B54A:
Emergent Behavior in the Terrestrial Carbon Cycle II


Submit an Abstract to this Session


Session ID#: 59748

Session Description:
Emergent patterns in both models and observations repeatedly hint at simpler aggregate responses within the complexity of the terrestrial carbon cycle; knowledge of these can accelerate our capacity to advance understanding of the terrestrial biosphere and to eliminate plausible but inaccurate representations. We are entering an era of high dimensional and increasingly informative Earth observations with more power to inform models, but the power of these new observations is just being tapped. This session will focus on the identification of modes and function emerging from terrestrial ecosystem carbon models and observations, with the aim to advance fundamental understanding of terrestrial carbon cycling. We welcome submissions highlighting recent progress on a range of themes spanning from emergent behavior in terrestrial biosphere models, model emulation and optimal model complexity theory to corresponding emergent patterns in satellite and aircraft observations, in-situ measurements, global in-situ datasets and terrestrial carbon cycle model-data fusion analyses.
Primary Convener:  A. Anthony Bloom, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners:  Junjie Liu1, Alexandra G Konings2 and Nicholas Parazoo1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States(2)Stanford University, Earth System Science, Stanford, CA, United States
Primary Liaison:  A. Anthony Bloom, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs:  Nicholas Parazoo, Jet Propulsion Laboratory (JPL), California Institute of Technology, Pasadena, United States and Junjie Liu, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
OSPA Liaison:  Alexandra G Konings, Stanford University, Earth System Science, Stanford, CA, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

0428 Carbon cycling [BIOGEOSCIENCES]
0429 Climate dynamics [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Moving Ecosystem Carbon Cycle Models Forward: Strategies for Improved Assessment and Prediction (431631)
Christopher A Williams, Clark University, Worcester, United States, Dr. Yu Zhou, Clark University, Graduate School of Geography, Worcester, United States, Huan Gu, Clark University, Geography, Worcester, MA, United States, Sha Feng, Pacific Northwest National Laboratory, Richland, United States, Thomas Lauvaux, Pennsylvania State University Main Campus, Department of Meteorology and Atmospheric Science, University Park, United States, Klaus Keller, Dartmouth College, Thayer School of Engineering, Hanover, United States and Kenneth J Davis, Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States
Ecosystem memory alters the carbon cycle response to interannual climate variations (Invited) (392934)
Gretchen Keppel-Aleks1, Jessica M Liptak2, Allison Hogikyan3, Aaron S S Wolf3 and Scott C Doney4, (1)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, United States, (2)Engility, Princeton, NJ, United States, (3)University of Michigan Ann Arbor, Ann Arbor, United States, (4)University of Virginia, Department of Environmental Sciences, Charlottesville, VA, United States
Higher than expected CO2 fertilisation inferred from leaf to global observations (398918)
Vanessa Elizabeth Haverd, CSIRO Oceans and Atmosphere, Canberra, ACT, Australia, Benjamin Smith, Lund University, Lund, Sweden, Josep Gili Canadell, CSIRO Ocean and Atmosphere, Canberra, ACT, Australia, Matthias Cuntz, INRA Institut National de la Recherche Agronomique, Paris Cedex 07, France, Sara Mikaloff-Fletcher, NIWA National Institute of Water and Atmospheric Research, Wellington, New Zealand, Graham D Farquhar, Australian National University, Canberra, ACT, Australia, Will Woodgate, CSIRO Canberra, Canberra, ACT, Australia, Peter Briggs, CSIRO Environment, Canberra, Australia and Cathy M Trudinger, CSIRO Environment, Aspendale, Australia
Unifying land carbon cycle models (387529)
Yiqi Luo, Northern Arizona University, Center for Ecosystem Sciences and Society (ECOSS), Flagstaff, United States, Yuanyuan Huang, LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, Carlos A Sierra, Max Planck Institute for Biogeochemistry, Theoretical Ecosystem Ecology, Jena, Germany and Jianyang Xia, East China Normal University, School of Ecological and Environmental Sciences, Shanghai, China
Evaluating the role of fire disturbances in coupled carbon-energy-water cycles for the Southeast U.S. with a predictive phenology model (431738)
Lauren Lowman, Wake Forest University, Winston-Salem, NC, United States and Ana Paula Barros, Duke University, Durham, NC, United States
Detection and Attribution of Climate-Driven Changes in Terrestrial Soils (Invited) (424746)
Ben P Bond-Lamberty, Pacific Northwest National Laboratory, Joint Global Change Research Institute, Richland, WA, United States, Vanessa L Bailey, Pacific Northwest National Laboratory, Richland, WA, United States, Min Chen, University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, WI, United States, Christopher Michael Gough, Virginia Commonwealth University, Biology, Richmond, VA, United States and Prof. Rodrigo Vargas, Arizona State University, School of Life Sciences, Tempe, United States
Emergent Patterns in Global Forest Carbon Dynamics (461694)
Liang Xu1, Sassan Saatchi2, Yan Yang3, Yifan Yu2, A. Anthony Bloom1, Kevin W Bowman2, John R Worden4, Yi Yin5 and David Schimel6, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)California Institute of Technology, Seismological Laboratory, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)California Institute of Technology, Pasadena, CA, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States

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