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(Article of periodic en Anglais - 2014)

Document title

Heavy metal contamination and ecological risk assessments in the sediments and zoobenthos of selected mangrove ecosystems, South China

Authors(s) and Affiliation(s)

LIU J. (1 3) ; WU H. (2) ; FENG J. (4) ; LI Z. (4) ; LIN G. (2 5) ;
(1) China Univ. of Geosciences, Fac. of Earth Sciences, Wuhan, CHINE
(2) Division of Ocean Science and Technology, Graduate School, Tsinghua Univ., Shenzen, CHINE
(3) Key Lab. of Tropical Marine Bio-resources and Ecology, South China Sea Inst. of Oceanology, CAS, Guangzhou, CHINE
(4) Key Lab. of MOE for Coast and Wetland Ecosystems, College of the Environment, Univ., Xiamen, CHINE
(5) Ministry of Education Key Lab. for Earth System Modeling, Center for Earth System Science, Tsinghua Univ., Beijing, CHINE

Abstract

This study aimed to investigate heavy metal contamination in the sediments and zoobenthos in different mangrove ecosystems of southern China and to evaluate potential ecology risks of heavy metals in the sediment of mangrove ecosystems. Significant differences among different geographical regions were observed for the contents of Cu, Zn, As, Cd, and Pb in the sediment, while no significant differences were found among different vegetations. Except for Pb, the heavy metal contents in 2 species of crabs in the Aegiceras corniculatum forest were lower than those in Bruguiera gymnorrhiza forest or Pagatpat forest. The sediment in the most mangrove ecosystems of China posed considerable or moderate ecological risk. Correlation analysis and principal component analysis (PCA) revealed that Cr, Cu, Zn and Pb were mainly derived from anthropogenic activities such as industrial effluents and domestic sewage

Source

Article of periodic

published at : Catena / ISSN 0341-8162

Editor : Catena, Cremlingen-Destedt - ALLEMAGNE (1973)

Millesime : 2014, no119 [pp. 136-142]

Bibliographic references : 1 p.

Collation : 4 fig., 5 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 16767

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.catena.2014.02.009

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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