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Functional Traits Affecting Photosynthesis, Growth, and Mortality of Trees Inferred from a Field Study and Simulation Experiments


Abstract Functional traits research has improved our understanding of how plants respond to their environments, identifying key trade-offs among traits. These studies primarily rely on correlative methods to infer trade-offs and often overlook traits that are difficult to measure (e.g., root traits, tissue senescence rates), limiting their predictive ability under novel conditions. I aimed to address these limitations and develop a better understanding of the trait space occupied by trees by integrating data and process models, spanning leaves to whole-trees, via modern statistical and computational methods. My first research chapter (Chapter 2) simultaneously fits a photosynthesis model to measurements of fluorescence and photosynthetic response cu... (more)
Created Date 2017
Contributor Fell, Michael (Author) / Ogle, Kiona (Advisor) / Barber, Jarrett (Committee member) / Hultine, Kevin (Committee member) / Franklin, Janet (Committee member) / Day, Thomas (Committee member) / Arizona State University (Publisher)
Subject Ecology / Biology / Bayesian model / environmental filtering / mesophyll conductance / North American trees / plant functional traits / trade-offs
Type Doctoral Dissertation
Extent 246 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Biology 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis