@InProceedings{LongoSKFBFCNOMS:2019:HoDoFo,
               author = "Longo, Marcos and Saatchi, Sassan and Keller, Michael and Ferraz, 
                         Antonio and Bowman, Kevin W. and Fisher, Joshua and 
                         Cawse-Nicholson, Kerry Anne and Norton, Douglas C. and Ometto, 
                         Jean Pierre Henry Balbaud and Moorcroft, Paul R. and Shi, 
                         Mingjie",
          affiliation = "{NASA Jet Propulsion Laboratory} and {NASA Jet Propulsion 
                         Laboratory} and {USDA Forest Service} and {NASA Jet Propulsion 
                         Laboratory} and {NASA Jet Propulsion Laboratory} and {NASA Jet 
                         Propulsion Laboratory} and {NASA Jet Propulsion Laboratory} and 
                         {NASA Goddard Space Flight Center} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Harvard University} and {NASA Jet 
                         Propulsion Laboratory}",
                title = "How does forest structure control temperature and water fluxes in 
                         the Amazon?",
                 year = "2019",
         organization = "AGU Fall Meeting",
             abstract = "While the role of forest structure on carbon stocks and 
                         biodiversity has been extensively studied, its effects on 
                         ecosystem functions such as energy and water fluxes at regional 
                         scale remain largely unknown. We combine the largest 
                         small-footprint airborne lidar collection over the Brazilian 
                         Amazon (558 transects randomly distributed across the Amazon 
                         covering > 200,000 ha, and collected in 20162017) with recent 
                         ECOsystem Spaceborne Thermal Radiometer Experiment on Space 
                         Station (ECOSTRESS) land surface temperature and 
                         evapotranspiration products (70-m resolution, data acquired in 
                         20182019) to investigate the role of forest structure on 
                         dry-season land surface temperature and evapotranspiration. We 
                         compare structural variables including height, vegetation 
                         fractional cover distribution, and gap distribution to patterns of 
                         temperature and evapotranspiration considering other key variables 
                         such as soil texture, disturbance history, and climate. Analyses 
                         in the southern Amazon suggest that structural forest changes, 
                         associated with forests that burned 2 years prior to ECOSTRESS 
                         data acquisition, increase daytime surface temperature by 1-9°C 
                         and reduce evapotranspiration by 30% during the day, indicating 
                         the potentially large effect of structural heterogeneity driving 
                         the energy and water cycles in the Amazon. Our analyses provide a 
                         framework for integrating forest structure and ecosystem function 
                         at global scale fusing ECOSTRESS data with the Global Ecosystem 
                         Dynamics Investigation (GEDI) spaceborne lidar mission.",
  conference-location = "San Francisco, CA",
      conference-year = "09-13 dec.",
             language = "en",
           targetfile = "longo_how.pdf",
        urlaccessdate = "20 abr. 2024"
}