B127
Vegetation canopies: physiology, structure, function

Session ID#: 80297

Session Description:
Vegetation canopy structure and function determine global rates of photosynthesis and transpiration and, thus, heavily influence the global carbon, water, and energy cycles. Key unknowns remain regarding how plant canopies respond to both temporal and spatial mesoclimatic changes, and the within-canopy microclimate. In this session, we will explore the relative roles of leaf physiology, phenology, microclimate, and canopy structure in determining ecosystem states, traits, and rates. We are particularly interested in studies that use novel approaches to examine changes in canopy form and function, particularly those that bridge traditional boundaries with new theory, observations, and models. We encourage submissions focused on vegetation canopies at any scale, including near-surface or remote sensing techniques, field and experimental observations. We also encourage empirical and modeling submissions examining canopy processes across scales, from seconds to decades and from the leaf to the globe.
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0416 Biogeophysics [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0476 Plant ecology [BIOGEOSCIENCES]

Primary Convener:  Trevor F Keenan, University of California Berkeley, Berkeley, CA, United States; Lawrence Berkeley National Laboratory, Berkeley, United States
Conveners:  Nicholas G Smith, Purdue University, West Lafayette, IN, United States, Cecilia Chavana-Bryant, Lawrence Berkeley National Lab., Berkeley, United States and Han Wang, Tsinghua University, Department of Earth System Science, Beijing, China
Primary Liaison:  Trevor F Keenan, Lawrence Berkeley National Laboratory, Berkeley, United States; University of California Berkeley, Berkeley, CA, United States
 
Dewfall and rain wetting dynamics in an old growth Pseudotsuga menziesii canopy: modelling canopy wetness with random forest classification for use with long term climate data (490908)
Adam Sibley1, Christopher J Still2, Mark Schulze1 and Adam Kennedy3, (1)Oregon State University, Corvallis, OR, United States, (2)Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States, (3)H.J. Andrews Experimental Forest, Corvallis, OR, United States
 
Variations in Amazonian forest canopy structure and light environments across environmental and disturbance gradients (499657)
Marielle Smith1, Juliana Schietti2, Nathan Gonçalves1, David Minor3, Danilo Roberti Alves de Almeida4, Daniel Gomes Rocha5, Susan Aragón6, Marcelo Menin7, Marcelino Carneiro Guedes8, Hélio Tonini9, Kátia Emídio da Silva10, Diogo Martins Rosa2, Bruce W Nelson2, Carlos Leandro Oliveira Cordeiro11, Raimundo Cosme Oliveira Junior12, Gang Shao1, Mendell S Souza13, Sean McMahon14, Daniel Almeida6, Luiz E. O. C. Aragão15, Gabriel De Oliveira16, Nicolas Zaslavsky de Lima6, Rafael Leandro de Assis17, Jose L Camargo17, Rita G Mesquita17, Scott R Saleska18, David D Breshears19, Flavia Regina Capellotto Costa2 and Scott C Stark1, (1)Michigan State University, Department of Forestry, East Lansing, MI, United States, (2)INPA National Institute of Amazonian Research, Manaus, Brazil, (3)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (4)University of São Paulo (USP/ESALQ), Department of Forest Sciences, “Luiz de Queiroz” College of Agriculture, Piracicaba, Brazil, (5)University of California Davis, Department of Wildlife, Fish, and Conservation Biology, Davis, CA, United States, (6)Universidade Federal do Oeste do Pará, Programa de Pós-Graduação em Recursos Naturais da Amazônia, Santarém, Brazil, (7)Universidade Federal do Amazonas (UFAM), Manaus, Brazil, (8)Embrapa Amapá, Macapá, Brazil, (9)Embrapa Pecuária Sul, Rio Grande do Sul, Brazil, (10)Embrapa Amazônia Ocidental, Manaus, Brazil, (11)Instituto Internacional para Sustentabilidade (IIS), Rio de Janeiro, Brazil, (12)Embrapa Amazônia Oriental, Santarém, Brazil, (13)Universidade Federal do Oeste do Pará, Santarém, Programa de Pós-Graduação em Recursos Naturais da Amazônia, Santarém, Brazil, (14)Smithsonian Environmental Research Center (SERC), Edgewater, MD, United States, (15)National Institute for Space Research, São José dos Campos, Brazil, (16)University of Kansas, Department of Geography and Atmospheric Science, Lawrence, KS, United States, (17)INPA National Institute of Amazonian Research, Biological Dynamics of Forest Fragments Project, Manaus, Brazil, (18)University of Arizona, Department of Ecology & Evolutionary Biology, Tucson, AZ, United States, (19)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
 
