@Article{CardosoHurt:2000:FiLaCo,
               author = "Cardoso, Manoel Ferreira and Hurtt, Jorge",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and University 
                         of New Hampshire, Durahm, NH",
                title = "Fires and land cover dynamics in Amazonia",
              journal = "BAHC News",
                 year = "2000",
               volume = "8",
               number = "*",
                pages = "13--15",
                month = "dec.",
             keywords = "deforestation, fires, Amazonia, satellite GOES-8.",
             abstract = "Fire is a very important disturbancein Amazonia. Burnings have a 
                         great potential to alter carbon and nutrient cycling (Crutzen and 
                         Andreae 1990; Hughes et al. 2000), change the atmosphere 
                         composition (Kaufman and Fraser 1997; Brasseur et al. 1999), and 
                         modify ecosystems structure and functions (Cochrane et al. 1999; 
                         Nepstad et al. 1999). The effects of fires in Amazonia have been 
                         measured in experiments in primary forests, pastures and 
                         regenerating areas, and have shown that fires can be responsible 
                         for large consumption of aboveground biomass and abrupt losses of 
                         nutrients (Kauffman et al. 1998; Hughes et al. 2000). Fires also 
                         leave a signal that is detectable by remote sensing of the Earth's 
                         surface; satellite data show an intense and extensive presence of 
                         fires in Amazonia, especially during the dry season in the region 
                         (Setzer and Malingreau 1996; Prins et al. 1998). Spatial patterns 
                         in deforestation and fires from satellite data in Amazonia are 
                         very similar, and together with results from fieldwork on land 
                         use, suggest a close relation between human activities and fires 
                         (Skole and Tucker 1993; Nepstad et al. 1999). Generally speaking, 
                         the risk of fires is strongly influenced by both climate and land 
                         use. Since both factors are expected to change in the future (The 
                         LBA Science Planning Group 1996; Cox et al. 2000), questions about 
                         the future dynamics of fires in Amazonia are particularly 
                         relevant. For example: How specifically do climate and human 
                         activities influence fire risk? Will projected changes in human 
                         activities and climate cause changes in fire patterns? How will 
                         future fire dynamics affect vegetation boundaries and carbon 
                         fluxes? To properly address such questions, new fire models are 
                         developed based on data from the region, that reproduce the main 
                         features of regional fire dynamics, and that can be coupled to 
                         ecosystem models. In order to develop the new fire models, an 
                         understanding of patterns of fire in Amazonia as well as the 
                         factors that explain them is required. To this end, the Automated 
                         Biomass Burning Algorithm (ABBA) fire product data sets of the 
                         University of Wisconsin - Madison are currently analysed. These 
                         data are based on the Geostationary Operational Environmental 
                         Satellite (GOES- 8) and provide fire information atfour daily 
                         detection times during the fire season, from June toOctober (Prins 
                         et al. 1998).",
           copyholder = "SID/SCD",
             language = "en",
           targetfile = "Cardoso_2000_IGBP_BAHCNews.pdf",
        urlaccessdate = "13 maio 2024"
}