@InProceedings{LopesLimaSilv:2017:DiGeCo,
               author = "Lopes, Luana Gaspar do Nascimento and Lima, Vitor Araujo and 
                         Silva, Ary Gomes da",
                title = "Distribui{\c{c}}{\~a}o geogr{\'a}fica conhecida e potencial de 
                         Melipona quadrifasciata",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4467--4473",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This study aimed to map areas favorable for Melipona 
                         quadrifasciata. For doing the used the species Distribution 
                         Modeling, generating potential areas in Brazil, using the concept 
                         of maximum entropy (Maxent 3.3.3). We considered 106 natural 
                         occurrence points of M. quadrifasciata obtained through 
                         bibliographic and herbarium records were used from searches in the 
                         Specieslink (2016), GBIF (2016) database. The simulation of the 
                         potential areas for M. quadrifasciata presented the training 
                         average AUC for the runs of 0.850, with a standard deviation of 
                         0.016 and the binomial probability was of 0.0001 indicating the 
                         low probability of this model being generated at random. The 
                         evaluated indicators suggest that the model is satisfactory in the 
                         estimation of the adequacy distribution of M. quadrifasciata 
                         habitat. Analyzing the presented result, it is verified that there 
                         are some areas of high environmental suitability without record of 
                         occurrence of the species nearby, which could indicate potential 
                         areas for new collections in the future.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60125",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM36N",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM36N",
           targetfile = "60125.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "27 abr. 2024"
}