@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 species’ 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 = "27 abr. 2024"
}