DOI: 10.1002/2013GB004595
Scopus记录号: 2-s2.0-84895913523
论文题名: Incorporating microbial ecology concepts into global soil mineralization models to improve predictions of carbon and nitrogen fluxes
作者: Fujita Y ; , Witte J ; -P ; M ; , Van Bodegom P ; M
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2014
卷: 28, 期: 3 起始页码: 223
结束页码: 238
语种: 英语
英文关键词: C:N stoichiometry
; CENTURY
; global SOM model
; microbial biomass
; N mineralization
; soil respiration
Scopus关键词: Biomass
; Carbon
; Ecology
; Forecasting
; Forestry
; Microorganisms
; Mineralogy
; Model structures
; Nitrogen
; Soil mechanics
; Soils
; Stoichiometry
; C:N stoichiometry
; CENTURY
; Microbial biomass
; N mineralization
; Soil respiration
; C (programming language)
; biogeochemical cycle
; biomass
; carbon flux
; climate change
; microbial activity
; microbial ecology
; mineralization
; nitrogen cycle
; prediction
; soil carbon
; soil dynamics
; soil fertility
; soil microorganism
; soil nitrogen
; soil respiration
英文摘要: Global models of soil carbon (C) and nitrogen (N) fluxes become increasingly needed to describe climate change impacts, yet they typically have limited ability to reflect microbial activities that may affect global-scale soil dynamics. Benefiting from recent advances in microbial knowledge, we evaluated critical assumptions on microbial processes to be applied in global models. We conducted a sensitivity analysis of soil respiration rates (Cmin) and N mineralization rates (Nmin) for different model structures and parameters regarding microbial processes and validated them with laboratory incubation data of diverse soils. Predicted Cmin was sensitive to microbial biomass, and the model fit to observed Cmin improved when using site-specific microbial biomass. Cmin was less affected by the approach of microbial substrate consumption (i.e., linear, multiplicative, or Michaelis-Menten kinetics). The sensitivity of Cmin to increasing soil N fertility was idiosyncratic and depended on the assumed mechanism of microbial C:N stoichiometry effects: a C overflow mechanism upon N limitation (with decreased microbial growth efficiency) led to the best model fit. Altogether, inclusion of microbial processes reduced prediction errors by 26% (for Cmin) and 7% (for Nmin) in our validation data set. Our study identified two important aspects to incorporate into global models: site-specific microbial biomass and microbial C:N stoichiometry effects. The former requires better understandings of spatial patterns of microbial biomass and its drivers, while the latter urges for further conceptual progress on C-N interactions. With such advancements, we envision improved predictions of global C and N fluxes for a current and projected climate. ©2014. 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/77479
Appears in Collections: 气候变化事实与影响
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作者单位: Team Ecohydrology, KWR Watercycle Research Institute, Nieuwegein, Netherlands; Department of Ecological Science, Subdepartment of Systems Ecology, Vrije Universiteit, Amsterdam, Netherlands
Recommended Citation:
Fujita Y,, Witte J,-P,et al. Incorporating microbial ecology concepts into global soil mineralization models to improve predictions of carbon and nitrogen fluxes[J]. Global Biogeochemical Cycles,2014-01-01,28(3)