Premium
Differences in the scaling of area and mass of Ginkgo biloba (Ginkgoaceae) leaves and their relevance to the study of specific leaf area
Author(s) -
Niklas Karl J.,
Christianson Michael L.
Publication year - 2011
Publication title -
american journal of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.218
H-Index - 151
eISSN - 1537-2197
pISSN - 0002-9122
DOI - 10.3732/ajb.1100106
Subject(s) - biology , gymnosperm , ginkgo biloba , ginkgo , canopy , specific leaf area , trait , lamina , botany , allometry , shoot , ecology , horticulture , photosynthesis , computer science , programming language
• Premise of the study: The manner in which the area of the leaf lamina ( A ) scales with respect to the dry mass of the lamina ( M ) is an important functional trait that is correlated with whole‐plant growth rates and habitat preferences across diverse species. However, the extent to which the scaling between these two variables differs among leaves collected from different types of shoots within the canopy of a tree is poorly understood. Should they exist, significant differences in the A vs. M scaling relationship within canopies would raise a number of important questions, in particular what constitutes an adequate sampling procedure to determine the whole‐canopy A vs. M relationship. • Methods: To address this issue, we used a large data set representing 13 biologically distinct categories of leaves sampled from mega‐ and microsporangiate trees of the dioecious gymnosperm Ginkgo biloba . • Key results: Analyses of the data for these 13 categories of leaves identify seven statistically significantly different modes of A vs. M scaling that result in significant differences in how specific leaf area (SLA) changes as M varies within the canopies of Ginkgo . • Conclusions: These results indicate that the protocols used to sample leaves for the analysis of foliar functional traits such as specific leaf area need to acknowledge and cope with the effects of leaf and shoot polymorphisms on the quantification of functional traits (and on the construction and testing of hypotheses about these traits).