Phylogenetic diversity of larval Chironomidae (Diptera) in lowland rivers as a potential tool in assessment of environmental quality

被引:8
作者
Koperski, Pawel [1 ]
机构
[1] Univ Warsaw, Dept Hydrobiol, Fac Biol, Biol & Chem Res Ctr, Zwirki & Wigury 101, PL-02089 Warsaw, Poland
关键词
Benthos; Biological assessment; Diversity; Macroinvertebrates; Nonlinear; Phylogenetic distance; TAXONOMIC DISTINCTNESS; MOLECULAR PHYLOGENY; COMMUNITY STRUCTURE; HEADWATER STREAMS; BETA DIVERSITY; BIODIVERSITY; INDEX; DISCRIMINATION; BIOASSESSMENT; DETERMINANTS;
D O I
10.1007/s10750-019-3942-7
中图分类号
Q17 [水生生物学];
学科分类号
071004 ;
摘要
Different components of biological diversity of larval Chironomidae, typically the most abundant and the most diverse of all lotic zoo-benthos, were assessed to determine their suitability in prediction of the environmental quality. Animals were collected as 73 samples at 62 riverine sites on the territory of Poland and identified morphologically. The analysis of nonlinear regression was used to compare the suitability of the seven indices of diversity. Traditional indices of taxonomic diversity (taxonomic richness, Margalef and Shannon indices) and indices of taxonomic distinctness were found to be unsuitable for this purpose because of the unimodal type of response of their values along with the gradient of the environmental quality. Contrary to them, values of two measures of phylogenetic diversity monotonically increased along with the values of environmental quality measured by official index MMI (Multimetric Macroinvertebrate Index) and were considered highly useful. The best fitted functions estimating relationships between MMI and both indices of phylogenetic diversity (total phylogenetic distance and quadratic entropy) were statistically highly significant and have high values of the fit-accuracy parameters. Original index of phylogenetic diversity ChiPDi based on total phylogenetic diversity, quadratic entropy and taxonomic richness has been presented as well as the proposal of related procedure using barcoding methods.
引用
收藏
页码:83 / 96
页数:14
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