Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/235840
Type: Artigo de periódico
Title: Linking Canopy Leaf Area And Light Environments With Tree Size Distributions To Explain Amazon Forest Demography.
Author: Stark, Scott C
Enquist, Brian J
Saleska, Scott R
Leitold, Veronika
Schietti, Juliana
Longo, Marcos
Alves, Luciana F
Camargo, Plinio B
Oliveira, Raimundo C
Abstract: Forest biophysical structure - the arrangement and frequency of leaves and stems - emerges from growth, mortality and space filling dynamics, and may also influence those dynamics by structuring light environments. To investigate this interaction, we developed models that could use LiDAR remote sensing to link leaf area profiles with tree size distributions, comparing models which did not (metabolic scaling theory) and did allow light to influence this link. We found that a light environment-to-structure link was necessary to accurately simulate tree size distributions and canopy structure in two contrasting Amazon forests. Partitioning leaf area profiles into size-class components, we found that demographic rates were related to variation in light absorption, with mortality increasing relative to growth in higher light, consistent with a light environment feedback to size distributions. Combining LiDAR with models linking forest structure and demography offers a high-throughput approach to advance theory and investigate climate-relevant tropical forest change.
Subject: Amazon Forest
Lidar
Canopy Plasticity
Canopy Structure
Forest Dynamics
Leaf Area Profiles
Light Competition
Metabolic Scaling Theory
Remote Sensing
Tree Demography
Citation: Ecology Letters. v. 18, n. 7, p. 636-645, 2015-Jul.
Rights: embargo
Identifier DOI: 10.1111/ele.12440
Address: http://www.ncbi.nlm.nih.gov/pubmed/25963522
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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