author = "Tejada, Graciela and Gatti, Luciana Vanni and Basso, Luana 
                         Santamaria and Marani, Luciano and Cassol, Henrique Luis Godinho 
                         and Crispim, St{\'e}phane Palma and Neves, Raiane Aparecida Lopes 
                         and Sanchez, Alber and Correia, Caio Silvestre de Carvalho and 
                         Arai, Eg{\'{\i}}dio and Gloor, Emanuel Ulrich and Miler, Johan 
                         B. and Von Randow, Celso",
          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)} 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 Energ{\'e}ticas (IPEN)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Leeds} and NOAA and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Land use and cover change and CO2 atmospheric measurements in the 
                         Amazon forests",
            booktitle = "Abstracts...",
                 year = "2019",
         organization = "Chapman Conference on Understanding Carbon Climate Feedbacks",
             abstract = "In the last years, global CO2 concentrations have reach levels 
                         never seen before reaching more than 400 ppm. Among the main 
                         causes of these emissions are the burning of fossil fuels and the 
                         land use and cover change (LUCC) related emissions. In the Amazon 
                         region, the main CO2 emissions are related to deforestation. 
                         Multitemporal LUCC datasets have been restrict to Brazil, but now 
                         has been released a pan-Amazon dataset for all the countries 
                         sharing the Amazon, opening the possibility of studying the Amazon 
                         forests as a whole. On the other hand, the lower-troposphere 
                         greenhouse gas (GHG) monitoring program Carbam project, has been 
                         collecting biweekly GHGs vertical profiles in four sites of the 
                         Amazon since 2010, filling a very important gap in regional GHGs 
                         measurements. Our purpose is to understand the relationships 
                         between regional LUCC and CO2 aircraft measurements in the Amazon. 
                         Here we present the relationships between annual LUCC data from 
                         2010 to 2017 in the Amazon forest and in each mean influence area 
                         of Carbam sites comparing them with mean annual CO2 fluxes. 
                         Considering the whole Amazon forests and the mean annual CO2 
                         fluxes, the years with more forest loss and agriculture increase 
                         are 2010 and 2016, showing relation with CO2 fluxes. On the other 
                         hand, 2011 and 2017 also have deforestation (less than 2010 and 
                         2016), but the CO2 fluxes are lower, showing that droughts could 
                         also influence the CO2 concentrations. Looking at each influence 
                         area, total carbon flux of Alta Floresta and Rio Branco have the 
                         same tendency as the forest loss from 2013 to 2017, but no in 2010 
                         and 2012. In Tabantinga, Tef{\'e} and Santarem there is no a 
                         direct relationship between the carbon fluxes and the forest loss. 
                         To understand better the relationships at each site, we have to 
                         consider the years of measurements. Also, the temporal scale, 
                         carbon fluxes are measure biweekly and the LUCC data is annual. 
                         Looking at the potentialities and limitations of this 
                         relationship, it will be possible to improve the methodology to 
                         better understand the interaction of human activities and CO2 
                         emissions on the carbon balance.",
  conference-location = "San Diego, CA",
      conference-year = "26-29 ago.",
        urlaccessdate = "18 jan. 2021"