Literature DB >> 24198092

Efficiency of a standardized artificial substrate for biological monitoring of river water quality.

A Pashkevich1, T Pavluk, A B De Vaate.   

Abstract

Before using macroinvertebrates in water quality assessment in the Chusovaya River (Russia, the Urals, 50°55'N, 60° E), preliminary results of three sampling methods were compared: handnet, circular shovel and a standardized artificial substrate sampler. The artificial substrate consisted of glass marbles (ϕ 20 mm). To compare the efficiency of these sampling methods the total numbers of taxa found at each location per sampling data were considered to be 100%. The highest efficiency was reached with the artificial substrate sampler. 75-100% of the taxa at the different locations were collected with this sampler. Only 5-19% and 10-20% of the taxa at each location per sampling date were collected with the circular shovel in the sand and gravel substrate respectively, being the lowest efficiency. Intermediate results were obtained with the hand net. 23-38% of the taxa were collected with this net. Based on these results and requirements placed upon sampling methods in general, the standardized artificial substrate sampler has been considered to be an optimal sampling device for macroinvertebrates in biological monitoring.

Year:  1996        PMID: 24198092     DOI: 10.1007/BF00414388

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Performance of two artificial substrate samplers for macroinvertebrates in biological monitoring of large and deep rivers and canals in Belgium and The Netherlands.

Authors:  N de Pauw; V Lambert; A van Kenhove; A B de Vaate
Journal:  Environ Monit Assess       Date:  1994-03       Impact factor: 2.513

  1 in total
  2 in total

1.  Monitoring changes in freshwater macroinvertebrate communities along a salinity gradient using artificial substrates.

Authors:  Christophe Piscart; Jean-Claude Moreteau; Jean-Nicolas Beisel
Journal:  Environ Monit Assess       Date:  2006-05       Impact factor: 2.513

2.  Principal response curves technique for the analysis of multivariate biomonitoring time series.

Authors:  Paul J van den Brink; Piet J den Besten; Abraham bij de Vaate; Cajo J F ter Braak
Journal:  Environ Monit Assess       Date:  2008-05-17       Impact factor: 2.513

  2 in total

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