ENCHYTRAEID COMMUNITIES OF BIRCH FORESTS IN VICINITIES OF THE MIDDLE URAL COPPER SMELTER

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Enchytraeid communities were studied in the upper soil of birch forests in areas within the pollution gradient of emissions from the Middle Ural Copper Smelter. In the unpolluted area, 17 species were identified (6 to 13 in different sample plots); the average density was 13 666- 44 903 ind./m², and the average (raw) biomass was 1 357- 3 699 mg/m². Near the smelter, the population density, biomass, and species richness were reduced by 80, 20, and 2.4 times, respectively. However, the communities structure of diversity changed insignificantly, and the diversity of enchytraeids in the impact zone is potentially comparable to the one of the background zone. In the background zone, the highest density and biomass values were concentrated in the upper layer (0- 2 cm) of the soil, corresponding to the forest litter (61 and 63%, respectively). In the impact zone, the vertical distribution of enchytraeids was different: density (59%) and biomass (61%) were redistributed to the underlying (2.1- 4 cm) layer (corresponding to bottom layer of the litter) containing the highest concentrations of metals. Changes in vertical distribution of enchytraeids are not expected to be related to pollution effects.

About the authors

A. V. Nesterkov

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

Email: nesterkov@ipae.uran.ru
Yekaterinburg, Russia

M. I. Degtyarev

A.N. Severtov Institute of Ecology and Evolution, Russian Academy of Sciences

Email: degtyarevmi@gmail.com
Moscow, Russia

D. V. Nesterkova

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

Author for correspondence.
Email: nesterkov@ipae.uran.ru
Yekaterinburg, Russia

References

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2025 Russian Academy of Sciences

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).