@Article{EspindolaAguPebCamFon:2012:AgLaUs,
               author = "Espindola, Giovana Mira de and Aguiar, Ana Paula Dutra de and 
                         Pebesma, E. and Cam{\^a}ra, Gilberto and Fonseca, L.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Agricultural land use dynamics in the Brazilian Amazon based on 
                         remote sensing and census data",
              journal = "Applied Geography",
                 year = "2012",
               volume = "32",
               number = "2",
                pages = "240--252",
                month = "Mar.",
             keywords = "Brazilian Amazon, Deforestation, Land use dynamic, Agricultural 
                         land uses, Spatial regression analysis.",
             abstract = "The potential impact of deforestation in the Brazilian Amazon on 
                         greenhouse gas emissions to the atmosphere calls for policies that 
                         take account of changes in forest cover. Although much research 
                         has focused on the location and effects of deforestation, little 
                         is known about the distribution and reasons for the agricultural 
                         uses that replace forest cover. We used Landsat TM-based 
                         deforestation and agricultural census data to generate maps of the 
                         distribution and proportion of four major agricultural land uses 
                         throughout the Brazilian Amazon in 1997 and 2007. We built linear 
                         and spatial regression models to assess the determinant factors of 
                         deforestation and those major agricultural land uses e pasture, 
                         temporary agriculture and permanent agriculture e for the states 
                         of Par{\'a}, Rond{\^o}nia, and Mato Grosso. The data include 30 
                         determinant factors that were grouped into two years (1996 and 
                         2006) and in four categories: accessibility to markets, public 
                         policies, agrarian structure, and environment. We found an overall 
                         expansion of the total agricultural area between 1997 and 2007, 
                         and notable differences between the states of Par{\'a}, 
                         Rond{\^o}nia, and Mato Grosso in land use changes during this 
                         period. Regression models for deforestation and pasture indicated 
                         that determinant factors such as distance to roads were more 
                         influential in 1997 than in 2007. The number of settled families 
                         played an important role in the deforestation and pasture, the 
                         effect was stronger in 2007 than 1997. Indigenous lands were 
                         significant in preventing deforestation in high-pressure areas in 
                         2007. For temporary and permanent agricultures, our results show 
                         that in 1997 the effect of small farms was stronger than in 2007. 
                         The mapped land use time series and the models explain empirically 
                         the effects of land use changes across the region over one 
                         decade.",
                  doi = "10.1016/j.apgeog.2011.04.003",
                  url = "http://dx.doi.org/10.1016/j.apgeog.2011.04.003",
                 issn = "0143-6228",
             language = "en",
        urlaccessdate = "11 maio 2024"
}