Benchmark estimates for aboveground litterfall data derived from ecosystem models

doi:10.1088/1748-9326/ab2ee4

	Benchmark estimates for aboveground litterfall data derived from ecosystem models
	Li, Shihua 1; Yuan, Wenping 1; Ciais, Philippe 2; Viovy, Nicolas 2; Ito, Akihiko 3; Jia, Bingrui 4; Zhu, Dan 2
	2019
发表期刊	ENVIRONMENTAL RESEARCH LETTERS
ISSN	1748-9326
卷号	14 期号:8
摘要	Litter production is a fundamental ecosystem process, which plays an important role in regulating terrestrial carbon and nitrogen cycles. However, there are substantial differences in the litter production simulations among ecosystem models, and a global benchmarking evaluation to measure the performance of these models is still lacking. In this study, we generated a global dataset of aboveground litterfall production (i.e. cLitter), a benchmark as the defined reference to test model performance, by combining systematic measurements taken from a substantial number of surveys (1079 sites) with a machine learning technique (i.e. random forest, RF). Our study demonstrated that the RF model is an effective tool for upscaling local litterfall production observations to the global scale. On average, the model predicted 23.15 Pg Cyr(-1) of aboveground litterfall production. Our results revealed substantial differences in the aboveground litterfall production simulations among the five investigated ecosystem models. Compared to the reference data at the global scale, most of models could reproduce the spatial patterns of aboveground litterfall production, but the magnitude of simulations differed substantially from the reference data. Overall, ORCHIDEE-MICT performed the best among the five investigated ecosystem models.
关键词	aboveground litterfall production leaf area index random forest ecosystem model
学科领域	Environmental Sciences ; Meteorology & Atmospheric Sciences
DOI	10.1088/1748-9326/ab2ee4
收录类别	SCI
语种	英语
WOS关键词	CARBON-CYCLE ; LAND MODEL ; DECOMPOSITION ; FORESTS ; FLUXES ; STANDS ; RETURN
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000490599700002
出版者	IOP PUBLISHING LTD
文献子类	Article
出版地	BRISTOL
资助机构	National Key Basic Research Program of ChinaNational Basic Research Program of China [2018YFA0606104] ; National Youth Top-Notch Talent Support Program [2015-48] ; Changjiang Young Scholars Program of China [Q2016161] ; Training Project of Sun Yat-sen University [16lgjc53] ; European Research CouncilEuropean Research Council (ERC)European Commission [SyG-2013-610028 IMBALANCE-P] ; ANR CLAND Convergence InstituteFrench National Research Agency (ANR)
作者邮箱	yuanwp3@mail.sysu.edu.cn
作品OA属性	Green Published, gold
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/19689
专题	植被与环境变化国家重点实验室
作者单位	1.Sun Yat Sen Univ, Zhuhai Key Lab Dynam Urban Climate & Ecol, Sch Atmospher Sci, Zhuhai 519082, Guangdong, Peoples R China 2.Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Guangdong, Peoples R China 3.UVSQ, CNRS, CEA, LSCE, F-91191 Gif Sur Yvette, France 4.Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan 5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Li, Shihua,Yuan, Wenping,Ciais, Philippe,et al. Benchmark estimates for aboveground litterfall data derived from ecosystem models[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(8).
APA	Li, Shihua.,Yuan, Wenping.,Ciais, Philippe.,Viovy, Nicolas.,Ito, Akihiko.,...&Zhu, Dan.(2019).Benchmark estimates for aboveground litterfall data derived from ecosystem models.ENVIRONMENTAL RESEARCH LETTERS,14(8).
MLA	Li, Shihua,et al."Benchmark estimates for aboveground litterfall data derived from ecosystem models".ENVIRONMENTAL RESEARCH LETTERS 14.8(2019).

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