Literature DB >> 23996646

Towards a protocol for stream macroinvertebrate sampling in China.

Li Li1, Lusan Liu, Robert M Hughes, Yong Cao, Xing Wang.   

Abstract

Standard protocols are critical for maximizing data comparability and aggregation in national monitoring programs, and taxa richness is a common indicator of site condition and biological diversity. There are two general approaches for sampling stream macroinvertebrate assemblages: targeted richest habitat and site wide. At seven sites, we compared three methods: Ontario Benthic Biomonitoring Network (OBBN), Environmental Monitoring and Assessment Program (EMAP), and Rapid Bioassessment Protocol (RBP). The OBBN method produced a biased sample at a site with a single small riffle, the RBP method produced the most total taxa, and the EMAP method produced the most taxa at four sites and the most individuals at six sites. The RBP method produced asymptotes for percent tolerant individuals, percent chironomid individuals, and Hilsenhoff Biotic Index score after five to ten stations. The EMAP method produced asymptotes for those metrics after 10 to 20 stations per site. The EMAP method typically required half the number of stations as the RBP method to obtain 70-90% of true taxa richness as estimated by the Jaccard coefficient. We conclude that the EMAP method is preferable because of its greater precision in taxa richness estimates.

Mesh:

Year:  2013        PMID: 23996646     DOI: 10.1007/s10661-013-3391-0

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


  4 in total

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Authors:  Yong Cao; Charles P Hawkins; David P Larsen; John Van Sickle
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2.  Estimating vertebrate, benthic macroinvertebrate, and diatom taxa richness in raftable Pacific Northwest rivers for bioassessment purposes.

Authors:  Robert M Hughes; Alan T Herlihy; William J Gerth; Yangdong Pan
Journal:  Environ Monit Assess       Date:  2011-06-29       Impact factor: 2.513

3.  The problem of using fixed-area subsampling methods to estimate macroinvertebrate richness: a case study with Neotropical stream data.

Authors:  Raphael Ligeiro; Wander Ferreira; Robert M Hughes; Marcos Callisto
Journal:  Environ Monit Assess       Date:  2012-08-29       Impact factor: 2.513

4.  Estimating terrestrial biodiversity through extrapolation.

Authors:  R K Colwell; J A Coddington
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1994-07-29       Impact factor: 6.237

  4 in total
  4 in total

1.  Stream biomonitoring using macroinvertebrates around the globe: a comparison of large-scale programs.

Authors:  Daniel F Buss; Daren M Carlisle; Tae-Soo Chon; Joseph Culp; Jon S Harding; Hanneke E Keizer-Vlek; Wayne A Robinson; Stephanie Strachan; Christa Thirion; Robert M Hughes
Journal:  Environ Monit Assess       Date:  2014-12-09       Impact factor: 2.513

2.  The role of physical habitat and sampling effort on estimates of benthic macroinvertebrate taxonomic richness at basin and site scales.

Authors:  Déborah R O Silva; Raphael Ligeiro; Robert M Hughes; Marcos Callisto
Journal:  Environ Monit Assess       Date:  2016-05-10       Impact factor: 2.513

3.  Biological assessment of western USA sandy bottom rivers based on modeling historical and current fish and macroinvertebrate data.

Authors:  Robert M Hughes; Meredith Zeigler; Shann Stringer; Gordon W Linam; Joseph Flotemersch; Benjamin Jessup; Seva Joseph; Gerald Jacobi; Lynette Guevara; Robert Cook; Patricia Bradley; Kristopher Barrios
Journal:  River Res Appl       Date:  2022-01-11       Impact factor: 2.780

4.  Quantifying the responses of biological indices to rare macroinvertebrate taxa exclusion: Does excluding more rare taxa cause more error?

Authors:  Zhengda Yu; Hui Wang; Jiao Meng; Mingsheng Miao; Qiang Kong; Renqing Wang; Jian Liu
Journal:  Ecol Evol       Date:  2017-02-08       Impact factor: 2.912

  4 in total

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