title: [Nonparametric methods for comparative assessment of species diversity as applied to riverine macrozoobenthic communities].
abstract: Models for relationship between sampling effort and estimates of species number and other characteristics of species diversity are considered and evaluated. In the analysis, different randomization algorithms and other statistical methods of monitoring data processing are used including jackknife and bootstrap procedures, algorithms ICE and Chao2, Colwell-Mao interpolation model, Mikhaelis-Menten curves, and others. A comparative analysis of overall species richness in macrozoobenthic communities using streams of the Lower Volga basin as a case study is performed with the aid of different extrapolation models, and the resulting estimates are discussed. The relationships are analyzed between sampling effort (number of hydrobiological samples) and cumulative estimates of species richness and basic indices of species diversity. The means towards improvement of conclusions substantiation when ranking riverine communities by species diversity are considered.
authors.forename: V K
authors.initials: VK
authors.lastname: Shitikov
authors.forename: T D
authors.initials: TD
authors.lastname: Zinchenko
authors.forename: E V
authors.initials: EV
authors.lastname: Abrosimova
mesh_terms: D000818:Animals; D044822:Biodiversity; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data; D056145:Freshwater Biology / Q000379:methods / Q000706:statistics & numerical data; D008962:Models, Theoretical; D011156:Population Density; D045483:Rivers; D018709:Statistics, Nonparametric