B21B:
Constraining Ecosystem Carbon Uptake and Long-Term Storage using Models and Data I Posters

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Session ID#: 13881

Session Description:
Terrestrial ecosystems mitigate anthropogenic carbon release by taking up and storing carbon in biomass and soils. A series of model inter-comparisons and data assimilation studies have used eddy covariance measurements to validate and constrain land surface models however decadal and centennial processes are usually poorly constrained by data. Also there are many other data sources which could inform long term carbon storage (primary productivity, biometric measurements, tree rings, paleo-metrics, land use, plant community records, pollen records etc.). This session will focus on both short and long term processes with controlling ecosystem carbon uptake and storage using both modeling and observational approaches.
Primary Convener:  David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Conveners:  David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States and Valerie Trouet, University of Arizona, Laboratory of Tree-Ring Research, Tucson, AZ, United States
Chairs:  David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States and Valerie Trouet, University of Arizona, Laboratory of Tree-Ring Research, Tucson, AZ, United States
OSPA Liaison:  David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Multi-centennial ecosystem modelling in northeastern America at the species level (183075)
Joerg Steinkamp1, Andre Biskupovic2, Christine Rollinson3, Andria Dawson4, Simon J Goring5, Jason S McLachlan6, David J Mladenoff7, Jack Williams8 and Thomas Hickler1,2, (1)Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt/Main, Germany, (2)Institute of Physical Geography, Goethe-University Frankfurt am Main, Frankfurt/Main, Germany, (3)Boston University, Boston, United States, (4)University of California Berkeley, Berkeley, United States, (5)University of Wisconsin Madison, Department of Geography, Center for Climatic Research, & Data Science Institute, Madison, United States, (6)University of Notre Dame, Notre Dame, IN, United States, (7)University of Wisconsin Madison, Madison, WI, United States, (8)University of Wisconsin-Madison, Department of Geography, Madison, WI, United States
Partitioning sources of uncertainty in projecting the impact of future climate extremes on site to regional ecosystem carbon cycling (162088)
James Simkins1, Ankur R Desai2, Elizabeth Cowdery3, Michael Dietze3 and Christine Rollinson4, (1)University of Wisconsin Madison, Madison, WI, United States, (2)University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, (3)Boston University, Boston, MA, United States, (4)Boston University, Boston, United States
Climate data induced uncertainty in model based estimations of terrestrial primary productivity (120165)
Zhendong Wu1, Anders Ahlström2, Benjamin Smith3, Jonas Ardö4, Lars Eklundh4, Rasmus Fensholt5 and Veiko Lehsten6, (1)Lund University, Department of physical geography and ecosystem science, Lund, Sweden, (2)Stanford University, Stanford, CA, United States, (3)Vycarb Inc., Brooklyn, NY, United States, (4)Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, (5)University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark, (6)Lund University, Lund, Sweden
Assimilating Eddy-covariance Flux into an Ecosystem Model: A Case Study in China’s Forest Ecosystem (122743)
Yue Li, University of California, Los Angeles (UCLA), Department of Geography, Los Angeles, United States and Shilong Piao, Peking University, Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Beijing, China
Climatic Controls on Forest Productivity in Western North America; Variability, Covariability, and Projected Change (180460)
Linnia R Hawkins, Columbia University, Department of Earth and Environmental Engineering, New York, United States, David E Rupp, Oregon Climate Change Research Institute, CEOAS/OSU, Corvallis, OR, United States, Sihan Li, Oregon State University, Corvallis, OR, United States, Philip Mote, Oregon Climate Change Research Institute, Corvallis, OR, United States, Sarah Sparrow, University of Oxford, Oxford, United Kingdom and Neil Massey, University of Oxford, ECI/School of Geography and the Environment, Oxford, United Kingdom
