Next Generation of Land Ecosystem Models: Optimality, Acclimation, and Adaptation Principles in Theory and Practice I

Session ID#: 7520

Session Description:
The optimality principle proposes that organisms adjust to environmental variations so as to maximize measures that impinge on fitness, and are thereby subject to natural selection. A generalization is that ecosystem function is maintained by acclimation within individuals, adaptation within species, changing abundances within ecosystems, and migration within regions.

In an emerging paradigm, optimality concepts are used to generate testable predictions at multiple scales. This approach may eventually resolve the stubborn, largely untraceable differences among current ecosystem models’ projections of the impacts of environmental change. Optimality concepts have been applied to aspects of plant and ecosystem function including stomatal behaviour, plant water use and photosynthetic capacity, nitrogen uptake, and phenology. To seed communication and collaboration among pioneers of this field, including observational scientists and experimental ecologists, we invite contributions on all topics related to optimality principles in plant and ecosystem function including theoretical analyses, experimental tests, and models.

Primary Convener:  Han Wang, Macquarie University, Sydney, Australia
Convener:  Iain Colin Prentice, Macquarie University, Department of Biological Sciences, Sydney, Australia; Imperial College London, Department of Life Sciences, London, United Kingdom
Chairs:  Han Wang, Northwest A&F University, Yangling, China, Ian J Wright, Macquarie University, Sydney, NSW, Australia and Changhui Peng, University of Quebec at Montreal UQAM, Department of Biology Sciences, Montreal, QC, Canada
OSPA Liaison:  Han Wang, Northwest A&F University, Yangling, China

  • GC - Global Environmental Change
  • H - Hydrology
  • IGBP: International Geosphere-Biosphere Programme -
Index Terms:

Abstracts Submitted to this Session:

Sandy P Harrison, University of Reading, School of Archaeology, Geography and Environmental Sciences (SAGES), Reading, RG6, United Kingdom, Guangqi Li, University of Reading, Geography and Environmental Sciences, Reading, RG6, United Kingdom and Iain COLIN C Prentice, Imperial College London, AXA Chair of Biosphere and Climate Impacts, Department of Life Sciences, London, United Kingdom
Benjamin David Stocker, Imperial College London, London, SW7, United Kingdom and Iain Colin Prentice, Northwest A&F University, Yangling, China
Ensheng Weng1, Caroline Farrior2, Ray Dybzinski1 and Stephen W Pacala3, (1)Princeton University, Princeton, NJ, United States, (2)National Institute for Mathematical and Biological Synthesis, Knoxville, TN, United States, (3)Princeton University, Ecology and Evolutionary Biology, Princeton, NJ, United States
Chonggang Xu1, Ashehad Ashween Ali2, Rosie Fisher3, Stan D Wullschleger4, Alistair Rogers5, Nathan G McDowell1 and Cathy Jean Wilson1, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Organization Not Listed, Washington, DC, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States, (4)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, (5)Brookhaven National Laboratory, Upton, NY, United States
Trevor F Keenan, Lawrence Berkeley National Laboratory, Berkeley, United States, Iain Colin Prentice, Imperial College London, Grantham Institute and Division of Biology, London, United Kingdom; Imperial College London, London, United Kingdom, Han Wang, Northwest A&F University, Yangling, China, Ian J Wright, Macquarie University, Sydney, NSW, Australia, Vincent Maire, University of Quebec in Trois-Rivières, Montreal, QC, Canada and Ning Dong, Macquarie University, Sydney, Australia
Ian J Wright1, Iain Colin Prentice2, Ning Dong1 and Vincent Maire3, (1)Macquarie University, Sydney, NSW, Australia, (2)Northwest A&F University, Yangling, China, (3)University of Quebec, Trois Rivieres, Canada
Oskar Franklin1, Peter Fransson2 and Åke Brännström2, (1)IIASA International Institute for Applied Systems Analysis, Ecosystem Services and Management Program, Laxenburg, Austria, (2)Umeå University, Department of Mathematics and Mathematical Statistics, Umeå, Sweden
Lina M Mercado, University of Exeter, Exeter, United Kingdom, Belinda Medlyn, Western Sydney University, Hawkesbury Institute for the Environment, Sydney, Australia, Chris Huntingford, Centre for Ecology and Hydrology, Wallingford, United Kingdom, Stephen Sitch, University of Exeter, College of Life and Environmental Sciences, Exeter, United Kingdom, Przemyslaw Zelazowsk, University of Warsaw, Centre of New Technologies, Warsaw, Poland and Peter Michael Cox, University of Exeter, College of Mathematics, Engineering, and Physical Sciences, Exeter, United Kingdom

See more of: Biogeosciences