Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/241906
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: General Quantitative Theory
Neotropical Rain-forest
Tropical Forest
Metabolic Ecology
Carbon Dynamics
Shade Tolerance
Biomass
Lidar
Disturbance
Ecosystem
Country: HOBOKEN
Editor: WILEY-BLACKWELL
Citation: Linking Canopy Leaf Area And Light Environments With Tree Size Distributions To Explain Amazon Forest Demography. Wiley-blackwell, v. 18, p. 636-645 JUL-2015.
Rights: fechado
Identifier DOI: 10.1111/ele.12440
Address: http://onlinelibrary.wiley.com/doi/10.1111/ele.12440/abstract
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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