Advances in land carbon cycle modeling

Tao, Feng

B002
Advances in land carbon cycle modeling

Session ID#: 249258

Session Description:

The advent of big data observations, innovations in experimental techniques, and advances in modeling have revolutionized our understanding of terrestrial ecosystems and their responses to climate change. However, projecting the land carbon cycle dynamics with high accuracy remain a grand challenge, as substantial uncertainties persist in simulating land carbon storage, fluxes, and their responses to climate change across Earth system models. This session seeks to address these challenges by showcasing cutting-edge research that advances land carbon cycle science. We invite contributions that span theoretical, experimental, data-driven, and modeling approaches, including: (1) Insights into the mechanisms regulating land carbon storage, fluxes, and their responses to climate change; (2) Innovations in process-based or data-driven modeling approaches; (3) Development of tools and methodologies for integrating diverse data streams into models; (4) Applications of AI to predict and understand land carbon cycle dynamics; and (5) Experimental studies that inform or validate model development.

Co-Sponsor(s):

GC - Global Environmental Change

Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]

Primary Convener: Feng Tao, The Pennsylvania State University, College of Information Sciences and Technology, State College, United States

Conveners: Bailey Murphy, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States and Lifen Jiang, Cornell University, School of Integrative Plant Science, Ithaca, United States

Using Machine Learning and generative AI to constrain uncertainties in soil organic carbon storage & dynamics predictions (Invited) (1857564)

Umakant Mishra, Sandia National Laboratory, Albuquerque, United States

Global patterns of optimal photosynthetic strategies (1864650)

Nicholas G Smith, Texas Tech University, Lubbock, TX, United States

Study on Carbon Metabolism and Storage Mechanisms of Biological Soil Crusts from the Perspective of Carbon-Nitrogen Coupling (1871231)

Xiaobing Zhou, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China

Faster Soil Carbon Aging with Depth at Higher Elevations in a Subtropical Forest (1883165)

Wanshu Li¹, Jing Wang², Huanfa Sun¹, Ning Wei³, Liming Yan¹, Jian Zhang⁴ and Jianyang Xia¹, (1)East China Normal University, School of Ecological and Environmental Sciences, Shanghai, China, (2)Northeast Forestry University, School of Ecology, Harbin, China, (3)Cornell University, School of Integrative Plant Science, Ithaca, United States, (4)Sun Yat-sen University, School of Life Sciences, Guangzhou, China

Bridging Trait Plasticity and Microclimate to Improve Carbon Cycle Modelling in Monsoon-regulated, Heterogeneous Montane Ecosystems (1886623)

Ambuj Mishra, Jawaharlal Nehru University New Delhi, School of Environmental Sciences, New Delhi, India and Satish Chandra Garkoti, Jawaharlal Nehru University, School of Environmental Sciences, New Delhi, India

Divergent responses of land surface models to land-use change and elevated CO₂ exacerbate intrinsic difference in terrestrial carbon turnover (1888949)

Donggyu Hyeon^1,2, Chang-Eui Park³ and Daehyun Kim², (1)KIST Korea Institute of Science and Technology, Center for Climate and Carbon Cycle Research, Gangneung, Korea, Republic of (South), (2)Seoul National University, School of Earth and Environmental Sciences, Seoul, South Korea, (3)KIST Korea Institute of Science and Technology, Center for Climate and Carbon Cycle Research, Seoul, South Korea

High-Resolution SOC Stock Mapping Using NIR Spectroscopy and Machine Learning: A Robust Baseline for Local Carbon Accounting in Gyeonggi Province, South Korea (1889410)

Inhye Seo¹, Jeehwan Bae², JUN GE Hyun³ and Gayoung Yoo³, (1)Kyung Hee University, Department of Applied Environmental Science, Yongin, Korea, Republic of (South), (2)Kyung Hee University, Department of Environmental Science and Engineering, Yongin, South Korea, (3)Kyung Hee University, Department of Environmental Science and Engineering, Yongin-si, Gyeonggi-do, South Korea

