ICYTAC   23898
INSTITUTO DE CIENCIA Y TECNOLOGIA DE ALIMENTOS CORDOBA
Unidad Ejecutora - UE
artículos
Título:
Matching Pollution with Adaptive Changes in Mangrove Plants by Multivariate Statistics. A case study, Rhizophora mangle from Four Neotropical mangroves in Brazil.
Autor/es:
SOUZA, I.C.; MOROZESK, M.; DRUMOND DUARTE I.; MARQUES-BONOMO, M.; DORSCH ROCHA, L.; FURLAN L.M.; PEREIRA ARRIVABENE H.; MONFERRÁN, M. V.; MATSUMOTO, S.T.; DIAS MILANEZ. C.; WUNDERLIN D.A.
Revista:
CHEMOSPHERE
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2014 vol. 108 p. 115 - 124
ISSN:
0045-6535
Resumen:
Roots of mangrove trees have an important role in depurating water and sediments by retaining metalsthat may accumulate in different plant tissues, affecting physiological processes and anatomy. The presentstudy aimed to evaluate adaptive changes in root of Rhizophora mangle in response to different levelsof chemical elements (metals/metalloids) in interstitial water and sediments from four neotropical mangrovesin Brazil. What sets this study apart from other studies is that we not only investigate adaptivemodifications in R. mangle but also changes in environments where this plant grows, evaluating correspondencebetween physical, chemical and biological issues by a combined set of multivariate statisticalmethods (pattern recognition). Thus, we looked to match changes in the environment with adaptations inplants. Multivariate statistics highlighted that the lignified periderm and the air gaps are directly relatedto the environmental contamination. Current results provide new evidences of root anatomical strategiesto deal with contaminated environments. Multivariate statistics greatly contributes to extrapolate resultsfrom complex data matrixes obtained when analyzing environmental issues, pointing out parametersinvolved in environmental changes and also evidencing the adaptive response of the exposed biota.