COS 114-8 - The role of leaf orientation and leaf physiology in the maximization of whole plant carbon gain

Thursday, August 9, 2007: 10:30 AM
Almaden Blrm II, San Jose Hilton
Juan Posada1, Risto Sievanen2, Jari Perttunen2, Christian Messier3 and Eero Nikinmaa4, (1)Center for Forest Research (CFR), Biology Department, Université du Québec à Montréal, Montreal, QC, Canada, (2)The Finnish Forest Research Institute, Vantaa, Finland, (3)Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, QC, Canada, (4)Department of Forest Ecology, University of Helsinki, Helsinki, Finland

Optimal resource allocation theory predicts that the photosynthetic capacity of individual leaves (Amax) in a canopy should scale proportionally to the availability of light in the vicinity of a leaf. However, a growing body of literature appears to contradict this prediction. This discrepancy has generally been interpreted as being the results of physiological constraints and ecological trade-offs that impede plants to reach the predicted "true" optimal Amax distribution. Nevertheless, resource allocation theory does not take into consideration the potentially important role of leaf orientation as a modulator of the light environment of individual leaves.  The objective of our study was to find the distribution of leaf traits that maximized whole plant gross carbon gain when both leaf Amax and leaf orientation were allowed to vary with the light environment. Our approach was to do explicit three-dimensional simulations of trees using the program LIGNUM.  In our simulations, both Amax and the orientation of individual leaves changed as a function of the amount of light that was available at the point of emergence of leaves on a branch. Our results show that a gradual increase in leaf inclination with increasing light played a significant role at maximizing whole plant carbon gain even if leaf Amax did not vary. When leaf Amax was also allowed to change, plant photosynthesis was maximized when Amax varied non-proportionally with light availability. These results show that optimal resource allocation theory should explicitly consider leaf orientation in order to predict the natural distributions of leaf traits in canopies. 

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