Thermal Acclimation of Stem Respiration Implies a Weaker Carbon-climate Feedback (1889441)

Han Zhang¹, Han Wang¹, Ian Wright², Iain Coli Prentice³, Sandy Harrison⁴, Nicholas G Smith⁵, Andrea Westerband⁶, Lucy Rowland⁷, Peter B. Reich⁸, Trevor Keenan⁹, Lenka Plavcová¹⁰, Ngoc Bao Nguyen¹¹, Hugh Morris¹² and Steven Jansen¹³, (1)Tsinghua University, Department of Earth System Science, Beijing, China, (2)University of Western Sydney, Penrith, Australia, (3)Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Ascot, United Kingdom, (4)University of Reading, School of Archaeology, Geography and Environmental Science (SAGES), Reading, United Kingdom, (5)Texas Tech University, Lubbock, TX, United States, (6)University of Louisiana, Department of Biology, Lafayette, United States, (7)University of Exeter, Exeter, United Kingdom, (8)University of Minnesota Twin Cities, Forest Resources, Saint Paul, United States, (9)University of California, Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States, (10)Czech University of Life Sciences, Prague, Czech Republic, (11)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (12)SRUC, Dumfries, United Kingdom, (13)Ulm University, Ulm, Germany

Improving Carbon Flux Simulations with CLM5 in the Constructed Riverine Wetland in South Korea (1891775)

Hyunyoung Oh¹, Justine E.C. Missik², Gil Bohrer², Minseok Kang³, Juhan Park⁴ and Yeonjoo Kim¹, (1)Yonsei University, Department of Civil and Environmental Engineering, Seoul, Korea, Republic of (South), (2)The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States, (3)Gangneung-Wonju National University, Department of Atmospheric and Environmental Sciences, Seoul, South Korea, (4)National Center for AgroMeteorology, Seoul, South Korea

Dryland Litter Decomposition - Photodegradation or Hot Spot Moisture Effects? (1893892)

Dellena Evelyn Bloom¹, Ashley Bonner¹, Daryl Moorhead², Jiwei Li³, Heather Throop⁴, Alexi Besser⁴, Isabel Torres⁵, Sasha Reed⁶, Alejandro Cueva Dr.⁷ and Kathe Todd-Brown⁸, (1)University of Florida, Department of Environmental Engineering Sciences, Gainesville, United States, (2)University of Toledo, Toledo, United States, (3)Center for Global Discovery and Conservation Science, Arizona State University, Tempe, United States, (4)School of Earth and Space Exploration, Arizona State University, Tempe, United States, (5)School of Life Sciences, Arizona State University, Tempe, United States, (6)U.S. Geological Survey, Southwest Biological Science Center, Moab, United States, (7)El Colegio de la Frontera Sur, Tapachula DE Córdova Y Ordóñez, Mexico, (8)University of Florida, Gainesville, United States

Temperature Dependence of Soil Iron Reduction in Humid Tropical Soils: Weighing Model Complexity, Uncertainty, and Carbon Cycle Interactions (1896069)

Shibli Sadik Tulip¹, Salvatore Calabrese¹, Sherlynette Pérez Castro², Aaron Thompson³ and Jennifer Pett-Ridge⁴, (1)Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States, (2)University of Georgia, Athens, United States, (3)University of Georgia, Crop and Soil Sciences, Athens, GA, United States, (4)Lawrence Livermore National Laboratory, Physical and Life Sciences Directorate, Livermore, CA, United States

Advancing the Modeling of Tillage Impacts on Soil Organic Carbon Dynamics in the APEX Framework (1896356)

Rishabh Singh, Texas A&M University College Station, Department of Biological and Agricultural Engineering, College Station, United States, Shashank Kumar Anand, Texas A&M University, College Station, United States, Jaehak Jeong, Texas A&M AgriLife Research, Temple, United States and Salvatore Calabrese, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States

