author = "Stark, Scott C. and Enquist, Brian J. and Saleska, Scott R. and 
                         Leitold, Veronika and Schietti, Juliana and Longo, Marcos and 
                         Alves, Luciana F. and Camargo, Plinio B. and Oliveira, Raimundo 
          affiliation = "{University of Arizona} and {University of Arizona} and 
                         {University of Arizona} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas ~ da 
                         Amazonia (INPA)} and {Harvard University} and {Instituto 
                         Agronomico de Campinas (IAC)} and {Universidade de S{\~a}o Paulo 
                         (USP)} and {Embrapa Amaz{\^o}nia Oriental}",
                title = "Linking canopy leaf area and light environments with tree size 
                         distributions to explain Amazon forest demography",
              journal = "Ecology Letters",
                 year = "2015",
               volume = "18",
               number = "7",
                pages = "636--645",
                month = "July",
             keywords = "Amazon forest,canopy plasticity,canopy structure,forest 
                         dynamics,leaf area profiles,LiDAR,light competition,metabolic 
                         scaling theory,remote sensing,tree demography.",
             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 
                  doi = "10.1111/ele.12440",
                  url = "http://dx.doi.org/10.1111/ele.12440",
                 issn = "1461-023X",
             language = "en",
        urlaccessdate = "02 dez. 2020"