B23F:
Optimality Concepts for Terrestrial Ecosystem Modeling Posters

Tuesday, 16 December 2014: 1:40 PM-6:00 PM
Chairs:  Han Wang, Macquarie University, Sydney, NSW, Australia and Iain Colin Prentice, Imperial College London, Grantham Institute and Division of Biology, London, United Kingdom
Primary Conveners:  Han Wang, Macquarie University, Sydney, NSW, Australia
Co-conveners:  Iain Colin Prentice, Imperial College London, Grantham Institute and Division of Biology, London, United Kingdom and Sandy P Harrison, University of Reading, Reading, United Kingdom
OSPA Liaisons:  Han Wang, Macquarie University, Sydney, NSW, Australia

Abstracts Submitted to this Session:

 
Future Forest Production and Net Carbon Sinks under Optimal C:N Balance
Annikki Makela1, Tuomo Kalliokoski2 and Mikko Peltoniemi2, (1)University of Helsinki, Helsinki, Finland, (2)Finnish Forest Research Institute, Vantaa, Finland
 
A model using marginal efficiency of investment to analyse carbon and nitrogen interactions in forested ecosystems
R. Quinn Thomas, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States and Mathew Williams, University of Edinburgh, School of GeoSciences, Edinburgh, United Kingdom
 
Functional and Structural Optimality in Plant Growth: A Crop Modelling Case Study
Silvia Caldararu, Drew W Purves and Matthew J Smith, Microsoft Research, Cambridge, United Kingdom
 
Trait-Based Ecosystem Modeling: Integrating Community Assembly and Optimality Concepts into Dgvms
Simon Scheiter, Senckenberg Research Institute, Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany, Liam Langan, Goethe University Frankfurt, Physical Geography, Frankfurt, Germany and Steven I. Higgins, University of Otago, Department of Botany, Dunedin, New Zealand
 
Predicting long-term responses of vegetation water use to elevated atmospheric CO2
Stanislaus J Schymanski, ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, Michael L Roderick, Australian National University, Canberra, Australia and Murugesu Sivapalan, University of Illinois, Urbana-Champaign, Urbana-Champaign, IL, United States
 
Optimal Stomatal Behaviour Around the World: Synthesis of a Global Stomatal Conductance Database and Scaling from Leaf to Ecosystem
Yan-Shih Lin1, Belinda Elizabeth Medlyn2, Remko Duursma3, Iain Colin Prentice2,4 and Han Wang1, (1)Macquarie University, Sydney, NSW, Australia, (2)Macquarie University, Sydney, Australia, (3)University of Western Sydney, South Windsor, Australia, (4)Imperial College London, Ascot, United Kingdom
 
Leaf Area Adjustment As an Optimal Drought-Adaptation Strategy
Stefano Manzoni1, Friderike Beyer2, Sally E Thompson3, Giulia Vico2 and Martin Weih2, (1)Stockholm University, Stockholm, Sweden, (2)SLU Swedish University of Agricultural Sciences Uppsala, Uppsala, Sweden, (3)University of California Berkeley, Berkeley, CA, United States
 
Optimal Traits of Plant Hydraulic Architecture for Rock-Dominated Landscapes
Susan Schwinning, Texas State University San Marcos, San Marcos, TX, United States
 
Modulation of Leaf Economic Traits and Rates by Soil Properties, at Global Scale
Vincent Maire, Organization Not Listed, Washington, DC, United States, Ian J. Wright, Macquarie University, Sydney, Australia, Peter B. Reich, University of Minnesota Morris, Morris, MN, United States, Batjes Niels, ISRIC - World Soil Information, Wageningen, Netherlands, Peter M. van Bodegom, Free University of Amsterdam, Amsterdam, Netherlands, Radika Bhaskar, Brown University, Providence, RI, United States, Louis S Santiago, University of California Riverside, Chino, CA, United States, David Ellsworth, University of Western Sydney, Penrith, Australia, Ulo Niinemets, Estonian University of Life Sciences, Tartu, Estonia and Will Cornwell, University of New South Wales, Sydney, Australia
 
Biophysical control of leaf temperature
Ning Dong1, Iain Colin Prentice2,3 and Ian J. Wright3, (1)Macquarie University, Sydney, NSW, Australia, (2)Imperial College London, Ascot, United Kingdom, (3)Macquarie University, Sydney, Australia
 
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