DOI: 10.1002/2017MS001004
Scopus记录号: 2-s2.0-85037364434
论文题名: Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems
作者: Jiang L ; , Shi Z ; , Xia J ; , Liang J ; , Lu X ; , Wang Y ; , Luo Y
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 8 起始页码: 2822
结束页码: 2835
语种: 英语
英文关键词: Climate change
; Dynamics
; Ecology
; Forestry
; Network function virtualization
; Carbon dynamics
; Carbon storage
; Model inter comparisons
; Residence time
; Traceability analysis
; Ecosystems
; analytical method
; carbon cycle
; carbon emission
; carbon sequestration
; climate change
; ecosystem dynamics
; ecosystem modeling
; ecosystem response
; forest ecosystem
; model test
; net ecosystem exchange
; prediction
; residence time
; uncertainty analysis
; Duke Forest
; Harvard Forest
; Massachusetts
; North Carolina
; United States
英文摘要: Uptake of anthropogenically emitted carbon (C) dioxide by terrestrial ecosystem is critical for determining future climate. However, Earth system models project large uncertainties in future C storage. To help identify sources of uncertainties in model predictions, this study develops a transient traceability framework to trace components of C storage dynamics. Transient C storage (X) can be decomposed into two components, C storage capacity (Xc) and C storage potential (Xp). Xc is the maximum C amount that an ecosystem can potentially store and Xp represents the internal capacity of an ecosystem to equilibrate C input and output for a network of pools. Xc is codetermined by net primary production (NPP) and residence time (τN), with the latter being determined by allocation coefficients, transfer coefficients, environmental scalar, and exit rate. Xp is the product of redistribution matrix (τch) and net ecosystem exchange. We applied this framework to two contrasting ecosystems, Duke Forest and Harvard Forest with an ecosystem model. This framework helps identify the mechanisms underlying the responses of carbon cycling in the two forests to climate change. The temporal trajectories of X are similar between the two ecosystems. Using this framework, we found that different mechanisms lead to a similar trajectory between the two ecosystems. This framework has potential to reveal mechanisms behind transient C storage in response to various global change factors. It can also identify sources of uncertainties in predicted transient C storage across models and can therefore be useful for model intercomparison. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75695
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States; Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China; Environmental Science Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Department of Mathematics, University of Oklahoma, Norman, OK, United States; Department of Earth System Science, Tsinghua University, Beijing, China
Recommended Citation:
Jiang L,, Shi Z,, Xia J,et al. Transient Traceability Analysis of Land Carbon Storage Dynamics: Procedures and Its Application to Two Forest Ecosystems[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(8)