B037
Novel Paradigms in Terrestrial Ecosystem Modeling
Session ID#: 161794
Session Description:
Mechanistic and functional representations of terrestrial ecosystems are key for understanding, resolving and predicting ecosystem current and future states, including plant biomass, ecohydrological variables, carbon and nutrient cycles, species composition and functional traits. However, canonical paradigms for modeling terrestrial ecosystem and vegetation processes, including source-driven allocation, steady state assumptions, plant functional types, and functional homogeneity are proving increasingly limited for present-day scientific and societal challenges. This session focuses on novel paradigms for modeling vegetation related processes, from individuals to continental scales, with the aim to advance representation of ecosystem function in terrestrial biosphere and Earth system models. Submissions can highlight recent progress on a range of themes including plant optimality theory, sink-driven allocation, functional diversity, nutrient cycling, plant-mycorrhiza interactions, community structure under change, and can focus on their fundamental formulation, experimental validation and/or applications in broader terrestrial ecosystem modeling frameworks.
Index Terms:
0410 Biodiversity [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0470 Nutrients and nutrient cycling [BIOGEOSCIENCES]
Primary Convener: Renato Kerches Braghiere, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners: Alexander Norton, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Kimberley Rain Miner, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Julia K. Green, Columbia University in the City of New York, Palisades, NY, United States
Eco-evolutionary Optimality in the Context of Vegetation Modelling (1077684)
Sandy P Harrison, University of Reading, School of Archaeology, Geography and Environmental Sciences (SAGES), Reading, RG6, United Kingdom, Iain Colin Prentice, Imperial College London, Department of Life Sciences, London, United Kingdom and LEMONTREE Project Members
Quantifying the Time Scale of Stomatal Optimization (1094400)
Nataniel Holtzman1, Brandon Sloan2, Aaron Potkay3, Xue Feng4 and Alexandra G Konings1, (1)Stanford University, Department of Earth System Science, Stanford, CA, United States, (2)University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States, (3)University of Minnesota Twin Cities, Minneapolis, United States, (4)University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, United States
Using Ecohydrological Optimality to Parameterize Plant Water Use Strategies (1101242)
Maoya Bassiouni, University of California Berkeley, Berkeley, CA, United States, Stefano Manzoni, Stockholm University, Physical Geography, Stockholm, Sweden, Giulia Vico, SLU Swedish University of Agricultural Sciences Uppsala, Uppsala, Sweden and Trevor F Keenan, Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, United States
Are dynamic vegetation models the best way to predict ecosystem change under climate stress? (Invited) (1124129)
Anna T Trugman, University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States and Gregory Ross Quetin, Stanford University, Department of Earth System Science, Stanford, CA, United States
Observed forest trait velocities have not kept pace with hydraulic stress from climate change (1128310)
Gregory Ross Quetin1, Leander DL Anderegg2, Indra Boving2, William Anderegg3 and Anna T Trugman4, (1)University of California Santa Barbara, Department of Geography, Santa Barbara, United States, (2)University of California Santa Barbara, Ecology, Evolution & Marine Biology, Santa Barbara, United States, (3)University of Utah, School of Biological Sciences, Salt Lake City, United States, (4)University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States
Game-theoretic modeling of vegetation composition, structure, and dynamics: physical constraints, fundamental processes, and emergent properties (1128687)
Ensheng Weng, Columbia University, Center for Climate Systems Research, New York, United States, Ray Dybzinski, Loyola University Chicago, Chicago, United States, Caroline E. Farrior, University of Texas at Austin, Integrative Biology, Austin, TX, United States, Xiangtao Xu, Cornell University, Ecology & Evolutionary Biology, Ithaca, NY, United States, Matteo Detto, Princeton University, Princeton, United States, Michael Joseph Puma, Columbia University in the City of New York, Center for Climate Systems Research, New York, NY, United States, Sonali Shukla McDermid, New York University, Environmental Studies, New York, NY, United States and Benjamin Cook, NASA-GISS, New York, NY, United States
Combining nutrient competition, dynamic vegetation, and parameter calibration to improve projected boreal forest responses to changing climate (1137675)
Jennifer A. Holm1, William J Riley2, Ryan Knox1, Qing Zhu3, Daniel M Ricciuto4 and Khachik Sargsyan5, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, United States, (3)Lawrence Berkeley National Laboratory, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (4)Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States, (5)Sandia National Laboratories, Albuquerque, NM, United States
Impacts of Liana-Tree Competition on Canopy Leaf Area and Tree and Liana Mortality within an Individual-Based Forest Dynamics Model (1166125)
David Medvigy, University of Notre Dame, Biological Sciences, Notre Dame, IN, United States, Seth Michael Parker, University of Idaho, Moscow, ID, United States, Isabelle Marechaux, Institut national de la recherche agronomique, Monpellier, France, Jérome Chave, CNRS, Laboratoire Evolution et Diversité Biologique, Toulouse, France, Chris M Smith-Martin, Columbia University of New York, Ecology, Evolution and Environmental Biology, New York City, NY, United States and Jennifer S Powers, University of Minnesota Twin Cities, Department of Ecology, Evolution and Behavior, Minneapolis, MN, United States
Non-steady-state Stomatal Conductance Modeling and Its Implications: From Leaf to Ecosystem (1188547)
Ke Liu1, Yujie Wang1, Troy Magney2 and Christian Frankenberg1,3, (1)California Institute of Technology, Pasadena, United States, (2)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States
Determining the role of future warming, drought, and CO2 on fire in the Southern California chaparral-grassland ecosystem (1194370)
Alexandra K Jonko1, Zachary Robbins2, Wu Ma3, Chonggang Xu4, Stefan Rahimi5, Rutuja Chitra-Tarak6, Xiulin Gao7, Charles Koven8, Lara M Kueppers8 and Polly Boutte9, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)North Carolina State University Raleigh, Raleigh, NC, United States, (3)Finite Carbon, Tallahasse, United States, (4)Los Alamos National Lab, Los Alamos, United States, (5)University of Wyoming, Department of Atmospheric Science, Laramie, WY, United States, (6)Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos, NM, United States, (7)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (8)University of California Berkeley, Energy and Resources Group, Berkeley, United States, (9)University of California Berkeley, Berkeley, United States
Optimality based Physics Informed Neural Network for stomatal conductance modeling under heat and soil water stress (1195645)
Jisu Han, Columbia University, Earth and Environmental Engineering, New York, NY, United States and Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States; Columbia University, Earth Institute, New York, United States
