ICYTAC   23898
INSTITUTO DE CIENCIA Y TECNOLOGIA DE ALIMENTOS CORDOBA
Unidad Ejecutora - UE
congresos y reuniones científicas
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:
DA COSTA SOUZA IARA; 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.R; WUNDERLIN D.A; NARCISO FERNANDES M
Lugar:
Shangai
Reunión:
Congreso; ECSA 53: Estuaries and coastal areas in times of intense change; 2013
Resumen:
Mangroves are dynamic environments under tidal marine influence and anthropogenic activity. Industries, harbours and domestic residues may accumulate and contaminate these environments. Mangrove sediments are rich in organic matter and have high capacity to retain metals. The potential accumulation of such contaminants in local biota may result in changes in the structure of native plants. The main goal of this study was to evaluate the effect of metal pollution in mangrove areas and the possible bioaccumulation in the native plant, Rhizophora mangle as well as the changes in the root and leaves structure. The correlation between environmental contamination level and changes in the root anatomy were also analyzed. Four neotropical estuaries areas affected by different anthropogenic factors were studied in the Espírito Santo State, Brazil. Interstitial water, sediment and R. mangle roots and leaves were collected in the winter and summer seasons. Multivariate data treatment of metals levels in water, sediment and root showed spatial differences between studied areas. Such analysis also evidenced two contamination sources that were strongly associated with root anatomy. The concentration of metals in the roots were higher than in leaves suggesting that low level of metals were transported to the leaves. Then, these results highlight the need of an integrated approach to evaluate the influence of estuary pollution on native plant, considering the uptake nutrients. Multivariate statistics presents a quite novel approach to integrate data from different origin allocated in the same estuary.