B049
Soils in the Anthropocene: New Insights Across Space and Time

Session ID#: 161827

Session Description:
Soil organic matter (SOM) is a critical ecosystem property regulated by complex physical, chemical, and biological interactions across scales. Better constraints on SOM pools and fluxes are required to advance understanding of how global change will influence the carbon (C) cycle. It is now possible to leverage ‘big data’ soil resources to uncover emergent properties of SOM across broader spatio-temporal scales (including deep soil). This session focuses on research findings from long-term soil experiments, multi-site coordinated data collection efforts, synthesis projects and dataset creation, chronosequences, and large-scale modeling. Studies with a focus on these broad scales that integrate multidisciplinary approaches, such as microbial -omics, new soil sensors, or remote sensing observations, are welcome, as is research that advances our theoretical understanding of soil C at macrosystems scales.
Co-Sponsor(s):
  • ACSESS: Alliance of Crop, Soil, and Environmental Science Societies -
  • ESA: Ecological Society of America -
  • SSSA: Soil Science Society of America -
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0486 Soils/pedology [BIOGEOSCIENCES]

Primary Convener:  Samantha R Weintraub-Leff, National Ecological Observatory Network, Boulder, CO, United States
Conveners:  Avni Malhotra, University of Zurich, Department of Geography, Zurich, Switzerland and Kimber Candice Moreland, Lawrence Livermore National Laboratory, Livermore, CA, United States
Student/Early Career Convener:  Kimber Candice Moreland, Lawrence Livermore National Laboratory, Livermore, CA, United States
 
Quantifying the optimal erosion rate for weathering pathways that facilitate soil organic carbon storage (1043937)
Josh J Roering1, Brooke Hunter1, Oliver Chadwick2, Kyungsoo Yoo3, Adrian Allan Wackett4, Peter C Almond5, Mark Jellinek6 and Lucas Silva7, (1)University of Oregon, Department of Earth Sciences, Eugene, OR, United States, (2)University of California, Santa Barbara, CA, United States, (3)Univ of MN-Soil, Water&Climate, St. Paul, MN, United States, (4)University of Minnesota Twin Cities, Department of Soil, Water, and Climate, St. Paul, MN, United States, (5)Lincoln Univeresity, Christchurch, New Zealand, (6)Univ British Columbia, Vancouver, BC, Canada, (7)University of Oregon, Environmental Studies Program, Department of Biology, Institute of Ecology and Evolution, Eugene, United States
 
Upscaling Mechanisms of Soil Carbon Storage and Persistence: How Many Soil Pits Does It Take to Characterize a Landscape? (1074132)
Corey R Lawrence, US Geological Survey, Geoscience and Environmental Change Science Center, Denver, CO, United States, Elizabeth K Williams, US Geological Survey, Geosciences and Environmental Change Science Center, Denver, CO, United States, K. Dana Chadwick, JPL/NASA/Caltech, Pasadena, United States and Kate Maher, Stanford University, Earth Systems Science, Stanford, United States
 
Soil carbon persistence governed by plant input and mineral protection at regional and global scales (Invited) (1080180)
Leiyi Chen1, Kai Fang1, Bin Wei2, Shuqi Qin1, Xuehui Feng2, Chengjun Ji3 and Yuanhe Yang2, (1)IB Institute of Botany, Chinese Academy of Sciences, Beijing, China, (2)Institute of Botany, Chinese Academy of Sciences, Beijing, China, (3)Peking University, Beijing, China
 
Historical fate of global soil organic carbon in the past century (1108510)
Feng Tao1, Bernhard Ahrens2, Hui Yang3, Marion Schrumpf4, Nuno Carvalhais3, Markus Reichstein5, Xiaomeng Huang1 and Yiqi Luo6, (1)Tsinghua University, Beijing, China, (2)Max Planck Institute for Biogeochemistry, Jena, Germany, (3)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (4)Department of Biogeochemical Processes, Max Planck Institute for Biogeochemistry, Jena, Germany, (5)Max Planck Institute for Biogeochemistry, Department Biogeochemical Integration, Jena, Germany, (6)Cornell University, School of Integrative Plant Science, Ithaca, United States
 
Faster Machine Learning for MIR Soil Spectroscopy with Discrete Haar Wavelet Transform (1109434)
Dellena Evelyn Bloom, University of Florida, Department of Environmental Engineering Sciences, Ft Walton Beach, FL, United States, José Lucas Safanelli, Woodwell Climate Research Center, Falmouth, United States, Jonathan Sanderman, Woodwell Climate Research Center, Woods Hole, MA, United States, Tomislav Hengl, OpenGeoHub Foundation, Wageningen, Netherlands and Katherine E Todd-Brown, University of Florida, Environmental Engineering Sciences, Gainesville, United States
 
The 1000 Soils Pilot: A standardized high resolution workflow for understanding belowground soil organic matter cycles (Invited) (1115330)
Maggie Mae Bowman1, Erica Bakker2, Alexis Heath3, James Anderson4, Patricia Miller2, Michael Rosenstock2, Tamas Varga1, Anil Krishna Battu2, Rosalie Kae Chu1, Jason Toyoda5, William Kew1, Yuri E Corilo6, Odeta Qafoku7, John Bargar8 and Emily Bonnell Graham9, (1)Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Bowling Green State University Main Campus, Bowling Green, United States, (4)Louisiana State University, Baton Rouge, United States, (5)Pacific Northwest National Laboratory, EMSL, Richland, WA, United States, (6)National High Magnetic Field Laboratory, FT-ICR MS Facility, Tallahassee, FL, United States, (7)Battelle Pacific Northwest, Richland, WA, United States, (8)Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Richland, United States, (9)Pacific Northwest National Laboratory, Richland, WA, United States
 
