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Session Proposal: Recent Advancements for Representing Microbial Dynamics in Earth System Models (AGU25)

B073
Recent Advancements for Representing Microbial Dynamics in Earth System Models

Session ID#: 250540

Session Description:
Microbial dynamics and their interactions with biotic and abiotic processes strongly regulate soil carbon and nutrient cycling. Despite the crucial role of microbial dynamics in terrestrial biogeochemical cycles, explicit representations of microbial processes within Earth System Models (ESMs) remains a challenge. This session aims to convene experts in microbial ecology and terrestrial ecosystem modeling to discuss obstacles and opportunities for explicitly representing microbial dynamics in ESMs. We aspire to explore avenues to advance ESM's predictability of SOC responses to disturbances and environmental changes by harmonizing genomic and microbiological insights with microbe-explicit modeling. We welcome studies that characterize and model microbial dynamics and their interactions with environmental drivers across spatial scales. This includes (but is not limited to) studies that connect genomic data with functional traits, apply novel approaches for detecting microbial community shifts, incorporate trait-based microbial function groups into ESMs, or bridge scale gaps by synthesizing experimental studies across ecosystems.
Co-Sponsor(s):
  • C - Cryosphere
  • EP - Earth and Planetary Surface Processes
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0463 Microbe/mineral interactions [BIOGEOSCIENCES]
0465 Microbiology: ecology, physiology and genomics [BIOGEOSCIENCES]
Primary Convener:  Jing Tao, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States
Conveners:  Gianna Marschmann, Lawrence Berkeley National Laboratory, Berkeley, United States, Hannah Holland Moritz, University of New Hampshire, Department of Natural Resources and the Environment, Durham, United States and Zhen Li, Lawrence Livermore National Laboratory, Livermore, United States
Student/Early Career Convener:  Zhen Li, Lawrence Livermore National Laboratory, Livermore, United States
 
Modeling Microbial Mechanisms of Soil Carbon Loss Under Warming: A Modular Approach to Improve Earth System Model Predictions (Invited) (1887035)
Debjani Sihi, North Carolina State University Raleigh, Department of Plant and Microbial Biology, College of Agriculture and Life Science, Raleigh, United States, Jianqiu Zheng, Pacific Northwest National Laboratory, Richland, WA, United States, Jacob Weverka, Goleta, CA, UNITED STATES, Daniel Minikaev, Oak Ridge Institute for Science and Education, Oak Ridge, United States, Gabriele Larocca Conte, University of California Merced, Department of Life & Environmental Sciences, Merced, CA, United States, Cameron Kyle McMillan, University of Toledo, Environmental Sciences, Toledo, OH, United States, Graham Louis, NC State University, Raleigh, United States, Eric A Davidson, University of Maryland, Center for Environmental Science, Frostburg, MD, United States, Michael N Weintraub, University of Toledo, Department of Environmental Sciences, Toledo, OH, United States, Andrew Nottingham, University of Leeds, Leeds, United Kingdom, Christine S. O'Connell, Chapman University, Schmid College of Science and Technology, Orange, United States, Jennifer Pett-Ridge, Lawrence Livermore National Laboratory, Physical and Life Sciences Directorate, Livermore, CA, United States, Sasha Reed, U.S. Geological Survey, Southwest Biological Science Center, Moab, United States and Tana Wood, USDA Forest Service International Institute of Tropical Forestry, Luquillo, United States
 
Leveraging genomic data to assess and model microbial life history tradeoffs (Invited) (1887181)
Steven D Allison1, Luciana Chavez Rodriguez2, Jose Murua1, Gianna Marschmann3, Katherine Shek4, Ulas Karaoz3, Ashish A Malik5, Caitlin Broderick6, Dawson Fairbanks7, Winston Anthony8, Alicia Clum3, Amelia R Nelson9,10, Eoin Brodie11 and Brittni Bertolet12, (1)University of California Irvine, Ecology and Evolutionary Biology, Irvine, United States, (2)Wageningen University and Research Center, Wageningen, Netherlands, (3)Lawrence Berkeley National Laboratory, Berkeley, United States, (4)University of New Hampshire Main Campus, Natural Resources and the Environment, Durham, United States, (5)University of Edinburgh, School of GeoSciences, Edinburgh, United Kingdom, (6)Michigan State University, East Lansing, MI, United States, (7)University of Arizona, Department of Soil, Water and Environmental Science, Tucson, AZ, United States, (8)Pacific Northwest National Laboratory, Richland, United States, (9)Colorado State University, Department of Soil and Crop Sciences, Fort Collins, CO, United States, (10)University of California Berkeley, Department of Environmental Science, Policy and Management, Berkeley, United States, (11)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States, (12)Rutgers University Newark, Dept. of Earth and Environmental Sciences, Newark, NJ, United States
 
A comparative analysis of carbon use efficiency dynamics in popular models of biological growth (1958141)
Jinyun Tang, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, William J Riley, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States, Gianna Marschmann, Lawrence Berkeley National Laboratory, Berkeley, United States and Eoin Brodie, Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States
 
Uniting Modelers, Microbiologists, and Biogeochemists to Improve Wetland Methane Prediction: Workshop Report and Community Engagement (2002089)
Virginia Isabel Rich, Ohio State University Main Campus, Columbus, OH, United States, Dr. Ruth K Varner, PhD, University of New Hampshire, Department of Earth Sciences, Durham, United States, Gil Bohrer, The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States, Mikayla Borton, Colorado State University, Fort Collins, United States, Jennifer Watts, Woodwell Climate Research Center, Falmouth, United States and All Participants in the Workshop: Uniting modelers, microbiologists, and biogeochemists to improve wetland methane prediction
See more of: Biogeosciences