@InProceedings{BecerraCarSilMarRan:2010:I.AbDi,
               author = "Becerra, Jorge Alberto Bustamante and Carvalho, Suzana and da 
                         Silva, Emily Ane Dionizio and Martins, Iris Amati and Randow, 
                         Celso von",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Variabilidade sazonal do clima e da vegeta{\c{c}}{\~a}o no bioma 
                         Cerrado: I. Abordagem diagn{\'o}stica por sensoriamento remoto",
            booktitle = "Anais...",
                 year = "2010",
         organization = "Congresso Brasileiro de Meteorologia (CBMET),16.",
            publisher = "SBMET",
              address = "Rio de Janeiro, RJ",
             keywords = "sazonalidade da precipita{\c{c}}{\~a}o, sazonalidade da 
                         vegeta{\c{c}}{\~a}o (NDVI e LAI) e bioma Cerrado.",
             abstract = "At a global scale, precipitation is one of the best predictors of 
                         spatial distribution of the main vegetation types. At a regional 
                         scale, the influence of precipitation is less direct because of 
                         the involvement of other intervening variables. The aim of this 
                         study was to assess the seasonality of precipitation and 
                         vegetation (using the Normalized Difference Vegetation Index-NDVI 
                         and Leaf Area Index-LAI), and the relationships between these 
                         variables in two regions of the Cerrado biome (savanna), north and 
                         central, with different degrees of human disturbance, natural and 
                         modified, respectively. We also investigated the relationship of 
                         the following pair of variables: precipitation and NDVI, 
                         precipitation and LAI, and NDVI and LAI; by fitting curves to a 
                         regression model using time series from 2001 to 2009 for the three 
                         variables (precipitation, NDVI e LAI) in the two study areas. The 
                         results show significant correlation between NDVI and 
                         precipitation being higher in the modified region (R2: 0.3724) 
                         than in natural region (R2: 0.3717), partial correlation between 
                         precipitation and LAI with significant correlation only in the 
                         modified region (R2: 0.3345), and significant correlation between 
                         NDVI and LAI, which is higher in the modified (R2: 0.9288) than in 
                         natural region (R2: 0.5493).These results indicate that 
                         precipitation is one of the main variables that influence the 
                         pattern of spatio-temporal distribution of the Cerrado vegetation. 
                         However, this influence (of precipitation on vegetation) is 
                         differentiated, being more direct in areas with dominance of 
                         grassy-herbaceous and shrub layer and even wide agricultural areas 
                         with rainfall dependence (modified region) than in areas with 
                         dominance of tree layer (natural region), where the dependence of 
                         precipitation is less direct. Finally, we also analyzed the 
                         relationship between NDVI (observational data) and NPP (modeled) 
                         that will be presented in further work on {"}Seasonal variability 
                         of climate and vegetation in the Cerrado biome: II. Representation 
                         with the biosphere model IBIS.",
  conference-location = "Bel{\'e}m",
      conference-year = "13-17 set 2010",
             language = "pt",
           targetfile = "Bec erra_variabilidade.pdf",
        urlaccessdate = "16 jun. 2024"
}