Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications

doi:10.5194/bg-14-145-2017

	Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications
	Luo, Yiqi 1,2; Shi, Zheng 1; Lu, Xingjie 3; Xia, Jianyang 4; Liang, Junyi 1; Jiang, Jiang 1; Wang, Ying 5; Smith, Matthew J.6; Jiang, Lifen 1; Ahlstrom, Anders 7,8
刊名	BIOGEOSCIENCES
	2017-01-12
卷号	14 期号:1 页码:145-161
ISSN号	1726-4170
DOI	10.5194/bg-14-145-2017
通讯作者	Luo, Yiqi(yluo@ou.edu)
英文摘要	Terrestrial ecosystems have absorbed roughly 30% of anthropogenic CO2 emissions over the past decades, but it is unclear whether this carbon (C) sink will endure into the future. Despite extensive modeling and experimental and observational studies, what fundamentally determines transient dynamics of terrestrial C storage under global change is still not very clear. Here we develop a new framework for understanding transient dynamics of terrestrial C storage through mathematical analysis and numerical experiments. Our analysis indicates that the ultimate force driving ecosystem C storage change is the C storage capacity, which is jointly determined by ecosystem C input (e.g., net primary production, NPP) and residence time. Since both C input and residence time vary with time, the C storage capacity is time-dependent and acts as a moving attractor that actual C storage chases. The rate of change in C storage is proportional to the C storage potential, which is the difference between the current storage and the storage capacity. The C storage capacity represents instantaneous responses of the land C cycle to external forcing, whereas the C storage potential represents the internal capability of the land C cycle to influence the C change trajectory in the next time step. The influence happens through redistribution of net C pool changes in a network of pools with different residence times. Moreover, this and our other studies have demonstrated that one matrix equation can replicate simulations of most land C cycle models (i.e., physical emulators). As a result, simulation outputs of those models can be placed into a three-dimensional (3-D) parameter space to measure their differences. The latter can be decomposed into traceable components to track the origins of model uncertainty. In addition, the physical emulators make data assimilation computationally feasible so that both C flux- and pool-related datasets can be used to better constrain model predictions of land C sequestration. Overall, this new mathematical framework offers new approaches to understanding, evaluating, diagnosing, and improving land C cycle models.
资助项目	National Science Foundation ; US Department of Homeland Security ; US Department of Agriculture through NSF[EF-0832858] ; University of Tennessee, Knoxville ; US Department of Energy[DE-SC0008270] ; US Department of Energy[DE-SC0014085] ; US National Science Foundation (NSF)[EF 1137293] ; US National Science Foundation (NSF)[OIA-1301789]
WOS关键词	SOIL ORGANIC-MATTER ; NONLINEAR MICROBIAL MODELS ; EARTH SYSTEM MODELS ; DATA-ASSIMILATION ; ATMOSPHERIC CO2 ; ELEVATED CO2 ; NITROGEN MINERALIZATION ; DISTRIBUTED EXPERIMENTS ; LITTER DECOMPOSITION ; GRASSLAND SOILS
WOS研究方向	Environmental Sciences & Ecology ; Geology
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000393893500001
资助机构	National Science Foundation ; US Department of Homeland Security ; US Department of Agriculture through NSF ; University of Tennessee, Knoxville ; US Department of Energy ; US National Science Foundation (NSF)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64885]
专题	中国科学院地理科学与资源研究所
通讯作者	Luo, Yiqi
作者单位	1.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 2.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China 3.CSIRO Oceans & Atmosphere, Aspendale, Vic, Australia 4.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai, Peoples R China 5.Univ Oklahoma, Dept Math, Norman, OK 73019 USA 6.Microsoft Res, Sci Computat Lab, Cambridge, England 7.Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA 8.Lund Univ, Dept Phys Geog & Ecosyst Sci, Lund, Sweden 9.Univ Texas Arlington, Dept Math, Arlington, TX 76019 USA 10.McGill Univ, Dept Nat Resource Sci, Montreal, PQ, Canada
推荐引用方式 GB/T 7714	Luo, Yiqi,Shi, Zheng,Lu, Xingjie,et al. Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications[J]. BIOGEOSCIENCES,2017,14(1):145-161.
APA	Luo, Yiqi.,Shi, Zheng.,Lu, Xingjie.,Xia, Jianyang.,Liang, Junyi.,...&Wang, Ying-Ping.(2017).Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications.BIOGEOSCIENCES,14(1),145-161.
MLA	Luo, Yiqi,et al."Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications".BIOGEOSCIENCES 14.1(2017):145-161.