Inferred drought-induced plant allocation shifts and their impact on drought legacy at a tropical forest site (Invited) (1905222)

Matthew Worden¹, Caroline A Famiglietti², Paul Alexander Levine³, Shuang Ma⁴, A. Anthony Bloom³, Damien Bonal⁵, Clément Stahl⁶ and Alexandra G Konings⁷, (1)Stanford University, Department of Earth System Science, Stanford, CA, United States, (2)Hydrosat, Washington, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)University of Oklahoma Foundation, Norman, United States, (5)Université de Lorraine, AgroParisTech, INRAE, UMR Silva, Nancy, France, (6)Joint Research Unit Ecology of Guiana Forests (UMR EcoFoG), Kourou, French Guiana, (7)Stanford University, Earth System Science, Stanford, United States

Root and Microbial Respiration in Sub-Tropical Forest by Using Trenching Method, Central Nepal (1912655)

Bijaya Rai, Environment and Engineering Research Center Pvt Ltd, Environment Assessments, Kathmandu, Nepal

Assessing the Potential Net Warming or Cooling Impacts of Vegetation Change in the Western U.S. Using Climate Models (1918301)

Makayla Patrick¹, Jiaming Lu¹, Marysa M Lague² and Jonathan A Wang³, (1)University of Utah, School of Biological Sciences, Salt Lake City, United States, (2)University of British Columbia, Department of Geography, Vancouver, BC, Canada, (3)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States

Enhancing the MEMS Model to Incorporate Pyrogenic Organic Matter Dynamics (1922158)

Emma Hamilton¹, Jens-Arne Subke², Sam John Leuthold³, M Francesca Cotrufo¹ and Yao Zhang⁴, (1)Colorado State University, Soil and Crop Sciences, Fort Collins, United States, (2)University of Stirling, School of Natural Sciences, Biological and Environmental Sciences, Stirling, United Kingdom, (3)Colorado State University, Department of Soil and Crop Sciences, Fort Collins, United States, (4)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States

How Well Does DifferLand Perform in Retrieving Model Parameters? (1936066)

Fayong Liu and Yuanyuan Huang, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China

Modeling Ecosystem Carbon Dynamics Under the Influences of Four Global Change Factors: Insights from EcoSIM and a Decadal Experiment (1938123)

Lei Zhang^1,2, William J Riley³, Margaret S Torn^3,4, Jinyun Tang³, Jing Tao³, Shuai Yang³, Robert F Grant⁵ and Peter Reich^2,6, (1)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States, (2)University of Michigan, Institute for Global Change Biology, Ann Arbor, United States, (3)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States, (4)University of California, Energy and Resources Group, Berkeley, United States, (5)University of Alberta, Department of Renewable Resources, Edmonton, AB, Canada, (6)University of Minnesota, Department of Forest Resources, Minnesota, United States

Advance in understanding of the changes in the carbon cycle and its linkage to the water cycle during the 2023-2024 El Niño in Amazon region (1938724)

Wenli Zhao¹, Jianing Fang¹, Kevin W Bowman² and Pierre Gentine¹, (1)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States

Predicting Ecosystem Respiration under Climate Extremes Requires Varying Parameters (1941843)

Cuihai You¹, Shiping Chen², Jian Zhou³, Chenyu Bian⁴, Fangxiu Wan⁵, Ning Wei⁶, Xingli Xia¹, Liuting Chen¹, Liming Yan¹ and Jianyang Xia¹, (1)East China Normal University, School of Ecological and Environmental Sciences, Shanghai, China, (2)Institute of Botany, Chinese Academy of Sciences, Beijing, China, (3)School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China, (4)Cornell University, Biological and Environmental Engineering, Ithaca, NY, United States, (5)East China Normal University, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Institute of Eco-Chongming, School of Ecological and Environmental Sciences, Shanghai, China, (6)Cornell University, School of Integrative Plant Science, Ithaca, United States

