@Article{LuizFariEsca:2019:MoApPr,
               author = "Luiz, Carlos Henrique Pires and Faria, Sergio Donizete and Escada, 
                         Maria Isabel Sobral",
          affiliation = "{Universidade de Bras{\'{\i}}lia (UnB)} and {Universidade 
                         Federal de Minas Gerais (UFMG)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Modelling approach for predicting landscape changes in expanding 
                         eucalyptus plantations in brazil",
              journal = "Mercator",
                 year = "2019",
               volume = "18",
                pages = "e18019",
             keywords = "Land Change Modeler, Analysis of change, Simulation, landscape 
                         ecology.",
             abstract = "This paper combines remote sensing, environmental modeling, and 
                         landscape ecology to investigate the impacts of the expansion of 
                         eucalyptus reforestation. Using these techniques, a methodology 
                         was developed to analyze and predict future land cover and 
                         landscape structure trends. The study area was comprised of the 
                         river basin municipalities in Rio Piracicaba and the metropolitan 
                         region of Vale do A{\c{c}}o (RMVA), a region that is home to 
                         large steel, paper, and cellulose industries in Minas Gerais. This 
                         major hub of economic development in the state has altered the 
                         landscape through deforesting native vegetation and planting 
                         eucalyptus trees. Land cover data were taken from satellite image 
                         classifications (TM/Landsat) from 1985, 2010 and 2013 in order to 
                         study the land cover changes. A number of variables that stimulate 
                         or restrict these alterations and the eucalyptus expansion 
                         observed between 1985 and 2010 were used to simulate the 
                         eucalyptus expansion, through Multi-Layer Perception Neural 
                         Networking. The results showed that the areas of Eucalyptus 
                         reforestation increased by about 12% between 1985 and 2010, 
                         whereas forest areas contracted by approximately 9%, and pasture 
                         by 3%. The simulated eucalyptus expansion indicated that by 2035 
                         the structure of the landscape will have changed, with an 
                         increased level of isolation of the forest patches and a decrease 
                         in their nuclear area.",
                  doi = "10.4215/rm2019.e18019",
                  url = "http://dx.doi.org/10.4215/rm2019.e18019",
                 issn = "1676-8329",
                label = "lattes: 9947670889009026 3 LuizFariEsca:2019:MOAPPR",
             language = "pt",
           targetfile = "luiz_modelling.pdf",
                  url = "http://www.mercator.ufc.br/mercator/article/view/e18019",
        urlaccessdate = "20 maio 2024"
}