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

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          Abstract

          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 (CO 2) 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 = 10 15 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 CO 2 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.

          Key Points

          • Simulated historical (1901–2010) SOC dynamics vary largely among models

          • Ten TBMs agree that climate and land use change have reduced SOC stocks

          • Rising CO 2 and N deposition are prone to increase SOC with varying magnitudes

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          Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature.

          It has been suggested that increases in temperature can accelerate the decomposition of organic carbon contained in forest mineral soil (Cs), and, therefore, that global warming should increase the release of soil organic carbon to the atmosphere. These predictions assume, however, that decay constants can be accurately derived from short-term laboratory incubations of soil or that in situ incubations of fresh litter accurately represent the temperature sensitivity of Cs decomposition. But our limited understanding of the biophysical factors that control Cs decomposition rates, and observations of only minor increases in Cs decomposition rate with temperature in longer-term forest soil heating experiments and in latitudinal comparisons of Cs decomposition rates bring these predictions into question. Here we have compiled Cs decomposition data from 82 sites on five continents. We found that Cs decomposition rates were remarkably constant across a global-scale gradient in mean annual temperature. These data suggest that Cs decomposition rates for forest soils are not controlled by temperature limitations to microbial activity, and that increased temperature alone will not stimulate the decomposition of forest-derived carbon in mineral soil.
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            Reduced growth of Alaskan white spruce in the twentieth century from temperature-induced drought stress.

            The extension of growing season at high northern latitudes seems increasingly clear from satellite observations of vegetation extent and duration. This extension is also thought to explain the observed increase in amplitude of seasonal variations in atmospheric CO2 concentration. Increased plant respiration and photosynthesis both correlate well with increases in temperature this century and are therefore the most probable link between the vegetation and CO2 observations. From these observations, it has been suggested that increases in temperature have stimulated carbon uptake in high latitudes and for the boreal forest system as a whole. Here we present multi-proxy tree-ring data (ring width, maximum late-wood density and carbon-isotope composition) from 20 productive stands of white spruce in the interior of Alaska. The tree-ring records show a strong and consistent relationship over the past 90 years and indicate that, in contrast with earlier predictions, radial growth has decreased with increasing temperature. Our data show that temperature-induced drought stress has disproportionately affected the most rapidly growing white spruce, suggesting that, under recent climate warming, drought may have been an important factor limiting carbon uptake in a large portion of the North American boreal forest. If this limitation in growth due to drought stress is sustained, the future capacity of northern latitudes to sequester carbon may be less than currently expected.
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              Global covariation of carbon turnover times with climate in terrestrial ecosystems.

              The response of the terrestrial carbon cycle to climate change is among the largest uncertainties affecting future climate change projections. The feedback between the terrestrial carbon cycle and climate is partly determined by changes in the turnover time of carbon in land ecosystems, which in turn is an ecosystem property that emerges from the interplay between climate, soil and vegetation type. Here we present a global, spatially explicit and observation-based assessment of whole-ecosystem carbon turnover times that combines new estimates of vegetation and soil organic carbon stocks and fluxes. We find that the overall mean global carbon turnover time is 23(+7)(-4) years (95 per cent confidence interval). On average, carbon resides in the vegetation and soil near the Equator for a shorter time than at latitudes north of 75° north (mean turnover times of 15 and 255 years, respectively). We identify a clear dependence of the turnover time on temperature, as expected from our present understanding of temperature controls on ecosystem dynamics. Surprisingly, our analysis also reveals a similarly strong association between turnover time and precipitation. Moreover, we find that the ecosystem carbon turnover times simulated by state-of-the-art coupled climate/carbon-cycle models vary widely and that numerical simulations, on average, tend to underestimate the global carbon turnover time by 36 per cent. The models show stronger spatial relationships with temperature than do observation-based estimates, but generally do not reproduce the strong relationships with precipitation and predict faster carbon turnover in many semi-arid regions. Our findings suggest that future climate/carbon-cycle feedbacks may depend more strongly on changes in the hydrological cycle than is expected at present and is considered in Earth system models.
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                Author and article information

