DOI: 10.1002/2014MS000331
Scopus记录号: 2-s2.0-85027919407
论文题名: Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index
作者: Fang Y ; , Liu C ; , Huang M ; , Li H ; , Leung L ; R
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 6, 期: 4 起始页码: 1049
结束页码: 1064
语种: 英语
英文关键词: Biogeochemistry
; Carbon
; Forestry
; Nitrogen
; Satellites
; Soils
; State estimation
; Carbon and nitrogen
; Community land models
; NGBGC
; Soil organic carbon
; Spin-up
; Steady-state simulations
; Organic carbon
; carbon cycle
; global change
; leaf area index
; nitrogen cycle
; soil carbon
; soil organic matter
; steady-state equilibrium
英文摘要: Estimation of soil organic carbon (SOC) stock using models typically requires long term spin-up of the carbon-nitrogen (CN) models, which has become a bottleneck for global modeling. We report a new numerical approach to estimate global SOC stock that can alleviate long spin-up. The approach uses satellite-based canopy leaf area index (LAI) and takes advantage of a reaction-based biogeochemical moduleâNext Generation BioGeoChemical Module (NGBGC) that was recently developed and incorporated in version 4 of the Community Land Model (CLM4). Although NGBGC uses the same CN mechanisms as in CLM4CN, it can be easily configured to run prognostic or steady state simulations. The new approach was applied at point and global scales and compared with SOC derived from spin-up by running NGBGC in the prognostic mode, and SOC from the Harmonized World Soil Database (HWSD). The steady state solution is comparable to the spin-up value when the satellite LAI is close to that from the spin-up solution, and largely captured the global variability of the HWSD SOC across the different dominant plant functional types (PFTs). The correlation between the simulated and HWSD SOC was, however, weak at both point and global scales, suggesting the needs for improving the biogeochemical processes described in CLM4 and updating HWSD. Besides SOC, the steady state solution also includes all other state variables simulated by a spin-up run, which makes the tested approach a promising tool to efficiently estimate global SOC distribution and evaluate and compare multiple aspects simulated by different CN mechanisms in the model. Key Points: Steady state soil organic carbon (SOC) can be estimated without long spin-up Satellite leaf area index is used to calculate carbon source in the model Model captured global variability of SOC across dominant plant functional types © 2014. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76070
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: Hydrology Group, Energy and Environment Direc., Pacific Northwest National Laboratory, Richland, WA, United States; Geochemistry Group, Fundamental and Computational Sciences Direc., Pacific Northwest National Laboratory, Richland, WA, United States; Climate Physics Group, Fundamental and Computational Sciences Direc., Pacific Northwest National Laboratory, Richland, WA, United States
Recommended Citation:
Fang Y,, Liu C,, Huang M,et al. Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,6(4)