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拉克沙群岛群海草中的重金属富集——多元统计分析。

Heavy metal enrichment in the seagrasses of Lakshadweep group of islands--a multivariate statistical analysis.

机构信息

Centre of Advanced Study in Marine Biology, Faculty of Marine Sciences, Annamalai University, Parangipettai 608 502 Tamil Nadu, India.

出版信息

Environ Monit Assess. 2013 Jan;185(1):673-85. doi: 10.1007/s10661-012-2583-3. Epub 2012 Mar 7.

DOI:10.1007/s10661-012-2583-3
PMID:22396069
Abstract

An assessment on heavy metal (Al, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb and Zn) accumulation by seven seagrass species of Lakshadweep group of islands was carried out using multivariate statistical tools like principal component analysis (PCA) and cluster analysis (CA). Among all the metals, Mg and Al were determined in higher concentration in all the seagrasses, and their values varied with respect to different seagrass species. The concentration of the four toxic heavy metals (Cd, Pb, Zn and Cu) was found higher in all the seagrasses when compared with the background values of seagrasses from Flores Sea, Indonesia. The contamination factor of these four heavy metals ranged as Cd (1.97-12.5), Cu (0.73-4.40), Pb (2.3-8.89) and Zn (1.27-2.787). In general, the Pollution Load Index (PLI) calculated was found to be maximum for Halophila decipiens (58.2). Results revealed that Halophila decipiens is a strong accumulator of heavy metals, followed by Halodule uninervis and Halodule pinifolia, among all the tested seagrasses. Interestingly, the small-leaved seagrasses were found to be efficient in heavy metal accumulation than the large-leaved seagrass species. Thus, seagrasses can better be used for biomonitoring, and seagrasses can be used as the heavy metal sink as the biomass take usually long term to get remineralize in nature.

摘要

采用主成分分析(PCA)和聚类分析(CA)等多元统计工具,对拉克沙群岛组的 7 种海草物种进行了重金属(Al、Cd、Co、Cr、Cu、Fe、Mg、Mn、Ni、Pb 和 Zn)积累的评估。在所有金属中,Mg 和 Al 在所有海草中的浓度都较高,其值因不同的海草物种而异。与印度尼西亚弗洛雷斯海的海草背景值相比,所有海草中的四种有毒重金属(Cd、Pb、Zn 和 Cu)浓度都较高。这四种重金属的污染因子范围为 Cd(1.97-12.5)、Cu(0.73-4.40)、Pb(2.3-8.89)和 Zn(1.27-2.787)。一般来说,计算出的污染负荷指数(PLI)发现 Halophila decipiens(58.2)最高。结果表明,Halophila decipiens 是重金属的强积累者,其次是 Halodule uninervis 和 Halodule pinifolia,在所有测试的海草中。有趣的是,与大叶片海草物种相比,小叶片海草被发现更有效地积累重金属。因此,海草可以更好地用于生物监测,并且海草可以作为重金属汇,因为生物量通常需要很长时间才能在自然界中重新矿化。

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