DOI: 10.1002/2016GB005557
Scopus记录号: 2-s2.0-85018880545
论文题名: Global patterns of woody residence time and its influence on model simulation of aboveground biomass
作者: Xue B ; -L ; , Guo Q ; , Hu T ; , Xiao J ; , Yang Y ; , Wang G ; , Tao S ; , Su Y ; , Liu J ; , Zhao X
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2017
卷: 31, 期: 5 起始页码: 821
结束页码: 835
语种: 英语
英文关键词: biomass
; carbon cycle
; climate change
; dynamitic global vegetation model
; global forest
; woody residence time
Scopus关键词: aboveground biomass
; age
; carbon cycle
; climate change
; global perspective
; growth
; heterogeneity
; Monte Carlo analysis
; mortality
; parameterization
; precipitation (climatology)
; residence time
; temperature
; uncertainty analysis
; wood
英文摘要: Woody residence time (τw) 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 τw and investigated its influence on model simulations of aboveground biomass (AGB) at a global scale. Specifically, τw 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 τw 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 τw 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 τw resulted in a twofold change in the AGB simulation for 2100. Our results highlight the influences of various biotic and abiotic variables on forest τw. The estimation of τw 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 τw 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. ©2017. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77742
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China; School of Engineering, Sierra Nevada Research Institute, University of California, Merced, CA, United States; Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, United States; College of Water Sciences, Beijing Normal University, Beijing, China
Recommended Citation:
Xue B,-L,, Guo Q,et al. Global patterns of woody residence time and its influence on model simulation of aboveground biomass[J]. Global Biogeochemical Cycles,2017-01-01,31(5)