Global patterns of woody residence time and its influence on model simulation of aboveground biomass

doi:10.1016/j.ecoleng.2017.05.004

	Global patterns of woody residence time and its influence on model simulation of aboveground biomass
	Xue, Bao-Lin ; Guo, Qinghua1 ; Hu, Tianyu ; Xiao, Jingfeng 2; Yang, Yuanhe; Wang, Guoqiang 3; Tao, Shengli ; Su, Yanjun 1; Liu, Jin ; Zhao, Xiaoqian
	2017
发表期刊	GLOBAL BIOGEOCHEMICAL CYCLES
ISSN	0886-6236
卷号	31 期号:5 页码:821-835
摘要	Woody residence time (tau(w)) is an important parameter that expresses the balance between mature forest recruitment/growth and mortality. Using field data collected from the literature, this study explored the global forest tau(w) and investigated its influence on model simulations of aboveground biomass (AGB) at a global scale. Specifically, tau(w) was found to be related to forest age, annual temperature, and precipitation at a global scale, but its determinants were different among various plant function types. The estimated global forest tau(w) based on the filed data showed large spatial heterogeneity, which plays an important role in model simulation of AGB by a dynamic global vegetation model (DGVM). The tau(w) could change the resulting AGB in tenfold based on a site-level test using the Monte Carlo method. At the global level, different parameterization schemes of the Integrated Biosphere Simulator using the estimated tau(w) resulted in a twofold change in the AGB simulation for 2100. Our results highlight the influences of various biotic and abiotic variables on forest tau(w). The estimation of tau(w) in our study may help improve the model simulations and reduce the parameter's uncertainty over the projection of future AGB in the current DGVM or Earth System Models. A clearer understanding of the responses of tau(w) to climate change and the corresponding sophisticated description of forest growth/mortality in model structure is also needed for the improvement of carbon stock prediction in future studies.
学科领域	Environmental Sciences & Ecology ; Engineering
DOI	10.1016/j.ecoleng.2017.05.004
收录类别	SCI
语种	英语
WOS关键词	TERRESTRIAL CARBON-CYCLE ; TREE MORTALITY-RATES ; VEGETATION MODEL ; FOREST PRODUCTIVITY ; ECOSYSTEM DYNAMICS ; BIOSPHERE MODEL ; PLANT GEOGRAPHY ; CLIMATE ; TEMPERATE ; TURNOVER
WOS记录号	WOS:000404305300028
出版者	AMER GEOPHYSICAL UNION
文献子类	Article
出版地	WASHINGTON
EISSN	1944-9224
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41301020] ; National Key Basic Research Program of ChinaNational Basic Research Program of China [2013CB956604] ; National Aeronautics and Space Administration (NASA) through the Carbon Cycle Science Program [NNX14AJ18G] ; Climate Indicators and Data Products for Future National Climate Assessments [NNX16AG61G]
作者邮箱	guo.qinghua@gmail.com
引用统计	被引频次：2[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/2S10CLM1/22238
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, Beijing, Peoples R China 2.Univ Calif, Sch Engn, Sierra Nevada Res Inst, Merced, CA USA 3.Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH 03824 USA 4.Beijing Normal Univ, Coll Water Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Xue, Bao-Lin,Guo, Qinghua,Hu, Tianyu,et al. Global patterns of woody residence time and its influence on model simulation of aboveground biomass[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2017,31(5):821-835.
APA	Xue, Bao-Lin.,Guo, Qinghua.,Hu, Tianyu.,Xiao, Jingfeng.,Yang, Yuanhe.,...&Zhao, Xiaoqian.(2017).Global patterns of woody residence time and its influence on model simulation of aboveground biomass.GLOBAL BIOGEOCHEMICAL CYCLES,31(5),821-835.
MLA	Xue, Bao-Lin,et al."Global patterns of woody residence time and its influence on model simulation of aboveground biomass".GLOBAL BIOGEOCHEMICAL CYCLES 31.5(2017):821-835.

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