globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0089252
论文题名:
Representation of Dormant and Active Microbial Dynamics for Ecosystem Modeling
作者: Gangsheng Wang; Melanie A. Mayes; Lianhong Gu; Christopher W. Schadt
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-2-18
卷: 9, 期:2
语种: 英语
英文关键词: Biomass (ecology) ; Microbial physiology ; Ecosystem modeling ; Microbial ecosystems ; Oxygen ; Simulation and modeling ; Agricultural soil science ; Paleoecology
英文摘要: Dormancy is an essential strategy for microorganisms to cope with environmental stress. However, global ecosystem models typically ignore microbial dormancy, resulting in notable model uncertainties. To facilitate the consideration of dormancy in these large-scale models, we propose a new microbial physiology component that works for a wide range of substrate availabilities. This new model is based on microbial physiological states and the major parameters are the maximum specific growth and maintenance rates of active microbes and the ratio of dormant to active maintenance rates. A major improvement of our model over extant models is that it can explain the low active microbial fractions commonly observed in undisturbed soils. Our new model shows that the exponentially-increasing respiration from substrate-induced respiration experiments can only be used to determine the maximum specific growth rate and initial active microbial biomass, while the respiration data representing both exponentially-increasing and non-exponentially-increasing phases can robustly determine a range of key parameters including the initial total live biomass, initial active fraction, the maximum specific growth and maintenance rates, and the half-saturation constant. Our new model can be incorporated into existing ecosystem models to account for dormancy in microbially-driven processes and to provide improved estimates of microbial activities.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089252&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/18905
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America;Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America

Recommended Citation:
Gangsheng Wang,Melanie A. Mayes,Lianhong Gu,et al. Representation of Dormant and Active Microbial Dynamics for Ecosystem Modeling[J]. PLOS ONE,2014-01-01,9(2)
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