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https://repositorio.inpa.gov.br/handle/1/17575
Título: | Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography |
Autor: | Stark, Scott C. Enquist, Brian J. Saleska, Scott Reid Leitold, Veronika Schietti, Juliana Longo, Marcos Alves, Luciana Ferreira Camargo, Plínio Barbosa de Oliveira, Raimundo Cosme |
Palavras-chave: | Canopy Demography Ecological Modeling Growth Rate Leaf Area Lidar Light Effect Metabolism Mortality Remote Sensing Size Distribution Stand Structure Tropical Forest Amazonia Biological Model Forest Growth, Development And Aging Light Plant Leaf Satellite Imagery Tree Tropic Climate Forests Light Models, Biological Plant Leaves Satellite Imagery Trees Tropical Climate |
Data do documento: | 2015 |
Revista: | Ecology Letters |
É parte de: | Volume 18, Número 7, Pags. 636-645 |
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. © 2015 John Wiley & Sons Ltd/CNRS. |
DOI: | 10.1111/ele.12440 |
Aparece nas coleções: | Artigos |
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