中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Paddy rice methane emissions across Monsoon Asia

文献类型:期刊论文

作者Ouyang, Zutao34; Jackson, Robert B.32,33,34; McNicol, Gavin31,34; Fluet-Chouinard, Etienne34; Runkle, Benjamin R. K.30; Papale, Dario28,29; Knox, Sara H.27; Cooley, Sarah26,34; Delwiche, Kyle B.25,34; Feron, Sarah24,34
刊名REMOTE SENSING OF ENVIRONMENT
出版日期2023
卷号284页码:19
ISSN号0034-4257
关键词Remote sensing Climate change Greenhouse gas emission Machine learning Eddy covariance
DOI10.1016/j.rse.2022.113335
通讯作者Ouyang, Zutao(ouyangzt@stanford.edu)
英文摘要Although rice cultivation is one of the most important agricultural sources of methane (CH4) and contributes similar to 8% of total global anthropogenic emissions, large discrepancies remain among estimates of global CH4 emissions from rice cultivation (ranging from 18 to 115 Tg CH4 yr(-1)) due to a lack of observational constraints. The spatial distribution of paddy-rice emissions has been assessed at regional-to-global scales by bottom-up inventories and land surface models over coarse spatial resolution (e.g., > 0.5 degrees) or spatial units (e.g., agro-ecological zones). However, high-resolution CH4 flux estimates capable of capturing the effects of local climate and management practices on emissions, as well as replicating in situ data, remain challenging to produce because of the scarcity of high-resolution maps of paddy-rice and insufficient understanding of CH4 predictors. Here, we combine paddy-rice methane-flux data from 23 global eddy covariance sites and MODIS remote sensing data with machine learning to 1) evaluate data-driven model performance and variable importance for predicting rice CH4 fluxes; and 2) produce gridded up-scaling estimates of rice CH4 emissions at 5000-m resolution across Monsoon Asia, where similar to 87% of global rice area is cultivated and similar to 90% of global rice production occurs. Our random-forest model achieved Nash-Sutcliffe Efficiency values of 0.59 and 0.69 for 8-day CH4 fluxes and site mean CH4 fluxes respectively, with land surface temperature, biomass and water-availability-related indices as the most important predictors. We estimate the average annual (winter fallow season excluded) paddy rice CH4 emissions throughout Monsoon Asia to be 20.6 +/- 1.1 Tg yr(-1) for 2001-2015, which is at the lower range of previous inventory-based estimates (20-32 CH4 Tg yr(-1)). Our estimates also suggest that CH4 emissions from paddy rice in this region have been declining from 2007 through 2015 following declines in both paddy-rice growing area and emission rates per unit area, suggesting that CH4 emissions from paddy rice in Monsoon Asia have likely not contributed to the renewed growth of atmospheric CH4 in recent years.
WOS关键词GREENHOUSE-GAS EMISSIONS ; NET ECOSYSTEM EXCHANGE ; WATER MANAGEMENT ; FLUX TOWERS ; CHINA ; CARBON ; FUTURE ; REPRESENTATIVENESS ; ASSIMILATION ; RESPIRATION
资助项目Gordon and Betty Moore Foundation[GBMF5439] ; John Wesley Powell Center for Analysis and Synthesis of the US Geological Survey (Wetland FLUXNET Synthesis for Methane working group) ; US National Science Foundation CBET CAREER Award[1752083] ; National Research Foundation of Korea[NRF-2019R1A2C2084626] ; National Research Foundation of Korea[NRF-2018R1C1B6002917] ; Ministry of Environment of Korea[2022003640002] ; National Research Foundation of China[NSFC42071388] ; Open-Earth-Monitor European Union's Horizon Europe research project[GA 101059548] ; Rural Development Administration of Korea[PJ014892022022] ; Ministry of Agriculture, Forestry and Fisheries, Japan ; Ministry of Environment, Japan through the Global Environment Research Account for National Institutes
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000898666500001
资助机构Gordon and Betty Moore Foundation ; John Wesley Powell Center for Analysis and Synthesis of the US Geological Survey (Wetland FLUXNET Synthesis for Methane working group) ; US National Science Foundation CBET CAREER Award ; National Research Foundation of Korea ; Ministry of Environment of Korea ; National Research Foundation of China ; Open-Earth-Monitor European Union's Horizon Europe research project ; Rural Development Administration of Korea ; Ministry of Agriculture, Forestry and Fisheries, Japan ; Ministry of Environment, Japan through the Global Environment Research Account for National Institutes
源URL[http://ir.igsnrr.ac.cn/handle/311030/188785]  
专题中国科学院地理科学与资源研究所
通讯作者Ouyang, Zutao
作者单位1.Agr Univ, Coll Land Sci & Technol, Beijing, Peoples R China
2.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Peoples R China
3.Univ Oklahoma, Dept Microbiol & Plant Biol, Ctr Earth Observat & Modeling, Norman, OK 73019 USA
4.Natl Chung Hsing Univ, Dept Environm Engn, Taichung, Taiwan
5.Seoul Natl Univ, Dept Landscape Architecture & Rural Syst Engn, Seoul, South Korea
6.UFSM Fed Univ Santa Maria, Santa Maria, RS, Brazil
7.ICAR Natl Rice Res Inst Cuttack, Cuttack, Odisha, India
8.Seoul Natl Univ, Landscape Architecture & Rural Syst Engn, Seoul, South Korea
9.Chongqing Univ, Fac Architecture & Urban Planning, Chongqing, Peoples R China
10.Natl Ctr AgroMeteorol, Seoul, South Korea
推荐引用方式
GB/T 7714
Ouyang, Zutao,Jackson, Robert B.,McNicol, Gavin,et al. Paddy rice methane emissions across Monsoon Asia[J]. REMOTE SENSING OF ENVIRONMENT,2023,284:19.
APA Ouyang, Zutao.,Jackson, Robert B..,McNicol, Gavin.,Fluet-Chouinard, Etienne.,Runkle, Benjamin R. K..,...&Zhang, Yongguang.(2023).Paddy rice methane emissions across Monsoon Asia.REMOTE SENSING OF ENVIRONMENT,284,19.
MLA Ouyang, Zutao,et al."Paddy rice methane emissions across Monsoon Asia".REMOTE SENSING OF ENVIRONMENT 284(2023):19.

入库方式: OAI收割

来源:地理科学与资源研究所

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