ECOLOGICAL INDICATOR AGENTS FOR INORGANIC CONTAMINANTS STATE MONITORING THROUGH SONNERATIA ALBA, AVICENNIA ALBA AND RHIZOPHORA APICULATA
DOI:
https://doi.org/10.11113/jt.v77.6874Keywords:
Sonneratia alba, Avicennia alba, Rhizophora apiculata, phyto-indicator, heavy metals, ecological indicator, green technologyAbstract
Mangrove forest ecosystems are threatened by direct impacts such as cutting and pollution due to agricultural, industrialization and urbanization activities. Mangrove forests are often regarded as unpleasant environments with little intrinsic value. Mangrove forests perform valued regional and site-specific functions. Mangrove species can take up excessive nutrients and also play a crucial role in creating a favourable environment for a variety of chemical, biological and physical processes that contribute to the inorganic removal and degradation of organic compounds. Among the many mangrove species, Sonneratia alba, Avicennia alba and Rhizophora apiculata have been studied for biomonitoring of toxic heavy metals elements (Fe, Cu, Zn, Pb and Mn) in a wide range of plant tissues (roots and leaves) and sediment composition at three different locations in Negeri Sembilan, west coast of Malaysia. The results established that there were significant differences between the three mangrove species, locations, plant tissues and sediment samples and their interaction for all the five heavy metals content. The findings revealed that leaf tissues for all species accumulated mostly Fe, Zn, Pb and Cu. Interestingly we noticed that different localities will accumulate different type of heavy metals, for instance R. apiculata leaf tissues were detected with higher concentration of Cu and Pb at Kampung Sungai Sekawang whereas in another two sites were detected with Cu, Fe, Zn and Pb. S. alba indicated that the most heavy metals highly accumulated was Zn followed by Pb and Cu at Pasir Panjang. In this study A. alba showed Zn was highly accumulated in leaf tissues at Pasir Panjang. Thus, those three mangrove species appear to have the greatest potential for use as an effective ecological indicator tools as green application for inorganic contaminants monitoring in mangrove ecosystems.
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