Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/ab2ee4 |
Benchmark estimates for aboveground litterfall data derived from ecosystem models | |
Li, Shihua1,2; Yuan, Wenping1,2; Ciais, Philippe3; Viovy, Nicolas3; Ito, Akihiko4; Jia, Bingrui5; Zhu, Dan3 | |
2019-08-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS
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ISSN | 1748-9326 |
出版年 | 2019 |
卷号 | 14期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; France; Japan |
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. |
英文关键词 | aboveground litterfall production leaf area index random forest ecosystem model |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000490599700002 |
WOS关键词 | CARBON-CYCLE ; LAND MODEL ; DECOMPOSITION ; FORESTS ; FLUXES ; STANDS ; RETURN |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/185590 |
专题 | 气候变化 |
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). |
条目包含的文件 | 条目无相关文件。 |
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