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Multiscale determinants of riverine chironomid species richness were assessed in seven rivers in Central Poland, an area representative of the European temperate climatic zone. The impact of environmental factors, seasonality, as well as the concepts of gamma diversity, i.e. habitat species richness (HSR), alpha diversity, i.e. local species richness (LSR), and the relationships between these, i.e. beta diversity, were studied.One site in each river was defined as a habitat and monthly LSR time series data were obtained at each site over a full annual cycle for analysis. No strong trend in the time series was detected. The autocorrelation function (ACF) indicated that the time series were uncorrelated white noise.A stepwise forward regression model with no HSR indicated that depth, Substrate Index (SI), velocity and dissolved oxygen were significant factors of LSR values in the studied area, explaining together with summer (as a dummy variable) 67.01% of LSR variance (R2adj = 0.66). Seasonality was noticeable in the impact of summer on increase in species richness. When HSR was included in a similar model then it explained, together with benthic particulate organic matter (BPOM), SI, depth, and velocity, 70.90% of variability in LSR variance (R2adj = 0.69), HSR alone accounting for 58.95% in LSR variance (R2adj = 0.59).In both the annual cycle and in given seasons, HSR strongly positively correlated with the minimum, maximum, and mean LSR values, and there was no saturation of the rivers by chironomid species, i.e. other chironomid species were still able to inhabit the rivers beside the present ones. HSR did not correlate with beta diversity when measured by two widely used setwise beta diversity indices, or by three pairwise beta diversity indices. The exception was in autumn, where one setwise and two pairwise beta diversity measures correlated with both alpha and gamma diversity measures, which suggests a greater stability of larval chironomid assemblages in that season. This larval stability was not associated with greater stability of environmental factors in autumn, hence the stability seems to be related to undisclosed biotic mechanisms.Seasonality was also a strong factor in predicting the exchange of species. Turnover index between seasons ranged from 0.133 (spring vs summer) to 0.261 (autumn vs winter) and UPGMA clustering determined least chironomid similarity between winter and other seasons. |
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