Literature DB >> 20004050

Assessment of nematode community structure as a bioindicator in river monitoring.

H C Wu1, P C Chen, T T Tsay.   

Abstract

Nematode communities from river water and sediments were assessed for the abundance, feeding types, maturity indices and nematode channel ratio (NCR). The sampling sites studied included different levels of pollution and contamination from agricultural, industrial and sewage sources. The nematode abundance found in the sediment samples was more than that in the water samples. The lowest nematode abundance in sediment samples and the lowest NCR in water samples were both found at the industrial pollution site. Water samples showed positive correlation between the NCR and river pollution index (RPI). Mean maturity indices in sediment samples were inversely correlated with RPI. The pollutant source determined the relationship between NCR and pollution level, while maturity index always showed negative correlation with pollutant level regardless of the pollutant sources. The nematode abundance and its community structure were both reliable bioindicators for monitoring long-term river pollution in both qualitative and quantitative aspects. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 20004050     DOI: 10.1016/j.envpol.2009.11.015

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  3 in total

1.  Utility of Classical α-Taxonomy for Biodiversity of Aquatic Nematodes.

Authors:  Wilfrida Decraemer; Thierry Backeljau
Journal:  J Nematol       Date:  2015-03       Impact factor: 1.402

2.  Probability of detecting nematode infestations for quarantine sampling with imperfect extraction efficacy.

Authors:  Peichen Chen; Shih-Chia Liu; Hung-I Liu; Tse-Wei Chen; Kuo-Szu Chiang
Journal:  J Nematol       Date:  2011-03       Impact factor: 1.402

3.  Glycoside Hydrolase (GH) 45 and 5 Candidate Cellulases in Aphelenchoides besseyi Isolated from Bird's-Nest Fern.

Authors:  Guan-Long Wu; Tzu-Hao Kuo; Tung-Tsuan Tsay; Isheng J Tsai; Peichen J Chen
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

  3 in total

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