DOI: 10.1002/2017MS000920
Scopus记录号: 2-s2.0-85034425971
论文题名: Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX-GHG
作者: Wang K ; , Peng C ; , Zhu Q ; , Zhou X ; , Wang M ; , Zhang K ; , Wang G
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 6 起始页码: 2368
结束页码: 2384
语种: 英语
英文关键词: Biogeochemistry
; Climate change
; Climate models
; Decay (organic)
; Ecology
; Ecosystems
; Enzymes
; Greenhouse gases
; Microorganisms
; Sensitivity analysis
; Soils
; Biogeochemical cycle
; Dissolved organic carbon
; Global climate changes
; Microbial biomass carbon
; Microbial decomposition
; Microbial physiology
; Soil organic carbon
; Terrestrial ecosystems
; Organic carbon
; climate change
; decomposition analysis
; dissolved organic carbon
; ecosystem modeling
; global climate
; microbial activity
; sensitivity analysis
; soil carbon
; soil microorganism
; soil organic matter
; terrestrial environment
英文摘要: Microbial physiology plays a critical role in the biogeochemical cycles of the Earth system. However, most traditional soil carbon models are lacking in terms of the representation of key microbial processes that control the soil carbon response to global climate change. In this study, the improved process-based model TRIPLEX-GHG was developed by coupling it with the new MEND (Microbial-ENzyme-mediated Decomposition) model to estimate total global soil organic carbon (SOC) and global soil microbial carbon. The new model (TRIPLEX-MICROBE) shows considerable improvement over the previous version (TRIPLEX-GHG) in simulating SOC. We estimated the global soil carbon stock to be approximately 1195 Pg C, with 348 Pg C located in the high northern latitudes, which is in good agreement with the well-regarded Harmonized World Soil Database (HWSD) and the Northern Circumpolar Soil Carbon Database (NCSCD). We also estimated the global soil microbial carbon to be 21 Pg C, similar to the 23 Pg C estimated by Xu et al. (2014). We found that the microbial carbon quantity in the latitudinal direction showed reversions at approximately 30°N, near the equator and at 25°S. A sensitivity analysis suggested that the tundra ecosystem exhibited the highest sensitivity to a 1°C increase or decrease in temperature in terms of dissolved organic carbon (DOC), microbial biomass carbon (MBC), and mineral-associated organic carbon (MOC). However, our work represents the first step toward a new generation of ecosystem process models capable of integrating key microbial processes into soil carbon cycles. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75725
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, Shaanxi, China; Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, Centre-Ville, Montreal, QC, Canada; Oak Ridge National Laboratory, Environmental Sciences Division & Climate Change Science Institute, Oak Ridge, TN, United States
Recommended Citation:
Wang K,, Peng C,, Zhu Q,et al. Modeling Global Soil Carbon and Soil Microbial Carbon by Integrating Microbial Processes into the Ecosystem Process Model TRIPLEX-GHG[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(6)