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

Thursday, 17 December 2015: 13:40-18:00
Poster Hall (Moscone South)
Primary Conveners:  Han Wang, Macquarie University, Sydney, Australia
Conveners:  Iain Colin Prentice, Macquarie University, Sydney, Australia; Imperial College London, London, United Kingdom
Chairs:  Han Wang, Northwest A&F University, Yangling, China and Changhui Peng, University of Quebec at Montreal UQAM, Montreal, QC, Canada
OSPA Liaisons:  Han Wang, Northwest A&F University, Yangling, China
Carbon Storage in an Extensive Karst-distributed Region of Southwestern China based on Multiple Methods (65914)
Chunzi Guo1, Yangyang Wu1,2, Huamei Yang1 and Jian Ni3, (1)Institute of Geochemistry, Chinese Academy of Sciences (CAS), Guiyang, China, (2)GUCAS Graduate University of Chinese Academy of Sciences, Beijing, China, (3)Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China
Dynamic Root Distribution in the Community Land Model (80427)
Beth A Drewniak, Argonne National Laboratory, Argonne, IL, United States
Towards a Representation of Flexible Canopy N Stiochiometry for Land-surface Models Based on Optimality Concepts (78419)
Soenke Zaehle, Max Planck Institute for Biogeochemistry, Jena, Germany
A Novel Approach to Modeling Vegetation Distributions and Analyzing Vegetation Sensitivity Through Trait-Climate Relationships In China (71439)
Yanzheng Yang1, Changhui Peng2, Qiuan Zhu1 and Han Wang3, (1)Northwest A&F University, college of forestry, Yangling, China, (2)University of Quebec at Montreal UQAM, Montreal, QC, Canada, (3)Northwest A&F University, Yangling, China
Is nutrient uptake by plant roots sensitive to the rate of mass flow? Reappraisal of an old chestnut for spatially distributed root systems (78663)
Ross E McMurtrie, University of New South Wales, Sydney, Australia and Torgny Näsholm, Swedish University of Agricultural Sciences, Department of Forest Ecology and Management, Umeå, Sweden
Plant functional types are more efficient than climate in predicting spectrums of trait variation in evergreen angiosperm trees of tropical Australia and China (59196)
Henrique Furstenau Togashi1,2, Iain C Prentice1,3, Owen K Atkin4,5, Keith J Bloomfield4, Matt Bradford6, Lasantha K Weerasinghe4,7, Sandy P Harrison8, Bradley John Evans2,9, Michael J Liddell10, Han Wang11, Kun-Fang Cao12 and Ze-xin Fan13, (1)Macquarie University, Sydney, Australia, (2)Terrestrial Ecosystem Research Network Ecosystem Modelling and Scaling Infrastructure, Macquarie University 2109 and University of Sydney 2006, NSW, Australia, Sydney, Australia, (3)AXA Chair of Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute, Climate Change and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5, London, United Kingdom, (4)Division of Plant Sciences, Research School of Biology, Australian National University, Canberra, Australia, Canberra, Australia, (5)ARC Centre of Excellence in Plant Energy Biology, Research School of Biology, Australian National University, Canberra, Australia, Canberra, Australia, (6)CSIRO Land and Water, Tropical Forest Research Centre, P.O. Box 780, Atherton, Q, 4883, Australia, Atherton, Australia, (7)Faculty of Agriculture, University of Peradeniya, Peradeniya 20400, Sri Lanka, Peradeniya, Sri Lanka, (8)University of Reading, Reading, United Kingdom, (9)Macquarie University, SOUTH TURRAMURRA, Australia, (10)Discipline of Chemistry & Centre for Tropical Environmental and Sustainable Sciences, James Cook University, Cairns, Qld, Australia, Cairns, Australia, (11)Northwest A&F University, Yangling, China, (12)State Key Laboratory for Conservation and Utilization of Subtropical Agrobioresources, and College of Forestry, Guangxi University, Nanning 530004, Guangxi, China, Guangxi, China, (13)Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menla 666303, China., Menla, China
Field Evidence for Optimal Acclimation of Leaf Nitrogen to Environmental Gradients (71675)
Ning Dong, Macquarie University, Sydney, NSW, Australia
Fine Scale ANUClimate Data for Ecosystem Modeling and Assessment of Plant Functional Types (78502)
Michael F Hutchinson, Australian National University, Canberra, ACT, Australia
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