Constraints on Global Photosynthetic Capacity (Vcmax) Within Canopies (500362)
Elmera Azadpour, University of Utah, Salt Lake City, UT, United States, Trevor F Keenan, Lawrence Berkeley National Laboratory, Berkeley, United States and Cecilia Chavana-Bryant, Lawrence Berkeley National Lab., Berkeley, United States
 
Leaf Phenology as A Strategy for Carbon Maximization Under Stochastic Rainfall (508389)
Yaojie Lu, University of Minnesota, Department of Civil, Environmental, and Geo‐Engineering, Minneapolis, MN, United States and Xue Feng, University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States; University of Minnesota Twin Cities, St. Anthony Fall's Laboratory, Minneapolis, MN, United States
 
Species-specific relationship between leaf cooling and transpiration inferred from continuous on-site thermal imaging of tree canopy (511756)
Koong Yi, Jacob Smith, Andrew Jablonski, Elizabeth Tatham, Manuel T. Lerdau, Todd M Scanlon and Xi Yang, University of Virginia, Charlottesville, VA, United States
 
Diffuse light and wetness differentially affect leaf photosynthesis (518789)
Z. Carter Berry, Chapman University, Orange, CA, United States and Gregory R Goldsmith, Chapman University, Department of Biological Sciences, Orange, CA, United States
 
Evaluating the Performance of a Vegetation Demographic Model (ED.v2) in Drylands. (519771)
Hamid Dashti1, Karun Pandit1, Nancy F Glenn2, Nayani Ilangakoon1, Marie-Anne De Graaff1, Alejandro N Flores1, Susan Ustin3, Aaron Fellows4 and Gerald N Flerchinger5, (1)Boise State University, Boise, ID, United States, (2)Boise State Univ, Boise, ID, United States, (3)Univ California Davis, Davis, CA, United States, (4)US Dept Agr ARS, Boise, ID, United States, (5)USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, ID, United States
 
Leaf age and canopy structure co-dominant canopy spectral signatures and photosynthesis: A case study in sub-tropical evergreen forests (529476)
Qiaoli Wu1, Conghe Song2, Jinling Song1, Jindi Wang1, Shaoyuan Chen1 and Lei Yang1, (1)Beijing Normal University, Faculty of Geographical Science, Beijing, China, (2)University of North Carolina at Chapel Hill, Department of Geography, Chapel Hill, NC, United States
 
Observing and Modeling the Seasonal Profile of Leaf Area for a Mid-western No-till Corn/Soybean Ecosystem. (540437)
Tilden P Meyers1, Carl Bernacchi2, John Kochendorfer3, Mark Heuer1 and Timothy B Wilson4, (1)NOAA/ARL/ATDD, Oak Ridge, TN, United States, (2)University of Illinois at Urbana-Champaign, Department of Plant Biology, Urbana, IL, United States, (3)NOAA Oak Ridge, Atmospheric Turbulence and Diffusion Division, Oak Ridge, TN, United States, (4)NOAA ATDD, Oak Ridge, TN, United States
 
A simple model to simulate the seasonal changes in the canopy color of northern evergreen forests (542325)
Bijan Seyednasrollah1, Adam M Young2, Thomas E Milliman3, David R Bowling4 and Andrew D Richardson1, (1)Harvard University, Cambridge, MA, United States, (2)University of Idaho, Moscow, ID, United States, (3)Univ. of New Hampshire, Institute for the Study of Earth, Oceans and Space (EOS), Durham, NH, United States, (4)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States
 
Functional Phenology Changes after Nitrogen and Phosphorus Addition through Changing Structure and Physiology (543579)
Yunpeng Luo1, Tarek S. El-Madany1, Xuanlong Ma2, Martin Jung3, Edoardo Cremonese4, Gianluca Filippa4, Marta Galvagno5, Richard Nair1, Markus Reichstein3, Andrew D Richardson6, Annette Menzel7, Christine Römermann8, Mirco Migliavacca9 and Franziska Bucher10, (1)Max Planck Institute for Biogeochemistry, Jena, Germany, (2)Max-Planck Institute for Biogeochemistry, Jena, Germany, (3)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (4)Environmental Protection Agency of Aosta Valley, Aosta, Italy, (5)Environmental Protection Agency of Aosta Valley, Climate Change Unit, Aosta, Italy, (6)Northern Arizona University, Flagstaff, AZ, United States, (7)Technische Universität München, Ecoclimatology, Freising, Germany, (8)Friedrich Schiller University of Jena, Jena, Germany, (9)Max-Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (10)Institute of Systematic Botany, Friedrich Schiller University Jena, Jena, Germany
 