Cryptic carbon: wetland identification under perennial forest cover enhances spatially explicit modeling of soil carbon stock (1133210)
Anthony J Stewart1, Meghan Halabisky2, Chad Babcock3, David E Butman4, David V D'Amore5 and L. M. Moskal1, (1)University of Washington Seattle Campus, Seattle, WA, United States, (2)University of Washington, Seattle, United States, (3)University of Minnesota Twin Cities, Department of Forest Resources, St. Paul, United States, (4)University of Washington Seattle Campus, Seattle, United States, (5)Pacific Northwest Research Station, USDA Forest Service, Juneau, AK, United States
 
Divergent controls on decomposition and persistence of soil organic matter fractions (1139910)
Caitlin Hicks Pries1, Katherine A Heckman2, Sophie F von Fromm3, Corey R Lawrence4, Shane Stoner5 and Jeffrey Beem-Miller5, (1)Dartmouth College, Department of Biological Sciences, Hanover, NH, United States, (2)USDA Forest Service, Vallejo, CA, United States, (3)Max-Planck-Institute for Biogeochemistry, Department of Biogeochemical Processes, Jena, Germany, (4)US Geological Survey, Geosciences and Environmental Change Science Center, Denver, CO, United States, (5)Max Planck Institute for Biogeochemistry, Jena, Germany
 
Soil microbial nitrogen cycle of a drained peatland forest reveals increasing ROLe of nitrification in N2O emissions (1143661)
Ulo Mander1, Zane Ferch2, Fahad Ali Kazmi2, Reti Ranniku1, Sharvari Sunil Gadegaonkar2, Jordi Escuer-Gatius3, Martin Maddison2, Kaido Soosaar1 and Mikk Espenberg1, (1)University of Tartu, Institute of Ecology & Earth Sciences, Department of Geography, Tartu, Estonia, (2)University of Tartu, Institute of Ecology and Earth Sciences, Department of Geography, Tartu, Estonia, (3)Estonian University of Life Sciences, Institute of Agriculture and Environmental Sciences, Tartu, Estonia
 
Drivers of Soil Respiration Partitioning in a Seasonally Dry Mid-Latitude Forest (1151821)
Rose Z Abramoff1, Jeffrey D Wood2, Lianhong Gu3, Matthew Craig3, Anthony Walker4 and Melanie A Mayes5, (1)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, United States, (2)University of Missouri, Columbia, MO, United States, (3)Oak Ridge National Laboratory, Oak Ridge, United States, (4)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (5)ORNL, Oak Ridge, TN, United States
 
Towards advancing models of soil carbon dynamics by incorporating scale dependence of microbial decomposition (1154176)
Derek Pierson, USDA Forest Service, Rocky Mountain Research Station, Boise, United States, Fiona Jevon, Yale University, School of Forestry and Environmental Studies, New Haven, United States, Alexander Polussa, Yale University, School of the Environment, New Haven, United States, Debbie Page-Dumroese, USDA Forest Service, Moscow, United States, Mark Bradford, Yale University, Yale School of the Environment, New Haven, United States and William R Wieder, Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States
 
Highlighting Complex Systems Phenomena For Soil Modeling In The Anthropocene (1168033)
Nicholas L Medina, University of Michigan Ann Arbor, Ecology and Evolutionary Biology, Ann Arbor, MI, United States
 
The Impact of Management on Landscape Processes and Spatial Heterogeneity of the Soil Active Layer. (1169099)
Kenneth Wacha, USDA ARS, West Lafayette, United States and Thanos Papanicolaou, USDA -ARS, National Lab for Agriculture and the Environment, Ames, United States
 
Erosion rates and hillslope geomorphology predict soil organic carbon accumulation in particulate and mineral fractions (1181062)
Brooke Hunter1, Josh J Roering1 and Lucas Silva2, (1)University of Oregon, Department of Earth Sciences, Eugene, OR, United States, (2)University of Oregon, Environmental Studies Program, Department of Biology, Institute of Ecology and Evolution, Eugene, United States
 
Molecular Observation Networks for Enhancing Ecosystem Modeling (1189050)
John Bargar1, Maggie Mae Bowman1, Dana Chadwick2, Xingyuan Chen3, Yuri E Corilo4, M Francesca Cotrufo5, Kennedy O Doro6, Nicola Falco7, Natalie Griffiths8, Alison King5, Jocelyn Marie Lavallee5,9, Debjani Sihi10, Montana L Smith11, Michael N Weintraub6,12, Samantha R Weintraub-Leff13 and Yuxin Wu14, (1)Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Richland, WA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)National High Magnetic Field Laboratory, FT-ICR MS Facility, Tallahassee, FL, United States, (5)Colorado State University, Soil and Crop Sciences, Fort Collins, United States, (6)University of Toledo, Environmental Sciences, Toledo, United States, (7)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States, (8)Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States, (9)Environmental Defense Fund New York, New York, United States, (10)Emory University, Atlanta, United States, (11)Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Richland, United States, (12)Pacific Northwest National Laboratory, Biological Sciences Division, Richland, United States, (13)National Ecological Observatory Network, Battelle, Boulder, United States, (14)Lawrence Berkeley National Lab, Berkeley, United States
 
Identifying Forest Soil information based on Machine learning for South Korea (1199299)
Youngjin KO1, Taejin Park1, Moonil Kim2, Mina Hong1, Gomee Choi3, Woo-Kyun Lee4 and Jiwon Son5, (1)Korea University, Seoul, Korea, Republic of (South), (2)Pyeongtaek University, Pyeongtaek, South Korea, (3)National Forestry Cooperative Federation, Daegeon, South Korea, (4)Korea University, Department of Environmental Science and Ecological Engineering, Seoul, South Korea, (5)Korea University, Seoul, South Korea
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