@Article{QinXDZWSABWZLSDM:2019:ImEsFo,
               author = "Qin, Yuanwei and Xiao, Xiangming and Dong, Jinwei and Zhang, Yao 
                         and Wu, Xiaocui and Shimabukuro, Yosio Edemir and Arai, Egidio and 
                         Biradar, Chandrashekhar and Wang, Jie and Zou, Zhenhua and Liu, 
                         Fang and Shi, Zheng and Doughty, Russell and Moore III, Berrien",
          affiliation = "{University of Oklahoma} and {University of Oklahoma} and Chinese 
                         Academy of Sciences, Beijing and {University of Oklahoma} and 
                         {University of Oklahoma} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {International Center for Agricultural Research in the 
                         Dry Areas} and {University of Oklahoma} and {University of 
                         Oklahoma} and Chinese Academy of Sciences, Beijing and {University 
                         of Oklahoma} and {University of Oklahoma} and {University of 
                         Oklahoma}",
                title = "Improved estimates of forest cover and loss in the Brazilian 
                         Amazon in 2000–2017",
              journal = "Nature Sustainability",
                 year = "2019",
               volume = "2",
               number = "8",
                pages = "764--772",
                month = "Aug.",
                 note = "{Pr{\^e}mio CAPES Elsevier 2023 - ODS 15: Vida terrestre}",
             abstract = "The data, information and knowledge on the tropical forest area 
                         and its dynamics in the Brazilian Amazon remain contentious. We 
                         use time-series satellite images to quantify annual forest area, 
                         loss and gain in the Brazilian Amazon during 2000-2017. We find 
                         that forest area was -15% higher than the estimate by the official 
                         Brazilian forest dataset (PRODES), but annual forest-loss rates 
                         were twice the PRODES estimates (-0.027 x 10(6) km(2) yr(-1) 
                         during 2001-2016). Forest-loss rates increased again after 2013. 
                         The El Nino and drought year (2015/2016) drove large forest area 
                         loss. The cumulative forest-loss area within the protected areas 
                         (which include -50% of forests in the region) was -11% of the 
                         total forest-loss area, which highlights the roles of protected 
                         areas in forest conservation.",
                  doi = "10.1038/s41893-019-0336-9",
                  url = "http://dx.doi.org/10.1038/s41893-019-0336-9",
                 issn = "2398-9629",
             language = "en",
           targetfile = "qin_improved.pdf",
        urlaccessdate = "18 abr. 2024"
}