Evaluation of global maximum carboxylation rate of leaves using remotely sensed leaf chlorophyll content (545500)
Xiangzhong Luo, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Trevor F Keenan, Lawrence Berkeley National Laboratory, Berkeley, United States
 
How does stand age affect photosynthetic light use efficiency? A remote sensing observational approach across a white pine chronosequence in southern Ontario, Canada (548274)
Shangrong Lin, State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Beijing, China, Riccardo Tortini, University of California Los Angeles, Geography, Los Angeles, CA, United States, Nicholas C Coops, University of British Columbia, Vancouver, BC, Canada, Jia Wen, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China, Zoran Nesic, University of British Columbia, Faculty of Land and Food Systems, Vancouver, BC, Canada, Eric Beamesderfer, University of Wyoming, Ephrata, PA, United States and Muhammad Altaf Arain, McMaster University, Hamilton, ON, Canada
 
Representing Tall, Complex Canopies using Land Surface Models: Comparing CLM5 and CLM-ml to Sub-Canopy Data from a Costa Rican Rainforest (557331)
Jaeyoung Song1, Gretchen R Miller2, Anthony T Cahill2, Luiza Maria T Aparecido3 and Georgianne W Moore4, (1)Texas A&M University College Station, Civil Engineering, College Station, TX, United States, (2)Texas A & M University, Civil Engineering, College Station, TX, United States, (3)Arizona State University, School of Life Sciences, Tempe, AZ, United States, (4)Texas A&M University, Ecosystem Science and Management, College Station, TX, United States
 
On foliage clumping at the branch and landscape scales in forests, and its relation to light and water limitations (557667)
Martin Beland, Laval University, Quebec City, QC, Canada and Dennis D Baldocchi, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States
 
Epiphytic diversity and distribution along elevation gradients in a Costa Rican premontane rainforest (581269)
Olivia Santiago, Texas A&M University College Station, College Station, TX, United States, Daniel Spalink, Texas A&M University College Station, Ecosystem Science and Management, College Station, TX, United States, James K Brumbelow, Texas A&M University College Station, Civil Engineering, College Station, TX, United States and Georgianne W Moore, Texas A&M University, Ecosystem Science and Management, College Station, TX, United States
 
Modeling Plant Canopies in the Earth System: Moving Beyond the Big-Leaf Paradigm to Multilayered Canopies (592922)
Gordon B Bonan, National Center for Atmospheric Research, Climate & Global Dynamics Division, Boulder, CO, United States and Edward G Patton, National Center for Atmospheric Research, Mesoscale & Microscale Meteorology, Boulder, CO, United States
 
Improved assessment of dryland riparian vegetation water use at leaf- to landscape-scales using unmanned aerial vehicle (UAV)-based thermal remote sensing (594344)
Bryn Morgan1, Marc T Mayes2 and Kelly K Caylor1,3, (1)University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States, (2)University of California-Santa Barbara, Santa Barbara, CA, United States, (3)University of California Santa Barbara, Bren School of Environmental Science and Management, Santa Barbara, CA, United States
 
Do tropical and desert plant leaves trade carbon gain against non-lethal temperature maintenance? (620924)
Luiza Maria T Aparecido1, Hugo Galvão Cândido2, Abigail Pezelj3, Martha Ryan3, Klaus Winter4, Sean T Michaletz5, Kevin R Hultine6, Martijn Slot4 and Ben Blonder7, (1)Arizona State University, School of Life Sciences, Tempe, AZ, United States, (2)University of British Columbia, Vancouver, Canada, (3)Arizona State University, School of Life Sciences, Tempe, United States, (4)Smithsonian Tropical Research Institute, Balboa, Panama, (5)University of British Columbia, Department of Botany and Biodiversity Research Centre, Vancouver, Canada, (6)Desert Botanical Garden, Research, Conservation, and Collections, Phoenix, AZ, United States, (7)Arizona State University, Tempe, AZ, United States
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