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@InProceedings{LeitoldKellMortShim:2015:LaVaFo,
               author = "Leitold, Veronika and Keller, Michael and Morton, Douglas C and 
                         Shimabukuro, Yosio Edemir",
          affiliation = "{} and {} and {} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Landscape-scale variation in forest structure and biomass along an 
                         elevation gradient in the Atlantic Forest of the Serra do Mar, 
                         Brazil",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1192--1199",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Landscape-scale quantification of forest structure, disturbance 
                         patterns and biomass distribution can improve our understanding of 
                         the environmental controls on the functioning of forested 
                         ecosystems. Assessing the detailed structure of the complex 
                         tropical forest canopy is a challenging task, especially in areas 
                         of steep topography where field access is limited. We used 
                         airborne lidar (light detection and ranging) data to describe the 
                         landscape-scale variation in canopy structure and gap distribution 
                         in a 1000-ha area along an elevation gradient from 0 to 1200m in 
                         the Atlantic Forest of the Serra do Mar in southeast Brazil. Mean 
                         canopy heights (MCHs) were greatest (21-22m) at intermediate 
                         elevations (200-700m) in the submontane forest where terrain slope 
                         was also the steepest (~40). Canopy gap fraction was highest 
                         (~30%) and MCH lowest (~16m) in the montane forest areas 
                         (900-1100m) on flatter sites atop the plateau (~24 slopes). We 
                         used forest inventory data from nine 1-ha permanent field plots 
                         (PFPs) within the study area to assess aboveground biomass (AGB) 
                         stocks and changes. We established regression models based on 
                         lidar-derived canopy structure and field-based biometry data, and 
                         used these to extrapolate AGB predictions across the landscape. 
                         Comparing canopy height and disturbance distributions in the PFPs 
                         with the distributions across the broader landscape, we found that 
                         submontane PFPs showed closer correspondence with their 
                         surrounding areas, while montane PFPs consistently overestimated 
                         landscape-scale canopy height (thus AGB pools) and underestimated 
                         gap fraction (therefore AGB changes).",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "220",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM47RF",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM47RF",
           targetfile = "p0220.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "28 nov. 2020"
}


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