Can Process-Based Models Capture Soil Carbon Dynamics in Data Limited Regions? An Assessment of Model Performance in Sub-Sahara Africa (1948114)

Sophie von Fromm, Dartmouth College, Biological Sciences, Hanover, NH, United States, Rose Z Abramoff, University of Maine, Orono, United States, Christopher Anuo, Purdue University, West Lafayette, United States, Steve Kwatcho Kengdo, Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, United States, Stephen B. Asabere, Georg-August-Universitaet Goettingen, Goettingen, Germany, Jeanette Kanyiri, University of Nairobi, Nairobi, Kenya, Kwabena Nketia, University of Saskatchewan, Department of Plant Sciences, Saskatoon, SK, Canada, Katherine Rocci, Colorado State University, Soil and Crop Sciences, Fort Collins, United States, Admore Mureva, Bindura University of Science Education, Bindura, Zimbabwe and Lei Zhang, Lawrence Berkeley National Laboratory, Berkeley, United States

Improved Forecasting of Land and Atmosphere Processes using the Data Assimilation Research Testbed (DART) (1953899)

Brett M Raczka¹, Xueli Huo², John C Lin³, Jiameng Lai⁴, Zhenqi Luo⁴, Ying Sun⁵, Zhaoxia Pu⁶, Dongze Xu³, Moha Gharamti⁷ and Jeffrey L Anderson⁸, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)Arizona State University, School of Sustainability, Tempe, United States, (3)University of Utah, Department of Atmospheric Sciences, Salt Lake City, United States, (4)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, (5)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States, (6)University of Utah, Department of Atmospheric Sciences, Salt Lake City, UT, United States, (7)NSF National Center for Atmospheric Research, Computational and Information Systems Lab, Boulder, United States, (8)NCAR, Boulder, United States

Model structures determine the distribution of soil carbon age (1958082)

Lianlei Fu¹, Zheng Shi², Mengqi Jia³, Joshua B. Fisher¹, Tingting Chen⁴ and Honghua Ruan⁴, (1)Chapman University, Schmid College of Science and Technology, Orange, United States, (2)University of Oklahoma, Institute for Environmental Genomics, Department of Microbiology and Plant Biology, Norman, United States, (3)University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (4)Nanjing Forestry University, Nanjing, China

A Simple and Efficient Approach to Accelerate Carbon–Nitrogen Spin-Up in the DayCent Model (1964566)

Johny Arteaga¹, Melannie Diane Hartman², William J Parton², Darrin Sharp¹, Maosi Chen¹ and Wei Gao¹, (1)Colorado State University, UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Fort Collins, United States, (2)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States

Advancing Process-Based Modeling of Wetland Methane Emissions with Data-Driven Parameterization in ELM-Wet (1965033)

Justine E.C. Missik¹, Gil Bohrer¹, Theresia Yazbeck², Madeline Scyphers³, Eric J. Ward⁴, Jorge Villa⁵, Robert Bordelon⁶, Diana Taj⁶, William J Riley⁷, Qing Zhu⁸, Benjamin N Sulman⁹, Mikayla Borton³ and Kelly Wrighton¹⁰, (1)The Ohio State University, Department of Civil, Environmental and Geodetic Engineering, Columbus, United States, (2)Max Planck Institute for Biogeochemistry, Jena, Germany, (3)Colorado State University, Fort Collins, United States, (4)University of Maryland College Park, College Park, United States, (5)University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States, (6)University of Louisiana at Lafayette, School of Geosciences, Lafayette, LA, United States, (7)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States, (8)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (9)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (10)Colorado State University, Department of Soil and Crop Sciences, Fort Collins, United States

Uncertainty-aware surface soil organic carbon mapping in agricultural lands (1967019)

