Data-driven estimates of global nitrous oxide emissions from croplands

作     者：Qihui Wang Feng Zhou Ziyin Shang Philippe Ciais Wilfried Winiwarter Robert B.Jackson Francesco N.Tubiello Greet Janssens-Maenhout Hanqin Tian Xiaoqing Cui Josep G.Canadell Shilong Piao Shu Tao Qihui Wang;Feng Zhou;Ziyin Shang;Philippe Ciais;Wilfried Winiwarter;Robert B.Jackson;Francesco N.Tubiello;Greet Janssens-Maenhout;Hanqin Tian;Xiaoqing Cui;Josep G.Canadell;Shilong Piao;Shu Tao

作者机构：Sino-France Institute of Earth Systems Science Laboratory for Earth Surface Processes College of Urban and Environmental Sciences Peking University European Commission Joint Research Centre International Institute for Applied Systems Analysis (IIASA) The Institute of Environmental Engineering University of Zielona Góra Global Carbon Project CSIRO Oceans and Atmosphere Department of Earth System Science Stanford University Statistics DivisionFood and Agricultural Organization of the United Nations Via Terme di Caracalla International Center for Climate and Global Change Research School of Forestry and Wildlife Sciences Auburn University Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ 

出 版 物：《National Science Review》 (国家科学评论(英文版))

年 卷 期：2020年第7卷第2期

页      面：441-452页

核心收录：

学科分类：082803[工学-农业生物环境与能源工程] 07[理学] 08[工学] 0828[工学-农业工程] 09[农学] 0903[农学-农业资源与环境] 0713[理学-生态学] 

基　　金：supported by the National Natural Science Foundation of China(41671464,7181101181) the National Key Research and Development Program of China(2016YFD0800501,2018YFC0213304) the 111 Project(B14001) supported by the Austrian Science Fund(FWF)(P 29130-G27) support from the CLAND Convergence Institute of the National Research Agency(ANR)in France 

主　　题：nitrous oxide agricultural soils flux upscaling emission factor emission inventories temporal trend 

摘      要：Croplands are the single largest anthropogenic source of nitrous oxide(NO) globally, yet their estimates remain difficult to verify when using Tier 1 and 3 methods of the Intergovernmental Panel on Climate Change(IPCC). Here, we re-evaluate global cropland-NO emissions in 1961–2014, using N-rate-dependent emission factors(EFs) upscaled from 1206 field observations in 180 global distributed sites and high-resolution N inputs disaggregated from sub-national surveys covering 15593 administrative units. Our results confirm IPCC Tier 1 default EFs for upland crops in 1990–2014, but give a ～15% lower EF in 1961–1989 and a ～67% larger EF for paddy rice over the full period. Associated emissions(0.82 ±0.34 Tg N yr) are probably one-quarter lower than IPCC Tier 1 global inventories but close to Tier 3 estimates. The use of survey-based gridded N-input data contributes 58% of this emission reduction, the rest being explained by the use of observation-based non-linear EFs. We conclude that upscaling NO emissions from site-level observations to global croplands provides a new benchmark for constraining IPCC Tier 1 and 3 methods. The detailed spatial distribution of emission data is expected to inform advancement towards more realistic and effective mitigation pathways.