Coupling tree rings and eddy covariance to estimate long-term above and belowground carbon storage at the stand level (143615)
Alex Dye1, M Ross Alexander2, Daniel Bishop3, Neil Pederson3 and Amy E Hessl4, (1)West Virginia University, Morgantown, WV, United States, (2)University of Arizona, Tucson, AZ, United States, (3)Harvard University, Harvard Forest, Cambridge, MA, United States, (4)West Virginia University, Geology and Geography, Morgantown, WV, United States
Long-lived and Robust Land-Atmosphere Flux Bias Estimation via SIF and NEE (163767)
Nicholas M Geyer, Colorado State University, Fort Collins, CO, United States, A Scott Denning, Colorado State University, Department of Atmospheric Science, Fort Collins, CO, United States, Ian T Baker, Colorado State University, CIRA, Fort Collins, United States and Katherine D Haynes, Colorado State University, Atmospheric Sciences, Fort Collins, United States
A Model-Data Intercomparison of Carbon Fluxes, Pools, and LAI in the Community Land Model (CLM) and Alternative Carbon Allocation Schemes (169872)
Francesc Montane1, Andrew M Fox2, Avelino F Arellano Jr3, M Ross Alexander4 and David JP Moore1, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (4)University of Arizona, Tucson, AZ, United States
Study on a Dynamic Vegetation Model for Simulating Land Surface Flux Exchanges at Lien-Hua-Chih Flux Observation Site in Taiwan (178165)
Tzu-Ying Yeh1, Ming-Hsu Li2, YI-Ying Chen3, James Ryder4, Matthew McGrath5, Juliane El Zohb6, Kim Naudts7, Sebastiaan Luyssaert8, Natasha MacBean5 and Vladislav Bastrikov5, (1)National Central University, Kanagawa, Japan, (2)National Central University, Graduate Institute of Hydrological and Oceanic Sciences, Taoyuan, Taiwan, (3)Academia Sinica, Research Center for Environmental Changes, Taipei, Taiwan, (4)National Physical Laboratory, Teddington, United Kingdom, (5)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (6)Helmholtz-Zentrum Geesthacht, Climate Service Center 2.0, Hamburg, Germany, (7)Vrije Universiteit Amsterdam, Earth and Climate Cluster, Amsterdam, Netherlands, (8)Vrije Universiteit Amsterdam, Department of Ecological Sciences, Amsterdam, Netherlands
Impacts of the Pacific Decadal Oscillation on vegetation productivity across the North American Great Plains (169123)
William Kolby Smith1, William J Parton2, Stephen J Del Grosso3, Nathan Mueller4, Melannie Diane Hartman2 and Justin D Derner5, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)Colorado State University, Natural Resource Ecology Laboratory, Fort Collins, United States, (3)USDA -ARS, Fort Collins, United States, (4)University of California, Irvine, Irvine, CA, United States, (5)USDA ARS, Northern Plains Regional Climate Hub, Cheyenne, WY, United States
Combining remote sensing and watershed modeling for regional-scale carbon cycling studies in disturbance-prone systems (160814)
Erin J Hanan, Washington State University, Civil & Environmental Engineering, Pullman, WA, United States, Christina (Naomi) Tague, University of California Santa Barbara, Bren School of Environmental Science & Management, Santa Barbara, CA, United States, Janet Choate, University of California Santa Barbara, Bren School of Environmental Science and Management, Santa Barbara, CA, United States, Mingliang Liu, Washington State University, Civil and Environmental Engineering, Pullman, WA, United States and Jennifer C Adam, Washington State University, Civil and Environmental Engineering, Pullman, United States
Landform and soils control successional trajectories of forest composition and biomass accumulation in a north-temperate forest landscape (131101)
Lucas E Nave, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Christopher Michael Gough, Virginia Commonwealth University, Biology, Richmond, VA, United States and Knute John Nadelhoffer, University of Michigan Ann Arbor, Ecology and Evolutionary Biology, Ann Arbor, MI, United States
Sensitivity of long-term soil carbon storage to vegetation parameter uncertainty in the GISS ModelE2 Earth System Model C4MIP experiments. (196096)
Igor D Aleinov1, Nancy Y Kiang2 and Carlo Montes2, (1)Columbia University of New York, Palisades, NY, United States, (2)NASA Goddard Institute for Space Studies, New York, NY, United States

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