globalchange  > 气候变化事实与影响
DOI: 10.1002/2014GB005021
Scopus记录号: 2-s2.0-84947130061
论文题名:
Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models: Current status and future directions
作者: Tian H; , Lu C; , Yang J; , Banger K; , Huntzinger D; N; , Schwalm C; R; , Michalak A; M; , Cook R; , Ciais P; , Hayes D; , Huang M; , Ito A; , Jain A; K; , Lei H; , Mao J; , Pan S; , Post W; M; , Peng S; , Poulter B; , Ren W; , Ricciuto D; , Schaefer K; , Shi X; , Tao B; , Wang W; , Wei Y; , Yang Q; , Zhang B; , Zeng N
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2015
卷: 29, 期:6
起始页码: 775
结束页码: 792
语种: 英语
英文关键词: belowground processes ; heterotrophic respiration (Rh) ; mean residence time (MRT) ; soil carbon dynamics model ; soil organic carbon (SOC) ; uncertainty
Scopus关键词: belowground production ; biosphere ; carbon flux ; climate change ; concentration (composition) ; environmental modeling ; future prospect ; global change ; heterotrophy ; organic carbon ; residence time ; soil dynamics ; soil organic matter ; terrestrial ecosystem ; uncertainty analysis
英文摘要: Soil is the largest organic carbon (C) pool of terrestrial ecosystems, and C loss from soil accounts for a large proportion of land-atmosphere C exchange. Therefore, a small change in soil organic C (SOC) can affect atmospheric carbon dioxide (CO2) concentration and climate change. In the past decades, a wide variety of studies have been conducted to quantify global SOC stocks and soil C exchange with the atmosphere through site measurements, inventories, and empirical/process-based modeling. However, these estimates are highly uncertain, and identifying major driving forces controlling soil C dynamics remains a key research challenge. This study has compiled century-long (1901-2010) estimates of SOC storage and heterotrophic respiration (Rh) from 10 terrestrial biosphere models (TBMs) in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project and two observation-based data sets. The 10 TBM ensemble shows that global SOC estimate ranges from 425 to 2111 Pg C (1 Pg = 1015 g) with a median value of 1158 Pg C in 2010. The models estimate a broad range of Rh from 35 to 69 Pg C yr-1 with a median value of 51 Pg C yr-1 during 2001-2010. The largest uncertainty in SOC stocks exists in the 40-65°N latitude whereas the largest cross-model divergence in Rh are in the tropics. The modeled SOC change during 1901-2010 ranges from -70 Pg C to 86 Pg C, but in some models the SOC change has a different sign from the change of total C stock, implying very different contribution of vegetation and soil pools in determining the terrestrial C budget among models. The model ensemble-estimated mean residence time of SOC shows a reduction of 3.4 years over the past century, which accelerate C cycling through the land biosphere. All the models agreed that climate and land use changes decreased SOC stocks, while elevated atmospheric CO2 and nitrogen deposition over intact ecosystems increased SOC stocks - even though the responses varied significantly among models. Model representations of temperature and moisture sensitivity, nutrient limitation, and land use partially explain the divergent estimates of global SOC stocks and soil C fluxes in this study. In addition, a major source of systematic error in model estimations relates to nonmodeled SOC storage in wetlands and peatlands, as well as to old C storage in deep soil layers. © 2015. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77997
Appears in Collections:气候变化事实与影响

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作者单位: International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, United States; School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, United States; Department of Civil Engineering, Construction Management, and Environmental Engineering, Northern Arizona University, Flagstaff, AZ, United States; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, United States; Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette, France; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; National Institute for Environmental Studies, Tsukuba, Japan; Department for Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Hydraulic Engineering, Tsinghua University, Beijing, China; Department of Ecology, Montana State University, Bozeman, MT, United States; National Snow and Ice Data Center, Boulder, CO, United States; Ames Research Center, National Aeronautics and Space Administration, Mountain View, CA, United States; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States

Recommended Citation:
Tian H,, Lu C,, Yang J,et al. Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models: Current status and future directions[J]. Global Biogeochemical Cycles,2015-01-01,29(6)
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