Bergman Igor, Nesterkov Alexey
Institute of plant and animal ecology, UB RAS, Ekaterinburg, Russia Institute of plant and animal ecology, UB RAS Ekaterinburg Russia.
Biodivers Data J. 2021 Nov 29;9:e75510. doi: 10.3897/BDJ.9.e75510. eCollection 2021.
Since the mid-2000s, long-term monitoring of various components of natural ecosystems under conditions of industrial pollution has been carried out in the Southern Urals. As a part of these monitoring programmes, the data on various components of biota in different biotopes, collected with different methods and in different time intervals, continue to be gathered. In addition, data collected through these monitoring programmes can also be used to study the local biodiversity of non-polluted areas.In 2012, in the vicinity of the Karabash Copper Smelter, a study of communities of small mammals was carried out, considering the heterogeneity of their habitats. Within the framework of this project, we presented a detailed description of the state of woody vegetation in the study area.
The dataset (available from the GBIF network at https://www.gbif.org/dataset/61384edd-2d0a-437b-8cf0-ff4d2dfcc0da) includes the results of an assessment of the woody vegetation biomass at seven habitats (pine, birch and floodplain forests, reed swamp, sparse birch stand, marshy meadow and dump of household waste) of areas with different levels of industrial pollution in the vicinities of the Karabash, the Southern Urals. Karabash Copper Smelter (KCS) is one of Russia's most significant point polluters; the main components of its emissions are heavy metals, dust and sulphur dioxide. Parameters of woody vegetation (diameter at breast height, diameter at root collar level and biomass) were estimated for seven forest elements (forest stand, subcanopy (undergrowth and underwood), half-dead tree of a forest stand and four types of coarse woody debris (downed bole, fragment of downed bole, standing dead tree and stump)) at 41 sampling plots (20 at unpolluted and 21 at polluted areas) and 165 subplots (81 and 84, respectively). The dataset includes 411 sampling events (estimation events of the forest elements at sampling plots and subplots), corresponding to 5786 occurrences (estimations of the woody vegetation components) observed during July 2012. For most woody vegetation components (72%), an estimate of the above-ground phytomass is given. For each sampling event, information on the presence or absence of woody vegetation species at the considered habitats is provided (a total of 1479 occurrences with status "absent"). The dataset can be used for environmental monitoring, sustainable forest management, modelling forest productivity considering global changes, studying the structure and biodiversity of forest cover and assessing forests' carbon-sequestration capacity. In addition, the dataset provides information about different forest ecosystems under the influence of strong industrial pollution.
自21世纪中叶以来，南乌拉尔地区一直在对受工业污染影响的自然生态系统的各个组成部分进行长期监测。作为这些监测计划的一部分，通过不同方法、在不同时间间隔收集的不同生物群落中生物群各组成部分的数据仍在持续积累。此外，通过这些监测计划收集的数据还可用于研究未受污染地区的当地生物多样性。2012年，在卡拉巴赫铜冶炼厂附近，考虑到小型哺乳动物栖息地的异质性，开展了对小型哺乳动物群落的研究。在该项目框架内，我们对研究区域内木本植被的状况进行了详细描述。