                Journal
                Global Biogeochem Cycles
                Global Biogeochem Cycles
                10.1002/(ISSN)1944-9224
                GBC
                Global Biogeochemical Cycles
                John Wiley and Sons Inc. (Hoboken )
                0886-6236
                1944-9224
                05 June 2015
                June 2015
                : 29
                : 6 ( doiID: 10.1002/gbc.v29.6 )
                : 775-792
                Affiliations
                [ 1 ] International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences Auburn University Auburn AlabamaUSA
                [ 2 ] School of Earth Sciences and Environmental SustainabilityNorthern Arizona University Flagstaff ArizonaUSA
                [ 3 ] Department of Civil Engineering, Construction Management, and Environmental EngineeringNorthern Arizona University Flagstaff ArizonaUSA
                [ 4 ] Center for Ecosystem Science and SocietyNorthern Arizona University Flagstaff ArizonaUSA
                [ 5 ] Department of Global EcologyCarnegie Institution for Science Stanford CaliforniaUSA
                [ 6 ] Environmental Sciences Division and Climate Change Science InstituteOak Ridge National Laboratory Oak Ridge TennesseeUSA
                [ 7 ]Laboratoire des Sciences du Climat et de l'Environnement Gif sur YvetteFrance
                [ 8 ] Atmospheric Sciences and Global Change DivisionPacific Northwest National Laboratory Richland WashingtonUSA
                [ 9 ]National Institute for Environmental Studies TsukubaJapan
                [ 10 ] Department for Atmospheric SciencesUniversity of Illinois at Urbana‐Champaign Urbana IllinoisUSA
                [ 11 ] Department of Hydraulic EngineeringTsinghua University BeijingChina
                [ 12 ] Department of EcologyMontana State University Bozeman MontanaUSA
                [ 13 ]National Snow and Ice Data Center Boulder ColoradoUSA
                [ 14 ]Ames Research Center, National Aeronautics and Space Administration Mountain View CaliforniaUSA
                [ 15 ] Department of Atmospheric and Oceanic ScienceUniversity of Maryland College Park MarylandUSA
                Author notes
                [*] [* ] Correspondence to: H. Tian, and C. Lu,

                tianhan@ 123456auburn.edu ;

                czl0003@ 123456auburn.edu

                Article
                GBC20281 2014GB005021
                10.1002/2014GB005021
                5008182
                27642229
                5e848779-66fc-4fa4-b336-8d497c4d5eb6
                ©2015. The Authors.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 20 October 2014
                : 23 March 2015
                : 08 May 2015
                Page count
                Pages: 18
                Funding
                Funded by: NASA ROSES
                Award ID: NNX10AG01A
                Award ID: NNH10AN68I
                Funded by: U.S. Department of Energy (DOE)
                Award ID: DE‐AC05‐00OR22725
                Award ID: DE‐AC05‐76RLO1830
                Funded by: Office of Science, Biological and Environmental Research (BER)
                Funded by: Environmental Molecular Sciences Laboratory (EMSL)
                Funded by: Pacific Northwest National Laboratory (PNNL)
                Funded by: NASA Interdisciplinary Science Program
                Award ID: NNX10AU06G
                Award ID: NNX11AD47G
                Award ID: NNX14AF93G
                Award ID: NNG04GM39C
                Funded by: NASA Land Cover/Land Use Change Program
                Award ID: NNX08AL73G
                Funded by: NASA Carbon Monitoring System Program
                Award ID: NNX14AO73G
                Funded by: National Science Foundation Dynamics of Coupled Natural‐Human System Program
                Award ID: 1210360
                Funded by: Decadal and Regional Climate Prediction using Earth System Models
                Award ID: AGS‐1243220
                Funded by: DOE National Institute for Climate Change Research
                Award ID: DUKE‐UN‐07‐SC‐NICCR‐1014
                Funded by: EPA STAR program
                Award ID: 2004‐STAR‐L1
                Funded by: U.S. National Science Foundation
                Award ID: NSF‐AGS‐12‐43071
                Award ID: NSF‐EFRI‐083598
                Funded by: USDA National Institute of Food and Agriculture (NIFA)
                Award ID: 2011‐68002‐30220
                Funded by: U.S. Department of Energy (DOE) Office of Science
                Award ID: DOE‐DESC0006706
                Funded by: NASA Land cover and Land Use Change Program
                Award ID: NNX14AD94G
                Funded by: Office of Science of the U.S. Department of Energy
                Award ID: DE‐AC02‐05CH11231
                Funded by: National Science Foundation
                Award ID: OCI‐0725070
                Award ID: ACI‐1238993
                Categories
                Biogeosciences
                Biogeochemical Cycles, Processes, and Modeling
                Biogeochemical Kinetics and Reaction Modeling
                Soils/Pedology
                Cryosphere
                Biogeochemistry
                Geodesy and Gravity
                Global Change from Geodesy
                Global Change
                Biogeochemical Cycles, Processes, and Modeling
                Impacts of Global Change
                Hydrology
                Soils
                Natural Hazards
                Climate Impact
                Oceanography: Biological and Chemical
                Biogeochemical Cycles, Processes, and Modeling
                Paleoceanography
                Biogeochemical Cycles, Processes, and Modeling
                Research Article
                Research Articles
                Custom metadata
                2.0
                gbc20281
                gbc20281-hdr-0001
                June 2015
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.4 mode:remove_FC converted:01.09.2016

                soil organic carbon (soc),heterotrophic respiration (rh),mean residence time (mrt),soil carbon dynamics model,belowground processes,uncertainty

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