@Article{WagnerSARTFPGA:2020:MaAtRa,
               author = "Wagner, Fabien Hubert and Sanchez Ipia, Alber Hamersson and Aidar, 
                         Marcos P. M. and Rochelle, Andr{\'e} Lu{\'{\i}}s Casarin and 
                         Tarabalka, Yuliya and Fonseca, Marisa Gesteira and Phillips, 
                         Oliver L. and Gloor, Emanuel and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Institute of Botany} 
                         and {Inria Sophia Antipolis} and {Inria Sophia Antipolis} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Leeds} and {University of Leeds} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Mapping Atlantic rainforest degradation and regeneration history 
                         with indicator species using convolutional network",
              journal = "PLoS One",
                 year = "2020",
               volume = "15",
               number = "2",
                pages = "e0229448",
             abstract = "The Atlantic rainforest of Brazil is one of the global terrestrial 
                         hotspots of biodiversity. Despite having undergone large scale 
                         deforestation, forest cover has shown signs of increases in the 
                         last decades. Here, to understand the degradation and regeneration 
                         history of Atlantic rainforest remnants near S{\~a}o Paulo, we 
                         combine a unique dataset of very high resolution images from 
                         Worldview-2 and Worldview-3 (0.5 and 0.3m spatial resolution, 
                         respectively), georeferenced aerial photographs from 1962 and use 
                         a deep learning method called U-net to map (i) the forest cover 
                         and changes and (ii) two pioneer tree species, Cecropia hololeuca 
                         and Tibouchina pulchra. For Tibouchina pulchra, all the 
                         individuals were mapped in February, when the trees undergo 
                         mass-flowering with purple and pink blossoms. Additionally, 
                         elevation data at 30m spatial resolution from NASA Shuttle Radar 
                         Topography Mission (SRTM) and annual mean climate variables 
                         (Terraclimate datasets at \∼ 4km of spatial resolution) 
                         were used to analyse the forest and species distributions. We 
                         found that natural forests are currently more frequently found on 
                         south-facing slopes, likely because of geomorphology and past land 
                         use, and that Tibouchina is restricted to the wetter part of the 
                         region (southern part), which annually receives at least 1600 mm 
                         of precipitation. Tibouchina pulchra was found to clearly indicate 
                         forest regeneration as almost all individuals were found within or 
                         adjacent to forests regrown after 1962. By contrast, Cecropia 
                         hololeuca was found to indicate older disturbed forests, with all 
                         individuals almost exclusively found in forest fragments already 
                         present in 1962. At the regional scale, using the dominance maps 
                         of both species, we show that at least 4.3% of the current 
                         region's natural forests have regrown after 1962 (Tibouchina 
                         dominated, \∼ 4757 ha) and that \∼ 9% of the old 
                         natural forests have experienced significant disturbance (Cecropia 
                         dominated).",
                  doi = "10.1371/journal.pone.0229448",
                  url = "http://dx.doi.org/10.1371/journal.pone.0229448",
                 issn = "1932-6203",
             language = "en",
           targetfile = "wagner_mapping.pdf",
        urlaccessdate = "27 abr. 2024"
}