2014
DOI: 10.1016/j.ecolind.2014.06.009
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An approach to determination of functional species pool for community research

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Cited by 41 publications
(10 citation statements)
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References 16 publications
(23 reference statements)
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“…The step-best-matching analysis was used to exhaustively select the best matching subsets that were significantly correlated with the matrix of the full species abundance dataset from the same dataset by discarding the former selections using the submodule BVSTEP in the PRIMER v6.1.16 package (Clarke and Gorley 2006). The initial selection was define as best 1, second selection after discarding the first selection as best 2, third selection after discarding the first and second selection as best 3,…, and last selection with significant correlation with the matrix of full species set after peeling out selections 1-n from full species set as best n (Zhong et al 2014). Using the selections identified at a 0.95 correlation level with the full species dataset, a smallest subset of species was determined as an optimal species pool with sufficient information of the full species set (Clarke and Gorley 2006).…”
Section: Data Analysesmentioning
confidence: 99%
“…The step-best-matching analysis was used to exhaustively select the best matching subsets that were significantly correlated with the matrix of the full species abundance dataset from the same dataset by discarding the former selections using the submodule BVSTEP in the PRIMER v6.1.16 package (Clarke and Gorley 2006). The initial selection was define as best 1, second selection after discarding the first selection as best 2, third selection after discarding the first and second selection as best 3,…, and last selection with significant correlation with the matrix of full species set after peeling out selections 1-n from full species set as best n (Zhong et al 2014). Using the selections identified at a 0.95 correlation level with the full species dataset, a smallest subset of species was determined as an optimal species pool with sufficient information of the full species set (Clarke and Gorley 2006).…”
Section: Data Analysesmentioning
confidence: 99%
“…Otherwise, microbial eukaryotes play an important function in maintaining and improving water quality due to their high tolerance to the extreme environmental conditions and inhabit biotopes compared to metazoa (Patterson et al, 1989;Coppellotti and Matarazzo, 2000;Xu et al, 2008). Furthermore, with their short generation times, sensitivity to environmental changes, they have widely been used as useful bioindicators of water quality in aquatic biotopes (Khatoon et al, 2007;Dorigo et al, 2009Dorigo et al, , 2010Morin et al, 2010;Xu et al, 2012Xu et al, , 2014aXu et al, , 2014bZhong et al, 2014).…”
Section: Introductionmentioning
confidence: 97%
“…The other approach is to identify a taxonomic/ecological group as a surrogate of the whole species dataset (Olsgard and Somerfield 2000;Bertasi et al 2009;Carneiro et al 2010;Xu et al 2011a;Jiang et al 2014). Although the effectiveness of taxonomic/ ecological surrogates has been reported on metazoan, phytoplanktonic, and ciliated protozoan assemblages, such studies have yet to be carried out on assessing water quality status based on the BDC communities in coastal waters (Bertasi et al 2009;Carneiro et al 2010;Xu et al 2011a;Zhong et al 2014).…”
Section: Introductionmentioning
confidence: 99%