globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13341
论文题名:
Spatially explicit estimates of N2O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management
作者: Gerber J.S.; Carlson K.M.; Makowski D.; Mueller N.D.; Garcia de Cortazar-Atauri I.; Havlík P.; Herrero M.; Launay M.; O'Connell C.S.; Smith P.; West P.C.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2016
卷: 22, 期:10
起始页码: 3383
结束页码: 3394
语种: 英语
英文关键词: climate change ; emissions ; flooded rice ; greenhouse gas ; manure ; meta-analysis ; N2O ; nitrogen ; nitrous oxide ; sustainable agriculture
Scopus关键词: agricultural emission ; alternative agriculture ; climate change ; fertilizer application ; greenhouse gas ; manure ; meta-analysis ; nitrogen ; nitrous oxide ; rice ; Eastern Europe ; Sub-Saharan Africa ; Western Europe
英文摘要: With increasing nitrogen (N) application to croplands required to support growing food demand, mitigating N2O emissions from agricultural soils is a global challenge. National greenhouse gas emissions accounting typically estimates N2O emissions at the country scale by aggregating all crops, under the assumption that N2O emissions are linearly related to N application. However, field studies and meta-analyses indicate a nonlinear relationship, in which N2O emissions are relatively greater at higher N application rates. Here, we apply a super-linear emissions response model to crop-specific, spatially explicit synthetic N fertilizer and manure N inputs to provide subnational accounting of global N2O emissions from croplands. We estimate 0.66 Tg of N2O-N direct global emissions circa 2000, with 50% of emissions concentrated in 13% of harvested area. Compared to estimates from the IPCC Tier 1 linear model, our updated N2O emissions range from 20% to 40% lower throughout sub-Saharan Africa and Eastern Europe, to >120% greater in some Western European countries. At low N application rates, the weak nonlinear response of N2O emissions suggests that relatively large increases in N fertilizer application would generate relatively small increases in N2O emissions. As aggregated fertilizer data generate underestimation bias in nonlinear models, high-resolution N application data are critical to support accurate N2O emissions estimates. © 2016 John Wiley & Sons Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61281
Appears in Collections:影响、适应和脆弱性

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作者单位: Institute on the Environment (IonE), University of Minnesota, St. Paul, MN, United States; Department of Natural Resources and Environmental Management, University of Hawai'i at Manoa 96822, 1910 East West Road, Honolulu, HI, United States; INRA, AgroParisTech, University Paris-Saclay, UMR 211, Thiverval-Grignon, France; Department of Earth and Planetary Sciences, Harvard University, 20 Oxford Street, Cambridge, MA, United States; Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA, United States; INRA US 1116 AGROCLIM F-84914, Avignon Cedex 9, France; International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg, Austria; Commonwealth Scientific and Industrial Research Organisation (CSIRO), St. Lucia, QLD, Australia; Institute of Biological and Environmental Sciences & ClimateXChange, University of Aberdeen, 23 St. Machar Drive, Aberdeen, United Kingdom; Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA, United States

Recommended Citation:
Gerber J.S.,Carlson K.M.,Makowski D.,et al. Spatially explicit estimates of N2O emissions from croplands suggest climate mitigation opportunities from improved fertilizer management[J]. Global Change Biology,2016-01-01,22(10)
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