期刊
GLOBAL BIOGEOCHEMICAL CYCLES
卷 29, 期 10, 页码 1782-1800出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2015GB005188
关键词
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资金
- United States National Science Foundation
- Department of Energy
- National Science Foundation Research Coordination (RCN) grant [DEB 0840964]
- Department of Energy [DE SC0008270]
- U.S. Department of Agriculture/National Institute of Food and Agriculture grant [2015-67003-23485]
- U.S. Department of Energy, Terrestrial Ecosystem Science (TES) Program [DE-SC0014374]
- U.S. Department of Energy (DOE) [DE-SC0014374, DE-SC0008270] Funding Source: U.S. Department of Energy (DOE)
- Direct For Biological Sciences
- Division Of Environmental Biology [1457160, 0840964] Funding Source: National Science Foundation
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.
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