气候变化领域集成服务门户(CCPortal): Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

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DOI	10.1111/gcb.14514
	Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty
	Tian, Hanqin; Yang, Jia; Xu, Rongting; Lu, Chaoqun; Canadell, Josep G.; Davidson, Eric A.; Jackson, Robert B.; Arneth, Almut; Chang, Jinfeng; Ciais, Philippe; Gerber, Stefan; Ito, Akihiko; Joos, Fortunat; Lienert, Sebastian; Messina, Palmira; Olin, Stefan; Pan, Shufen; Pe
发表日期	2019-02-01
ISSN	1354-1013
EISSN	1365-2486
卷号	25 期号:2 页码:640-659
英文摘要	Our understanding and quantification of global soil nitrous oxide (N2O) emissions and the underlying processes remain largely uncertain. Here, we assessed the effects of multiple anthropogenic and natural factors, including nitrogen fertilizer (N) applica
关键词	global nitrogen cycle greenhouse gas emission nitrous oxide process-based modeling soil N2O emission
学科领域	Biodiversity Conservation;Ecology;Environmental Sciences
语种	英语
WOS记录号	WOS:000456028900021
来源期刊	GLOBAL CHANGE BIOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/82529
作者单位	Auburn Univ, Sch Forestry & Wildlife Sci, Int Ctr Climate & Global Change Res, Auburn, AL 36849 USA
推荐引用方式 GB/T 7714	Tian, Hanqin,Yang, Jia,Xu, Rongting,et al. Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty[J],2019,25(2):640-659.
APA	Tian, Hanqin.,Yang, Jia.,Xu, Rongting.,Lu, Chaoqun.,Canadell, Josep G..,...&Pe.(2019).Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty.GLOBAL CHANGE BIOLOGY,25(2),640-659.
MLA	Tian, Hanqin,et al."Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty".GLOBAL CHANGE BIOLOGY 25.2(2019):640-659.