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Benchmark estimates for aboveground litterfall data derived from ecosystem models

文献类型：期刊论文

作者Li, Shihua5; Yuan, Wenping5; Ciais, Philippe4; Viovy, Nicolas4; Ito, Akihiko2; Jia, Bingrui1; Zhu, Dan4
刊名ENVIRONMENTAL RESEARCH LETTERS
出版日期2019
卷号14期号:8
关键词aboveground litterfall production leaf area index random forest ecosystem model
ISSN号1748-9326
DOI10.1088/1748-9326/ab2ee4
文献子类Article
英文摘要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.
学科主题Environmental Sciences ; Meteorology & Atmospheric Sciences
出版地BRISTOL
WOS关键词CARBON-CYCLE ; LAND MODEL ; DECOMPOSITION ; FORESTS ; FLUXES ; STANDS ; RETURN
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000490599700002
出版者IOP PUBLISHING LTD
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)
源URL[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.Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan
2.UVSQ, CNRS, CEA, LSCE, F-91191 Gif Sur Yvette, France
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
4.Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Guangdong, Peoples R China
5.Sun Yat Sen Univ, Zhuhai Key Lab Dynam Urban Climate & Ecol, Sch Atmospher Sci, Zhuhai 519082, Guangdong, 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).

入库方式： OAI收割

来源：植物研究所

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