DOI: 10.1111/gcb.13039
论文题名: Toward improved model structures for analyzing priming: Potential pitfalls of using bulk turnover time
作者: Georgiou K. ; Koven C.D. ; Riley W.J. ; Torn M.S.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2015
卷: 21, 期: 12 起始页码: 4298
结束页码: 4302
语种: 英语
英文关键词: Carbon cycle dynamics
; Climate change
; Elevated CO2
; Microbial biomass
; Priming effect
; Soil carbon modeling
; Soil carbon storage
Scopus关键词: biomass
; carbon cycle
; carbon sequestration
; climate change
; decomposition
; microbial activity
; soil carbon
; carbon dioxide
; soil
; atmosphere
; carbon cycle
; chemistry
; climate change
; soil
; theoretical model
; Atmosphere
; Carbon Cycle
; Carbon Dioxide
; Climate Change
; Models, Theoretical
; Soil
英文摘要: Many studies have shown that elevated atmospheric CO2 concentrations result in increased plant carbon inputs to soil that can accelerate the decomposition of native soil organic matter, an effect known as priming. Consequently, it is important to understand and quantify the priming effect for future predictions of carbon-climate feedbacks. There are potential pitfalls, however, when representing this complex system with a simple, first-order model. Here, we show that a multi-pool soil carbon model can match the change in bulk turnover time calculated from overall respiration and carbon stocks (a one-pool approach) at elevated CO2, without a change in decomposition rate constants of individual pools (i.e., without priming). Therefore, the priming effect cannot be quantified using a one-pool model alone, and even a two-pool model may be inadequate, depending on the effect size as well as the distribution of soil organic carbon and turnover times. In addition to standard measurements of carbon stocks and CO2 fluxes, we argue that quantifying the fate of new plant inputs requires isotopic tracers and microbial measurements. Our results offer insights into modeling and interpreting priming from observations. © 2015 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/61755
Appears in Collections: 影响、适应和脆弱性
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作者单位: Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, United States; Earth Sciences Division, Lawrence Berkeley National Lab (LBNL), Berkeley, CA, United States; Energy and Resources Group, University of California, Berkeley, CA, United States
Recommended Citation:
Georgiou K.,Koven C.D.,Riley W.J.,et al. Toward improved model structures for analyzing priming: Potential pitfalls of using bulk turnover time[J]. Global Change Biology,2015-01-01,21(12)