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Title: Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models: Current status and future directions

Journal Article · · Global Biogeochemical Cycles
DOI:https://doi.org/10.1002/2014GB005021· OSTI ID:1209692
 [1];  [1];  [1];  [1];  [2];  [3];  [4];  [5];  [6];  [5];  [7];  [8];  [9];  [10];  [5];  [1];  [5];  [6];  [11];  [1] more »;  [5];  [12];  [5];  [1];  [13];  [5];  [1];  [1];  [14] « less
  1. Auburn Univ., AL (United States). International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences
  2. Northern Arizona Univ., Flagstaff, AZ (United States). School of Earth Sciences and Environmental Sustainability and Dept. of Civil Engineering, Construction Management, and Environmental Engineering
  3. Northern Arizona Univ., Flagstaff, AZ (United States). School of Earth Sciences and Environmental Sustainability and Center for Ecosystem Science and Society
  4. Carnegie Institution for Science, Stanford, CA (United States). Dept. of Global Ecology
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Inst.
  6. Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette (France)
  7. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Sciences and Global Change Div.
  8. National Inst. for Environmental Studies, Tsukuba (Japan)
  9. Univ. of Illinois, Urbana-Champaign, IL (United States). Dept. for Atmospheric Sciences
  10. Tsinghua Univ., Beijing (China). Depart. of Hydraulic Engineering
  11. Montana State Univ., Bozeman, MT (United States). Dept. of Ecology
  12. National Snow and Ice Data Center; Boulder, CO (United States)
  13. National Aeronautics and Space Administration, Mountain View, CA (United States). Ames Research Center,
  14. Univ. of Maryland, College Park, MD (United States). Dept. of Atmospheric and Oceanic Science

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 2111Pg C (1Pg=1015g) with a median value of 1158 Pg C in 2010. The models estimate a broad range of Rh from 35 to 69PgCyr-1 with a median value of 51 Pg Cyr-1 during 2001-2010. The largest uncertainty in SOC stocks exists in the 40-65 degrees 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. Lastly, 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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-76RL01830; NNX10AG01A; NNH10AN681; AC05-00OR22725; AC05-76RLO1830; SC0006706; AC02-05CH11231; OCI-0725070; ACI-1238993
OSTI ID:
1209692
Alternate ID(s):
OSTI ID: 1348308
Journal Information:
Global Biogeochemical Cycles, Vol. 29, Issue 6; ISSN 0886-6236
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 166 works
Citation information provided by
Web of Science

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The power of language: Functional brain network topology of deaf and hearing in relation to sign language experience journal March 2019
Plant Feedback Aggravates Soil Organic Carbon Loss Associated With Wind Erosion in Northwest China journal April 2019
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N-P Fertilization Stimulates Anaerobic Selenium Reduction in an End-Pit Lake journal September 2017
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Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements journal January 2019
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