@Article{OliveiraCMCSCSHSS:2020:RaReDe,
               author = "Oliveira, Gabriel de and Chen, Jing M. and Mataveli, Guilherme A. 
                         V. and Chaves, Michel Eust{\'a}quio Dantas and Seixas, Hugo T. 
                         and Cardozo, Francielle da S. and Shimabukuro, Yosio Edemir and 
                         He, Liming and Stark, Scott C. and Santos, Carlos A. C. dos",
          affiliation = "{University of Toronto} and {University of Toronto} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o del Rei (UFSJ)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o del Rei (UFSJ)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Canada 
                         Centre for Mapping and Earth Observation} and {Michigan State 
                         University} and {Universidade Federal de Campina Grande (UFCG)}",
                title = "Rapid recent deforestation incursion in a vulnerable indigenous 
                         land in the Brazilian Amazon and fire-driven emissions of fine 
                         particulate aerosol pollutants",
              journal = "Forests",
                 year = "2020",
               volume = "11",
               number = "8",
                pages = "e29",
                 note = "{Pr{\^e}mio CAPES Elsevier 2023 - ODS 2: Fome zero e Agricultura 
                         sustent{\'a}vel} and {Pr{\^e}mio CAPES Elsevier 2023 - ODS 8: 
                         Trabalho decente e crescimento econ{\^o}mico} and {Pr{\^e}mio 
                         CAPES Elsevier 2023 - ODS 15: Vida terrestre}",
             keywords = "forest fires, deforestation, Amazonia, aerosols, MODIS images, 
                         PREP-CHEM-SRC tool.",
             abstract = "Deforestation in the Brazilian Amazon is related to the use of 
                         fire to remove natural vegetation and install crop cultures or 
                         pastures. In this study, we evaluated the relation between 
                         deforestation, land-use and land-cover (LULC) drivers and fire 
                         emissions in the Apyterewa Indigenous Land, Eastern Brazilian 
                         Amazon. In addition to the official Brazilian deforestation data, 
                         we used a geographic object-based image analysis (GEOBIA) approach 
                         to perform the LULC mapping in the Apyterewa Indigenous Land, and 
                         the Brazilian biomass burning emission model with fire radiative 
                         power (3BEM_FRP) to estimate emitted particulate matter with a 
                         diameter less than 2.5 µm (PM2.5), a primary human health risk. 
                         The GEOBIA approach showed a remarkable advancement of 
                         deforestation, agreeing with the official deforestation data, and, 
                         consequently, the conversion of primary forests to agriculture 
                         within the Apyterewa Indigenous Land in the past three years (200 
                         km2 ), which is clearly associated with an increase in the PM2.5 
                         emissions from fire. Between 2004 and 2016 the annual average 
                         emission of PM2.5 was estimated to be 3594 ton year\−1 , 
                         while the most recent interval of 20172019 had an average of 6258 
                         ton year\−1 . This represented an increase of 58% in the 
                         annual average of PM2.5 associated with fires for the study 
                         period, contributing to respiratory health risks and the air 
                         quality crisis in Brazil in late 2019. These results expose an 
                         ongoing critical situation of intensifying forest degradation and 
                         potential forest collapse, including those due to a savannization 
                         forest-climate feedback, within protected areas in the Brazilian 
                         Amazon. To reverse this scenario, the implementation of 
                         sustainable agricultural practices and development of conservation 
                         policies to promote forest regrowth in degraded preserves are 
                         essential.",
                  doi = "10.3390/f11080829",
                  url = "http://dx.doi.org/10.3390/f11080829",
                 issn = "1999-4907",
             language = "en",
           targetfile = "forests-11-00829.pdf",
        urlaccessdate = "28 abr. 2024"
}