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Journal of Applied Sciences and Environmental Management
World Bank assisted National Agricultural Research Project (NARP) - University of Port Harcourt
ISSN: 1119-8362
Vol. 19, No. 1, 2015, pp. 21-27
Bioline Code: ja15003
Full paper language: English
Document type: Research Article
Document available free of charge

Journal of Applied Sciences and Environmental Management, Vol. 19, No. 1, 2015, pp. 21-27

 en Assessment of In-Situ Natural Dendroremediation Capability of Rhizophora racemosa check for this species in other resources in a Heavy Metal Polluted Mangrove Forest, Rivers State, Nigeria


Environmental pollution is assuming frightening dimensions in many parts of the world. This is not excluding Niger-Delta region of Nigeria where most of the country’s oil and gas are sourced with attendant production of noxious substances as byproducts/ residues/waste. Many of these noxious substances have been noted to be removable from polluted environment through proper application of phytoremediation techniques, particularly using native plant species. Consequently, this research was conceived to evaluate potentials for phytomediation by native red mangrove tree ( Rhizophora racemosa check for this species in other resources G.F.W. Meyer). This was carried out by evaluating the presence of heavy metals ions and their bioconcentration levels in the samples of root and wood tissues axially along the stem of this tree. The sorrounding soil and water were also sampled and evaluated for presence and concentration of these metal ions in comparison with those for the sampled plant tissues. All the samples were sourced from a mangrove forest in Okrika, Rivers State, Nigeria. The samples from the root, butt, 50% and 90% bole length were oven-dried at 60±5°C to constant weight, pulverised and heated with trioxonitrate (v) acid to achieve total dissolution before subjecting them to atomic absorption spectroscopy (AAS). Similarly, samples from sorrouding soil were dried at 35±2°C to constant weight, crushed and sieved using a ≤ 2mm mesh before performing metal extraction and detection using AAS while water samples were also subjected to AAS for heavy metal analyses, in line with appropriate standard methods. The data obtained were statistically analysed using basic descriptive tools, Analyses of Variance and Fishers’ Least Significant Difference (P < 0.05). Outcomes of these statistical analyses showed that, in terms of bio-concentration values, the evaluated metal ions that include Fe, Cu, Mn, Cd, Pb, Ni and Cr were more in the root than the surrounding soil and water. The bio-concentration trends, for the metal ions, also progressively declined from the root towards the crown of the trees. The bio-concentration distribution in all the tree sections showed an inconsistent pattern with Fe ions having higher bio-concentration. In addition, Cr, Ni, Pd and Cu also inconsistently followed Fe in terms of bio-concentration level.

Mangrove forest; Coastal pollution; Noxious substances; Toxic metals; Phytoremediation

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