Nivedita Dubey¹, Amin Norouzi², Janardhan Rao Doppa³ and Kirti Rajagopalan², (1)Washington State University, Pullman, WA, United States, (2)Washington State University, Biological Systems Engineering, Pullman, WA, United States, (3)Washington State University, EECS, Pullman, United States

Enhancing the DayCent Grazing Sub-model to Simulate Regrowth and Trampling Effects in Managed Grasslands (1973737)

Susan Susan and Rodrigo Miranda, Agoro Carbon Alliance, Florida, United States

An Open Workflow to Generate Inventories and Scenario-based Projections of Greenhouse Gas Balance Across California’s Croplands. (1976256)

David LeBauer, The LeBauer Approach, LLC, Tucson, AZ, United States; University of Arizona, Tucson, United States, Chris Black, Pools and Fluxes LLC, Santa Barbara, United States, Mike Longfritz, Self, Boston, United States, Rob Kooper, National Center for Super Computing Applications, Urbana, United States and Michael Dietze, Boston University, Boston, United States

Advances in long-term global mapping of leaf photosynthesis for carbon cycle modelling (1977915)

Yihong Liu, University of Toronto, Department of Geography and Planning, Toronto, ON, Canada and Jing Ming Chen, University of Toronto, Department of Geography and Planning, Toronto, Canada

Implementing belowground control on nutrient uptake in a land surface model improves representation of a boreal peatland ecosystem (1982644)

Yaoping Wang¹, Daniel M Ricciuto², Jiafu Mao², Soren Weber³, Verity G Salmon⁴, Xiaoying Shi⁵, Xiaojuan Yang⁶, Natalie Griffiths⁷, Hanson Paul⁴, Jeff Warren⁸, Colleen M. Iversen⁹, Melanie A Mayes¹⁰ and Peter E Thornton², (1)Oak Ridge National Lab, Environmental Sciences Division, Oak Ridge, TN, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (3)Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, TN, United States, (4)Oak Ridge National Laboratory, Oak Ridge, United States, (5)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States, (6)Oak Ridge National Lab, Oak Ridge, TN, United States, (7)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (8)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, (9)Oak Ridge National Laboratory, Climate Change Science Institute and Environmental Sciences Division, Oak Ridge, United States, (10)ORNL, Environmental Science Division, Oak Ridge, United States

Deep Learning for Time Series Soil Carbon Prediction and Mapping in Hawaiʻi (1983459)

Aron Boettcher, University of Hawaii at Manoa, Geography and the Environment, Honolulu, HI, United States, Hayley Peter-Contesse, Oregon State University, Department of Forest Ecosystems and Society, Corvallis, United States, Susan E Crow, University of Hawaiʻi at Mānoa, Natural Resources and Environmental Management, Honolulu, United States and Sabine Grunwald, University of Florida, Soil, Water and Ecosystem Sciences Department, Gainesville, United States

Retrieving global canopy chlorophyll content from Sentinel-3 OLCI TOA data using a two-step upscaling method (1995747)

Dong Li and Kang Yu, Technical University of Munich, Munich, Germany

Modeling Below Ground Land Processes: a Meta Analysis of Land Models (1997513)

Anna Laure Gagné Landmann¹, Deborah N Huntzinger², Brendan Rogers³, Christina Schaedel³, Jon Wells⁴, Jeralyn M Poe⁵ and Heidrun Matthes⁶, (1)Northern Arizona University, School of Earth and Sustainability, Flagstaff, AZ, United States, (2)Northern Arizona University, School of Earth Sciences and Environmental Sustainability, Flagstaff, AZ, United States, (3)Woodwell Climate Research Center, Falmouth, United States, (4)University of Wisconsin-Madison, Department of Soil and Environmental Sciences, Madison, United States, (5)Northern Arizona University, Flagstaff, AZ, United States, (6)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Potsdam, Potsdam, Germany

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B002 Advances in land carbon cycle modeling

Session Description:

Co-Sponsor(s):

Index Terms:

B002
Advances in land carbon cycle modeling