@InProceedings{MengCKPBLASJGLBA:2022:FoEdEf,
               author = "Meng, Lin and Chambers, Jeffrey Q. and Koven, Charles and 
                         Pastorello, Gilberto and Brando, Paulo M. and Longo, Marcos and 
                         Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Shuman, Jacquelyn 
                         K. and Juarez, Robinson I. Negron and Gimenez, Bruno and Lopes, 
                         Aline Pontes and Bomfim, Barbara and Ara{\'u}jo, Alessandro C. 
                         de",
          affiliation = "{Vanderbilt University} and {University of California} and 
                         {Lawrence Berkeley National Laboratory} and {Lawrence Berkeley 
                         National Laboratory} and {Carnegie Institution for Science} and 
                         {Lawrence Berkeley National Laboratory} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Virginia} and 
                         {Lawrence Berkeley National Laboratory} and {Smithsonian Tropical 
                         Research Institute (STRI)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Lawrence Berkeley National Laboratory} and 
                         {Empresa Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)}",
                title = "Forest edge effects on the Amazon rainforest under climate 
                         change",
                 year = "2022",
         organization = "AGU Fall Meeting",
            publisher = "AGU",
             abstract = "Forest fragmentation, which results from deforestation and 
                         disturbance, leads to profound edge effects extending deep into 
                         the evergreen forest in the Amazon basin. The edge effect promotes 
                         canopy loss and facilitates anthropogenic fires to escape into the 
                         forests, intensifying the carbon losses. We used Landsat imagery 
                         and geospatial approaches to develop gridded annual maps of 
                         distance to the nearest forest edges in the Amazon at 30-m spatial 
                         resolution from 1985 to 2020. We found nonlinear changes in land 
                         surface temperature, burn areas, and aboveground biomass density 
                         along forest edges, especially in the southern Amazon. The 
                         magnitude and distance of the edge effect showed large spatial 
                         heterogeneity and variability across years. Around 82% burn areas 
                         occurred within 1 km from the forest edge on average but this 
                         distance increased under recurring burns or a warmer dry season. 
                         These findings indicate forest degradation leads to higher 
                         vulnerability at forest edges under a warmer and drier climate in 
                         the Amazon.",
  conference-location = "Chicago, IL",
      conference-year = "12-16 Dec. 2022",
        urlaccessdate = "27 abr. 2024"
}