Circadian dynamics of grass stand invertebrate communities exposed to emissions from the Middle Ural Copper Smelter

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The study investigated the circadian dynamics of the invertebrate communities in the meadow grass stands along the pollution gradient of the Middle Ural Copper Smelter (the main pollutants are SO2 and heavy metals). In the most polluted area, the abundance of invertebrates in the upper part of the grass stand increases in the second half of the day, both in total (1.9 times) and in the groups of herbivores, both sucking (3.2 times) and chewing (2.2 times). This leads to a significant decrease in the similarity of the shape of the curves of circadian dynamics in the background and most polluted areas. In the other trophic groups considered, circadian changes are less pronounced. The obtained results confirm the hypothesis about modification of circadian dynamics of grass stand invertebrates under industrial pollution. The most probable reasons for the changes are general degradation of invertebrate habitat, destabilization of temperature regime in it, as well as changes in the composition and structure of invertebrate communities themselves.

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作者简介

A. Nesterkov

Institute of Plant and Animal Ecology, Ural Branch, Russian Academy of Sciences

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Email: nesterkov@ipae.uran.ru
俄罗斯联邦, 620144 Yekaterinburg

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2. Fig. 1. Daily dynamics of total abundance (a) and distribution of SBD index values ​​when comparing pairs of pollution zones (b) in grass invertebrate communities: a – means and boundaries of the 95% confidence interval, accounting unit – 3 sample plots × 3 rounds of counts (n = 9); b – median, quartiles and outliers; accounting unit – 9 comparisons between sample plots in a counting round × 4 comparisons between counting days (counters) in a round × 3 rounds of counts (n = 108).

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3. Fig. 2. Daily dynamics of the main trophic groups in the communities of grass invertebrates: a – sucking phytophages, b – gnawing phytophages, c – sucking zoophages, d – gnawing zoophages. The averages and the boundaries of the 95% confidence interval are given, the accounting unit is 3 sample plots × 3 rounds of counts (n = 9).

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4. Fig. 3. Daily dynamics of air temperature in different pollution zones: a – above the grass stand, b – in the grass stand, c – near the soil level. The averages and the boundaries of the 95% confidence interval are given, the accounting unit is a sample plot (n = 3).

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