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Relating Stomatal Conductance to Leaf Functional Traits
Published on: October 12, 2015
Ploidy level predicts differences in minimum leaf conductance in quaking aspen, Populus tremuloides
Jocelyn Navarro1,2, Roxanne M Cruz-de Hoyos2,3, John M Powers2,4
1Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, 85721, Arizona, USA.
Premise:
Leaves lose water in parallel between stomata and the cuticle. Plants regulate stomata to reduce leaf water loss in response to atmospheric demand. However, water may still be lost through leaky stomata and the cuticle, as measured by minimum leaf conductance (gmin). We compared gmin between co-occurring diploid and triploid individuals of Populus tremuloides to determine whether ploidy, leaf traits, or microclimate explain variation in gmin. We hypothesized that gmin may increase with increasing ploidy because higher ploidy influences traits related to plant water loss, resulting in greater triploid water loss.
Methods:
We measured gmin in five leaves each of 32 aspen genets in Colorado. We also measured traits associated with plant water-use and structure. We then assessed predictors of differences in gmin, including ploidy level.
Results:
Minimum leaf conductance differed by ploidy level, with higher gmin in triploids than in diploids. Although leaf area and surface-area-to-volume ratio were significant predictors of gmin, neither variable accounted for the difference by ploidy level. Slope and aspect explained additional variation in gmin, suggesting important microsite effects. However, ploidy level remained a significant predictor of gmin across all models, indicating the effect on gmin is robust and not due to covariation with structural traits and topography.
Conclusions:
Triploids consistently had higher gmin than diploids across models; accounting for structural traits and topography. Higher gmin in triploids is consistent with hypothesized physical or genetic effects of a larger genome on leaf traits, resulting in differential drought vulnerability across ploidy levels.
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