@InProceedings{ValerianoBuurValeAmar:2014:AgMoSi,
               author = "Valeriano, Diana Damasceno Barreto and Buurman, Merret and 
                         Valeriano, Dalton Morrisson and Amaral, Silvana",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Institute 
                         for Geoinformatics – University of Munster Munster, DE and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Agent-based Model do simulate Araucaria angustifolia Forest 
                         Dynamics as a tool for Forest Management",
            booktitle = "Anais...",
                 year = "2014",
                pages = "1131--1140",
         organization = "Congresso da Sociedade Brasileira de Computa{\c{c}}{\~a}o, 24. 
                         (CSBC).",
            publisher = "SBC",
              address = "Brasilia",
             abstract = "The objective of this project was developing an agent-based model 
                         to simulate the successional evolution of Araucaria angustifolia 
                         [Bertol.) Kuntze (Brazilian pine) in a natural forest stand 
                         providing useful information for forest management purpose. Using 
                         TerraME as computational framework, the colonization dynamic of 
                         Araucaria was represented as an agent with behavior modeled by its 
                         life cycle of recruitment, growth, dispersion and death. The model 
                         functioning was testing simulating scenarios with and without 
                         fires disturbances. Preliminary results are in accordance with 
                         conceptual models proposed for these forests. This work emphasizes 
                         the modelling relevance, constructing simulated scenarios that can 
                         be further integrated into decision making for natural resources 
                         management.",
  conference-location = "Brasilia",
      conference-year = "2014",
                label = "lattes: 3854323052723159 4 ValerianoValAmaAma:2014:AgMoSi",
             language = "pt",
           targetfile = "002dianna.pdf",
        urlaccessdate = "23 abr. 2024"
}