@InProceedings{BustamanteShimAlva:2010:SeVaVe,
               author = "Bustamante, Jorge and Shimabukuro, Yosio Edemir and Alval{\'a}, 
                         Regina",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Seasonal variability of vegetation and its relationship to 
                         rainfall and fire in the Brazilian tropical savanna",
            booktitle = "Posters",
                 year = "2010",
         organization = "The Meeting of the Americas.",
             keywords = "ecosystems, structure and dynamics, plant ecology, remote 
                         sensing.",
             abstract = "The feedback mechanisms between climate and vegetation have an 
                         important role in the dynamics of the biosphere-atmosphere 
                         interaction. In this sense, the knowledge of spatial distribution, 
                         temporal dynamics and biophysical characteristics of the 
                         vegetation types, are important elements to improve the 
                         understanding of how vegetation interacts with the atmosphere. The 
                         main objective of this study is to determine the relationship of 
                         environmental variables such as precipitation and fire with the 
                         patterns of spatial and temporal distribution of the main 
                         vegetation type, in the Brazilian tropical savanna. The 
                         methodology consists of the spatial and temporal analysis of the 
                         following variables: precipitation, density of fire spot and 
                         vegetation indices (normalized difference vegetation index-NDVI, 
                         enhanced vegetation index-EVI and land surface water index-LSWI) 
                         for the years of 2002, 2005 and 2008. The temporal resolution is 
                         23 periods of 16 days each to complete a year and the spatial 
                         resolution is 1 km to the vegetation indices and density of fire 
                         spots, and 20 km for precipitation. Points randomly distributed 
                         along the entire biome were sampled (N=800) to perform statistical 
                         analysis. Time series and multivariate analysis techniques were 
                         applied to relate the influence of environmental variables 
                         (precipitation and fire) with the distribution pattern of 4 
                         vegetation types (forest, savanna with trees, shrubs and 
                         herbaceous) in the study area. The results show seasonality in 
                         precipitation, density of fire spot and vegetation indices of the 
                         vegetation types analyzed along the biome. In general, the 
                         analysis show a direct positive relationship between precipitation 
                         and leaf biomass production (derived from vegetation indices), and 
                         on the other hand, both variables (precipitation and vegetation) 
                         show a negative relationship with the density of fire spots. This 
                         means that increases in precipitation are related to increases in 
                         vegetation cover and decreased in density of fires spots. It was 
                         also found high density of fires spot in the dry season in 
                         deciduous trees, shrubs and herbaceous which indicates the high 
                         removal of CO2 (greenhouse gas) of the land cover to the 
                         atmosphere somehow influencing the dynamic equilibrium of this 
                         (atmosphere) in the region of the Brazilian tropical savanna.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "8-12 Aug. 201A",
             language = "en",
           targetfile = "Bustamante_Seasonal.pdf",
        urlaccessdate = "30 abr. 2024"
}