Cargando…

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”)...

Descripción completa

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
_version_ 1783281655522263040
author Wingfield, Jenna L.
Ruane, Lauren G.
Patterson, Joshua D.
author_facet Wingfield, Jenna L.
Ruane, Lauren G.
Patterson, Joshua D.
author_sort Wingfield, Jenna L.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5703180
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Botanical Society of America
record_format MEDLINE/PubMed
spelling pubmed-57031802017-11-29 A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1) Wingfield, Jenna L. Ruane, Lauren G. Patterson, Joshua D. Appl Plant Sci Application Article 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. Botanical Society of America 2017-11-16 /pmc/articles/PMC5703180/ /pubmed/29188145 http://dx.doi.org/10.3732/apps.1700056 Text en © 2017 Wingfield et al. Published by the Botanical Society of America https://creativecommons.org/licenses/by-nc-sa/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/) ), which permits unrestricted noncommercial use and redistribution provided that the original author and source are credited and the new work is distributed under the same license as the original.
spellingShingle Application Article
Wingfield, Jenna L.
Ruane, Lauren G.
Patterson, Joshua D.
A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
title A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
title_full A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
title_fullStr A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
title_full_unstemmed A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
title_short A three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
title_sort three-dimensional spatial mapping approach to quantify fine-scale heterogeneity among leaves within canopies(1)
topic Application Article
url 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
work_keys_str_mv AT wingfieldjennal athreedimensionalspatialmappingapproachtoquantifyfinescaleheterogeneityamongleaveswithincanopies1
AT ruanelaureng athreedimensionalspatialmappingapproachtoquantifyfinescaleheterogeneityamongleaveswithincanopies1
AT pattersonjoshuad athreedimensionalspatialmappingapproachtoquantifyfinescaleheterogeneityamongleaveswithincanopies1
AT wingfieldjennal threedimensionalspatialmappingapproachtoquantifyfinescaleheterogeneityamongleaveswithincanopies1
AT ruanelaureng threedimensionalspatialmappingapproachtoquantifyfinescaleheterogeneityamongleaveswithincanopies1
AT pattersonjoshuad threedimensionalspatialmappingapproachtoquantifyfinescaleheterogeneityamongleaveswithincanopies1