@InProceedings{KrugGherStec:2009:MoPrBr,
               author = "Krug, Lilian Anne and Gherardi, Douglas Francisco Marcolino and 
                         Stech, Jos{\'e} Luiz",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais/SP} and {Instituto 
                         Nacional de Pesquisas Espaciais/SP} and {Instituto Nacional de 
                         Pesquisas Espaciais/SP}",
                title = "Modelo de previs{\~a}o de branqueamento de corais a partir de 
                         dados de sensoriamento remoto, an{\'a}lise e rean{\'a}lise",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6509--6516",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "branqueamento de coral, recifes de coral da Bahia, redes 
                         Bayesianas.",
             abstract = "The reef ecosystem depends on healthy zooxanthellae, symbiotic 
                         microalgae that live in coral tissues. Under stressful conditions, 
                         the host corals expel the zooxanthellae in a phenomenon called 
                         bleaching. The stress can be inducted by environmental changes and 
                         results in severe impacts on coral metabolism, sometimes leading 
                         to death. The present study aims to connecting atmospheric and 
                         oceanographic data obtained from remote sensing, analysis and 
                         reanalysis, with bleaching events along the Bahia State coast and 
                         to model this relation using Bayesian networks (BN). The 
                         environmental variables are rain precipitation, diffuse 
                         attenuation coefficient at 490 nm (K490), wind fields at sea 
                         surface and maximum sea surface temperature. The constructed BN 
                         connected bleaching events to thermal variables, resultant wind 
                         intensity and El Niņo Southern Oscillation (ENSO) event. The BN 
                         indicates that temporal persistence of high SST values is the most 
                         influent variable on the bleaching intensity and present a 
                         predictive rate of 83%, being capable of satisfactorily learn the 
                         bleaching conditions from data. The results from this work improve 
                         our understanding of this ecological system and present a 
                         framework from which coral bleaching can be predicted using 
                         environmental data. This has positive implications on the 
                         management, monitoring and conservation of the Brazilian reef 
                         environments.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.16.41",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.16.41",
           targetfile = "6509-6516.pdf",
                 type = "Oceanografia",
        urlaccessdate = "09 maio 2024"
}