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Numerical analyses of soft bottom macroinvertebrates to diagnose the pollution in tropical coastal waters

DRS at CSIR-National Institute of Oceanography

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Title Numerical analyses of soft bottom macroinvertebrates to diagnose the pollution in tropical coastal waters
 
Creator Harkantra, S.N.
Rodrigues, N.R.
 
Subject benthos
coastal zone
pollution indicators
indicator species
tropical environment
industrial wastes
pollution effects
numerical analysis
 
Description Soft bottom benthic organisms especially polychaetes are known to adapt as r or k selected strategies to different gradients of pollution. This will result in changes of benthic community structure from that of normal structure. There are a number of techniques to assess the impact of pollution on benthic community structure. Hence, to test this hypotheses some of the univariate and multivariate techniques were applied to soft bottom macro-invertebrates data of coastal waters of Mangalore, central west coat of India, a hot-spot area. Univariable techniques such as Pearson Roesenberg Model (PRM), abundance biomass comparison curve (ABC), geometrical class distribution, dominance-diversity curve, benthic community structure indices and multivariate techniques such as cluster classification, multidimensional scaling (MDS) and principal component analysis (PCA) were used to discriminate and diagnose the disturbance among the sites. Effectiveness and applicability of some of the above techniques are highlighted and discussed with the present set of data for environmental impact assessment studies
 
Date 2008-07-18T05:07:22Z
2008-07-18T05:07:22Z
2003
 
Type Journal Article
 
Identifier Environmental Monitoring and Assessment, Vol.93; 251-275p.
http://drs.nio.org/drs/handle/2264/1218
 
Language en
 
Rights Copyright [2003]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
 
Publisher Springer