.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100812, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Lin, Gang,Jiang, Dong,Li, Xiang,et al. Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space[J]. LAND,2022,11(10):19.
APA Lin, Gang,Jiang, Dong,Li, Xiang,&Fu, Jingying.(2022).Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space.LAND,11(10),19.
MLA Lin, Gang,et al."Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space".LAND 11.10(2022):19.

入库方式: OAI收割

来源:地理科学与资源研究所

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