globalchange  > 气候变化事实与影响
DOI: 10.1002/2015GB005188
Scopus记录号: 2-s2.0-84946543320
论文题名:
Explicitly representing soil microbial processes in Earth system models
作者: Wieder W; R; , Allison S; D; , Davidson E; A; , Georgiou K; , Hararuk O; , He Y; , Hopkins F; , Luo Y; , Smith M; J; , Sulman B; , Todd-Brown K; , Wang Y; -P; , Xia J; , Xu X
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2015
卷: 29, 期:10
起始页码: 1782
结束页码: 1800
语种: 英语
英文关键词: biogeochemical cycles, processes, and modeling ; carbon cycling ; Earth system modeling ; microbe/mineral interactions ; soils/pedology
Scopus关键词: biogeochemistry ; carbon cycle ; data assimilation ; decomposition ; long-term change ; microbial activity ; model validation ; parameterization ; pedology ; soil carbon ; soil microorganism ; soil organic matter ; stabilization
英文摘要: Microbes influence soil organic matter decomposition and the long-term stabilization of carbon (C) in soils. We contend that by revising the representation of microbial processes and their interactions with the physicochemical soil environment, Earth system models (ESMs) will make more realistic global C cycle projections. Explicit representation of microbial processes presents considerable challenges due to the scale at which these processes occur. Thus, applying microbial theory in ESMs requires a framework to link micro-scale process-level understanding and measurements to macro-scale models used to make decadal- to century-long projections. Here we review the diversity, advantages, and pitfalls of simulating soil biogeochemical cycles using microbial-explicit modeling approaches. We present a roadmap for how to begin building, applying, and evaluating reliable microbial-explicit model formulations that can be applied in ESMs. Drawing from experience with traditional decomposition models, we suggest the following: (1) guidelines for common model parameters and output that can facilitate future model intercomparisons; (2) development of benchmarking and model-data integration frameworks that can be used to effectively guide, inform, and evaluate model parameterizations with data from well-curated repositories; and (3) the application of scaling methods to integrate microbial-explicit soil biogeochemistry modules within ESMs. With contributions across scientific disciplines, we feel this roadmap can advance our fundamental understanding of soil biogeochemical dynamics and more realistically project likely soil C response to environmental change at global scales. ©2015. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77915
Appears in Collections:气候变化事实与影响

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作者单位: Climate and Global Dynamics Division, National Center for Atmospheric Research, Boulder, CO, United States; Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, United States; Department of Earth System Science, University of California, Irvine, CA, United States; Appalachian Laboratory, University of Maryland, Center for Environmental Science, Frostburg, MD, United States; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, United States; Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, BC, Canada; Department of Earth, Atmospheric and Planetary Sciences, Purdue University, West Lafayette, IN, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, United States; Computational Science Laboratory, Microsoft Research, Cambridge, United Kingdom; Department of Biology, Indiana University, Bloomington, IN, United States; Pacific Northwest National Laboratory, Richland, WA, United States; CSIRO Ocean and Atmosphere Flagship, Aspendale, VIC, Australia; Tiantong National Forest Ecosystem Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China; Department of Biological Sciences, University of Texas at El PasoTX, United States

Recommended Citation:
Wieder W,R,, Allison S,et al. Explicitly representing soil microbial processes in Earth system models[J]. Global Biogeochemical Cycles,2015-01-01,29(10)
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