@Article{XimenesAmaMonAlmVal:2021:MaTeEc,
               author = "Ximenes, Arimat{\'e}a de Carvalho and Amaral, Silvana and 
                         Monteiro, Antonio Miguel Vieira and Almeida, Rodolfo Maduro and 
                         Valeriano, Dalton de Morisson",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal do Oeste do 
                         Par{\'a} (UFOPA)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Mapping the terrestrial ecoregions of the Purus-Madeira interfluve 
                         in the Amazon Forest using machine learning techniques",
              journal = "Forest Ecology and Management",
                 year = "2021",
               volume = "488",
                pages = "e118960",
                month = "May",
             keywords = "spatial ecology, ecoregions, biodiversity, self-organizing map, 
                         landscape ecology, geoprocessing.",
             abstract = "An ecoregion is a region with similar environmental conditions. 
                         However, many ecoregions represent regional habitat heterogeneity, 
                         and areas with little fieldwork information can benefit from 
                         ecoregion mapping by providing information about their 
                         biodiversity distribution. This work presents the procedure 
                         adopted to map the terrestrial ecoregions of the Purus-Madeira 
                         interfluve, in the Brazilian Amazon using Machine Learning 
                         techniques. A methodological approach with Self-Organizing Map and 
                         K-means algorithms is proposed for the ecoregion mapping and the 
                         resulting model is discussed. The final ecoregion map was built up 
                         from a set of variables including altitude, slope, drainage 
                         density, percentage of tree cover and a vegetation map. 
                         Discriminant analysis identified the extent to which the variables 
                         are similar or different between the ecoregions, with a Kappa 
                         index of 0.86. This indicates that the methodological approach is 
                         reliable and thus can reproduce valid results over different 
                         areas. We produced a map with 14 ecoregions to account for the 
                         environmental diversity in the Purus-Madeira interfluve. This map 
                         can be used for the planning of biodiversity conservation.",
                  doi = "10.1016/j.foreco.2021.118960",
                  url = "http://dx.doi.org/10.1016/j.foreco.2021.118960",
                 issn = "0378-1127",
             language = "en",
           targetfile = "ximenes_mapping.pdf",
        urlaccessdate = "09 maio 2024"
}