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A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)

PREMISE OF THE STUDY: The three-dimensional structure of tree canopies creates environmental heterogeneity, which can differentially influence the chemistry, morphology, physiology, and/or phenology of leaves. Previous studies that subdivide canopy leaves into broad categories (i.e., “upper/lower”)...

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Detalles Bibliográficos
Autores principales: Wingfield, Jenna L., Ruane, Lauren G., Patterson, Joshua D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Botanical Society of America 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703180/
https://www.ncbi.nlm.nih.gov/pubmed/29188145
http://dx.doi.org/10.3732/apps.1700056
Descripción
Sumario:PREMISE OF THE STUDY: The three-dimensional structure of tree canopies creates environmental heterogeneity, which can differentially influence the chemistry, morphology, physiology, and/or phenology of leaves. Previous studies that subdivide canopy leaves into broad categories (i.e., “upper/lower”) fail to capture the differences in microenvironments experienced by leaves throughout the three-dimensional space of a canopy. METHODS: We use a three-dimensional spatial mapping approach based on spherical polar coordinates to examine the fine-scale spatial distributions of photosynthetically active radiation (PAR) and the concentration of ultraviolet (UV)-absorbing compounds (A(300)) among leaves within the canopies of black mangroves (Avicennia germinans). RESULTS: Linear regressions revealed that interior leaves received less PAR and produced fewer UV-absorbing compounds than leaves on the exterior of the canopy. By allocating more UV-absorbing compounds to the leaves on the exterior of the canopy, black mangroves may be maximizing UV-protection while minimizing biosynthesis of UV-absorbing compounds. DISCUSSION: Three-dimensional spatial mapping provides an inexpensive and portable method to detect fine-scale differences in environmental and biological traits within canopies. We used it to understand the relationship between PAR and A(300), but the same approach can also be used to identify traits associated with the spatial distribution of herbivores, pollinators, and pathogens.