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@Article{XimenesMaedArcoDahd:2016:SpAsBi,
               author = "Ximenes, Arimat{\'e}a C. and Maeda, Eduardo Eiji and Arcoverde, 
                         Gustavo Felipe Balu{\'e} and Dahdouh-Guebas, Farid",
          affiliation = "{Universit{\'e} Libre de Bruxelles} and {University of Helsinki} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universit{\'e} Libre de Bruxelles}",
                title = "Spatial assessment of the bioclimatic and environmental factors 
                         driving mangrove tree speciesí distribution along the brazilian 
                         coastline",
              journal = "Remote Sensing",
                 year = "2016",
               volume = "8",
               number = "6",
             keywords = "wetland, climate, conservation, remote sensing, data-driven, data 
                         intensive science, Rhizophoraceae, Acanthaceae.",
             abstract = "Brazil has one of the largest mangrove surfaces worldwide. Due to 
                         a wide latitudinal distribution, Brazilian mangroves can be found 
                         within a large range of environmental conditions. However, little 
                         attention has been given to the description of environmental 
                         variables driving the distribution of mangrove species in Brazil. 
                         In this study, we present a novel and unprecedented description of 
                         environmental conditions for all mangroves along the Brazilian 
                         coast focusing on species limits. We apply a descriptive 
                         statistics and data-driven approach using Self-Organizing Maps and 
                         we combine data from terrestrial and marine environmental 
                         geodatabases in a Geographical Information System. We evaluate 25 
                         environmental variables (21 bioclimatic variables, three sea 
                         surface temperature derivates, and salinity). The results reveal 
                         three groups of correlated variables: (i) air temperature 
                         derivates and sea surface temperature derivates; (ii) air 
                         temperature, potential evapotranspiration and precipitation 
                         derivates; and (iii) precipitation derivates, aridity and 
                         salinity. Our results unveil new locations of extreme values of 
                         temperature and precipitation. We conclude that Rhizophora 
                         harrisonii and Rhizophora racemosa are more limited by 
                         precipitation and aridity and that they do not necessarily follow 
                         a latitudinal gradient. Our data also reveal that the lowest air 
                         temperatures of the coldest month are not necessarily found at the 
                         southernmost limits of mangroves in Brazil; instead they are 
                         localized at the Mesoregion of Vale do Itaja{\'{\i}}. However, 
                         the minimum sea surface temperature drops gradually with higher 
                         latitudes in the Brazilian southern hemisphere and is probably a 
                         better indicator for the decrease of species at the latitudinal 
                         limits of mangroves than the air temperature and precipitation.",
                  doi = "10.3390/rs8060451",
                  url = "http://dx.doi.org/10.3390/rs8060451",
                 issn = "2072-4292",
             language = "en",
           targetfile = "ximenes_spatial.pdf",
        urlaccessdate = "24 nov. 2020"
}


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