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Authors Ximenes, AC; Maeda, EE; Arcoverde, GFB; Dahdouh-Guebas, F
Author Full Name Ximenes, Arimatea C.; Maeda, Eduardo Eiji; Arcoverde, Gustavo Felipe Balue; Dahdouh-Guebas, Farid
Title Spatial Assessment of the Bioclimatic and Environmental Factors Driving Mangrove Tree Species' Distribution along the Brazilian Coastline
Source REMOTE SENSING
Language English
Document Type Article
Author Keywords wetland; climate; conservation; remote sensing; data-driven; data intensive science; Rhizophoraceae; Acanthaceae
Keywords Plus SELF-ORGANIZING MAPS; RESOLUTION IMAGERY; FORESTS; CLASSIFICATION; IDENTIFICATION; ECOSYSTEMS; ECOLOGY; AREAS; MODEL
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 Itajai. 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.
Author Address [Ximenes, Arimatea C.; Dahdouh-Guebas, Farid] ULB, Lab Syst Ecol & Resource Management, B-1050 Brussels, Belgium; [Ximenes, Arimatea C.; Dahdouh-Guebas, Farid] VUB, Lab Plant Biol & Nat Management, B-1050 Brussels, Belgium; [Maeda, Eduardo Eiji] Univ Helsinki, Dept Geosci & Geog, POB 68, FI-00014 Helsinki, Finland; [Arcoverde, Gustavo Felipe Balue] Natl Inst Space Res INPE, Ctr Earth Syst Sci, BR-1227010 Sao Jose Dos Campos, Brazil
Reprint Address Ximenes, AC (corresponding author), ULB, Lab Syst Ecol & Resource Management, B-1050 Brussels, Belgium.; Ximenes, AC (corresponding author), VUB, Lab Plant Biol & Nat Management, B-1050 Brussels, Belgium.
E-mail Address ximenes@protonmail.com; eduardo.maeda@helsinki.fi; gustavo.arcoverde@inpe.br; fdahdouh@ulb.ac.be
ResearcherID Number Ximenes, Arimatea C/C-8719-2012; Maeda, Eduardo/E-7327-2011
ORCID Number Ximenes, Arimatea C/0000-0002-9111-5481; Maeda, Eduardo/0000-0001-7932-1824; DAHDOUH-GUEBAS, Farid/0000-0002-5906-8996
Funding Agency and Grant Number Brazilian scholarship Ciencias sem Fronteiras (Science without Borders) CNPq [201782/2014-6]; Belgian National Science Foundation FNRS ('Mandat d'Impulsion Scientifique' MIS)Fonds de la Recherche Scientifique - FNRS [1765914]; University Foundation of Belgium (Universitaire Stichting van Belgie/Fondation Universitaire de la Belgique US-FU); ESRI; Academy of FinlandAcademy of Finland
Funding Text The first author is grateful to the financial and administrative authorities at the Brazilian scholarship Ciencias sem Fronteiras (Science without Borders) CNPq (201782/2014-6) and to the Belgian National Science Foundation FNRS ('Mandat d'Impulsion Scientifique' MIS ID 1765914) for the PhD scholarship (2011-2014). The publication was made possible with financial support of the University Foundation of Belgium (Universitaire Stichting van Belgie/Fondation Universitaire de la Belgique US-FU). The authors also wishes to thank ESRI for supporting this conservation project with the license of the ArcGIS 10. We are also grateful to the internship students from the program of Science without Borders: Maria Flavia Barbosa Xavier and Gabriel Matos that helped the cleaning the raw data at the beginning of this research. Eduardo Maeda is funded by the Academy of Finland.
Times Cited 9
Total Times Cited Count (WoS, BCI, and CSCD) 9
Publisher MDPI AG
Publisher City BASEL
Publisher Address POSTFACH, CH-4005 BASEL, SWITZERLAND
ISSN 2072-4292
29-Character Source Abbreviation REMOTE SENS-BASEL
ISO Source Abbreviation Remote Sens.
Publication Date JUN
Year Published 2016
Volume 8
Issue 6
Article Number 451
Digital Object Identifier (DOI) 10.3390/rs8060451
Page Count 27
Web of Science Category Environmental Sciences; Remote Sensing
Subject Category Environmental Sciences & Ecology; Remote Sensing
Document Delivery Number DR6BE
Unique Article Identifier WOS:000379985300011
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