Knowledge Management System Of Institute Of Botany,CAS
Evaluation of modeled global vegetation carbon dynamics: Analysis based on global carbon flux and above-ground biomass data | |
Xue, Bao-Lin; Guo, Qinghua1; Hu, Tianyu; Wang, Guoqiang2; Wang, Yongcai; Tao, Shengli; Su, Yanjun1; Liu, Jin; Zhao, Xiaoqian | |
2017 | |
发表期刊 | ECOLOGICAL MODELLING |
ISSN | 0304-3800 |
卷号 | 355页码:84-96 |
摘要 | Dynamic global vegetation models are useful tools for the simulation of global carbon cycle. However, most models are hampered by the poor availability of global aboveground biomass (AGB) data, which is necessary for the model calibration process. Here, taking the integrated biosphere simulator model (IBIS) as an example, we evaluated the modeled carbon dynamics, including gross primary production (GPP) and potential AGB, at the global scale. The IBIS model was constrained by both in situ GPP and plot-level AGB data collected from the literature. Model results showed that IBIS could reproduce GPP with acceptable accuracy in monthly and annual scales. At the global scale, the IBIS-simulated total AGB was similar to those obtained in other studies. However, discrepancies were observed between the model-derived and observed AGB for pan-tropical forests. The bias in modeled AGB was mainly caused by the unchanged parameters over the global scale for a specific plant functional type. This study also showed that different meteorological inputs can introduce substantial differences in modeled AGB in the global scale, although this difference is small compared with parameter-induced differences. The conclusions of our research highlight the necessity of considering the heterogeneity of key model physiological parameters in modeling global AGB. (C) 2017 Elsevier B.V. All rights reserved. |
关键词 | Dynamic global vegetation model Integrated biosphere simulator Gross primary production Above-ground biomass Global carbon cycle |
学科领域 | Chemistry |
DOI | 10.1002/asia.201701296 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | TRANSFER SCHEME LSX ; FOREST BIOMASS ; TERRESTRIAL GROSS ; PLANT GEOGRAPHY ; DIOXIDE UPTAKE ; CLIMATE-CHANGE ; CO2 ; DENSITY ; BALANCE ; TEMPERATE |
WOS记录号 | WOS:000417244500007 |
出版者 | ELSEVIER |
文献子类 | Article |
出版地 | AMSTERDAM |
EISSN | 1872-7026 |
资助机构 | National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41301020] ; National Key Basic Research Program of ChinaNational Basic Research Program of China [2013CB956604] ; U.S. Department of Energy, Biological and Environmental Research, Terrestrial Carbon ProgramUnited States Department of Energy (DOE) [DE-FG02-04ER63917, DE-FG02-04ER63911] ; CFCAS ; NSERCNatural Sciences and Engineering Research Council of Canada (NSERC) ; BIOCAP ; Environment CanadaCGIAR ; NRCanNatural Resources Canada ; CarboEuropeIPEuropean Commission ; FAO-GTOS-TCO ; iLEAPS ; Max Planck Institute for Biogeochemistry ; National Science FoundationNational Science Foundation (NSF) ; University of Tuscia ; Universite Laval ; US Department of EnergyUnited States Department of Energy (DOE) |
作者邮箱 | guo.qinghua@gmail.com |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/22241 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China 2.Univ Calif, Sierra Nevada Res Inst, Sch Engn, Merced, CA 95343 USA 3.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China |
推荐引用方式 GB/T 7714 | Xue, Bao-Lin,Guo, Qinghua,Hu, Tianyu,et al. Evaluation of modeled global vegetation carbon dynamics: Analysis based on global carbon flux and above-ground biomass data[J]. ECOLOGICAL MODELLING,2017,355:84-96. |
APA | Xue, Bao-Lin.,Guo, Qinghua.,Hu, Tianyu.,Wang, Guoqiang.,Wang, Yongcai.,...&Zhao, Xiaoqian.(2017).Evaluation of modeled global vegetation carbon dynamics: Analysis based on global carbon flux and above-ground biomass data.ECOLOGICAL MODELLING,355,84-96. |
MLA | Xue, Bao-Lin,et al."Evaluation of modeled global vegetation carbon dynamics: Analysis based on global carbon flux and above-ground biomass data".ECOLOGICAL MODELLING 355(2017):84-96. |
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Zhang-2017-Photoelec(699KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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