Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1111/gcb.14816 |
Global vegetation biomass production efficiency constrained by models and observations | |
He, Yue1; Peng, Shushi1; Liu, Yongwen1,2,3; Li, Xiangyi1; Wang, Kai1; Ciais, Philippe4; Arain, M. Altaf5,6; Fang, Yuanyuan7; Fisher, Joshua B.8; Goll, Daniel4; Hayes, Daniel9; Huntzinger, Deborah N.10; Ito, Akihiko11,12; Jain, Atul K.13; Janssens, Ivan A.14; Mao, Jiafu15,16; Matteo, Campioli14; Michalak, Anna M.7; Peng, Changhui17,18; Penuelas, Josep19,20; Poulter, Benjamin21,22; Qin, Dahe23,24; Ricciuto, Daniel M.15,16; Schaefer, Kevin25; Schwalm, Christopher R.26,27; Shi, Xiaoying17; Tian, Hanqin28,29; Vicca, Sara14; Wei, Yaxing15,16; Zeng, Ning30; Zhu, Qiuan17,18 | |
2019-09-27 | |
发表期刊 | GLOBAL CHANGE BIOLOGY
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ISSN | 1354-1013 |
EISSN | 1365-2486 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | Peoples R China; France; Canada; USA; Japan; Belgium; Spain |
英文摘要 | Plants use only a fraction of their photosynthetically derived carbon for biomass production (BP). The biomass production efficiency (BPE), defined as the ratio of BP to photosynthesis, and its variation across and within vegetation types is poorly understood, which hinders our capacity to accurately estimate carbon turnover times and carbon sinks. Here, we present a new global estimation of BPE obtained by combining field measurements from 113 sites with 14 carbon cycle models. Our best estimate of global BPE is 0.41 +/- 0.05, excluding cropland. The largest BPE is found in boreal forests (0.48 +/- 0.06) and the lowest in tropical forests (0.40 +/- 0.04). Carbon cycle models overestimate BPE, although models with carbon-nitrogen interactions tend to be more realistic. Using observation-based estimates of global photosynthesis, we quantify the global BP of non-cropland ecosystems of 41 +/- 6 Pg C/year. This flux is less than net primary production as it does not contain carbon allocated to symbionts, used for exudates or volatile carbon compound emissions to the atmosphere. Our study reveals a positive bias of 24 +/- 11% in the model-estimated BP (10 of 14 models). When correcting models for this bias while leaving modeled carbon turnover times unchanged, we found that the global ecosystem carbon storage change during the last century is decreased by 67% (or 58 Pg C). |
英文关键词 | biomass production BPE carbon sink emergent constraint terrestrial biosphere model |
领域 | 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000487845700001 |
WOS关键词 | NET PRIMARY PRODUCTION ; PROGRAM MULTISCALE SYNTHESIS ; PLANT RESPIRATION ; INTERCOMPARISON PROJECT ; EMERGENT CONSTRAINTS ; TERRESTRIAL GROSS ; CARBON STORAGE ; CLIMATE-CHANGE ; PHOTOSYNTHESIS ; SYSTEM |
WOS类目 | Biodiversity Conservation ; Ecology ; Environmental Sciences |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
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/187148 |
专题 | 气候变化 资源环境科学 |
作者单位 | 1.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China; 2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol, Beijing, Peoples R China; 3.Chinese Acad Sci, CAS Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China; 4.CEA CNRS UVSQ, Lab Sci Climat & Environm, Paris, France; 5.McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada; 6.McMaster Univ, McMaster Ctr Climate Change, Hamilton, ON, Canada; 7.Carnegie Inst Sci, Dept Global Ecol, Stanford, CA USA; 8.CALTECH, Jet Prop Lab, Pasadena, CA USA; 9.Univ Maine, Sch Forest Resources, Orono, ME USA; 10.No Arizona Univ, Sch Earth Sci & Environm Sustainabil, Flagstaff, AZ 86011 USA; 11.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan; 12.Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, Japan; 13.Univ Illinois, Dept Atmospher Sci, 105 S Gregory Ave, Urbana, IL 61801 USA; 14.Univ Antwerp, Dept Biol, Ctr Excellence PLECO Plant & Vegetat Ecol, Antwerp, Belgium; 15.Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA; 16.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA; 17.Univ Quebec, Dept Biol Sci, Inst Environm Sci, Montreal, PQ, Canada; 18.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China; 19.Global Ecol Unit CREAF CEAB UAB, CSIC, Barcelona, Spain; 20.CREAF, Barcelona, Spain; 21.Montana State Univ, Inst Ecosyst, Bozeman, MT 59717 USA; 22.Montana State Univ, Dept Ecol, Bozeman, MT 59717 USA; 23.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Gansu, Peoples R China; 24.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China; 25.Univ Colorado, Natl Snow & Ice Data Ctr, Boulder, CO 80309 USA; 26.Woods Hole Res Ctr, Falmouth, MA USA; 27.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA; 28.Auburn Univ, Int Ctr Climate & Global Change Res, Auburn, AL 36849 USA; 29.Auburn Univ, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USA; 30.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA |
推荐引用方式 GB/T 7714 | He, Yue,Peng, Shushi,Liu, Yongwen,et al. Global vegetation biomass production efficiency constrained by models and observations[J]. GLOBAL CHANGE BIOLOGY,2019. |
APA | He, Yue.,Peng, Shushi.,Liu, Yongwen.,Li, Xiangyi.,Wang, Kai.,...&Zhu, Qiuan.(2019).Global vegetation biomass production efficiency constrained by models and observations.GLOBAL CHANGE BIOLOGY. |
MLA | He, Yue,et al."Global vegetation biomass production efficiency constrained by models and observations".GLOBAL CHANGE BIOLOGY (2019). |
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