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Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography
Author(s) -
Stark Scott C.,
Enquist Brian J.,
Saleska Scott R.,
Leitold Veronika,
Schietti Juliana,
Longo Marcos,
Alves Luciana F.,
Camargo Plinio B.,
Oliveira Raimundo C.
Publication year - 2015
Publication title -
ecology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.852
H-Index - 265
eISSN - 1461-0248
pISSN - 1461-023X
DOI - 10.1111/ele.12440
Subject(s) - forest dynamics , canopy , amazon rainforest , ecology , tree canopy , tree (set theory) , lidar , forest structure , environmental science , atmospheric sciences , geography , physical geography , biology , remote sensing , mathematics , mathematical analysis , geology
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.