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      Diversity of Collembola under various types of anthropogenic load on ecosystems of European part of Russia

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          Abstract

          Background

          Despite the key role played by soil organisms in the functioning of terrestrial ecosystems and provisioning of ecosystem services ( Barrios 2007, Bardgett and Putten 2014), available open data on soil biodiversity are incongruously scarce ( Eisenhauer 2017, Cameron 2018). This is especially true for Russia, but contrasts long traditions of soil zoological research and large volumes of data that were collected during the second half of the 20 th century for the territory of the former USSR. Last year, 41,928 georeferenced occurrences of soil-dwelling arthropods Collembola were digitised and published through GBIF.org. This work continues these activities. The article combines descriptions of three new sampling-event datasets about the various types of anthropogenic load on the diversity and the abundance of Collembola , small arthropods involved in the destruction of organic residues in the soil:

          1. Collembola of winter wheat fields in the Kaluga Region: conservation treatment versus conventional one ( Kuznetsova et al. 2020). The following variants were studied: 1) treatment with organic fertilisers and tillage, without mineral fertilisers and pesticides, 2) the same, but without tillage, only discing; 3) with mineral fertilisers, pesticides and tillage. Special multi-scale sampling design was used. The material was collected on 24-26 July 2019 in Kaluga Region, European part of Russia. Data on 2226 records on 7302 specimens of 32 species in six fields in 486 soil cores are presented.

          2. Collembola of broadleaved forests along gradient of urbanisation in Moscow ( Kuznetsova and Ageeva 2020). Sampling plots were placed in oak and lime forests located at different distances from the centre of Moscow. The material was collected in different seasons of 1990–1991. Data on 1737 records on 6873 specimens of 64 species (17 series of sampling, 720 soil cores) are presented.

          3. Collembola in clear cutting areas of Arkhangelsk Region: spatial and temporal series of the data ( Kuznetsova and Klyueva 2020). Sampling plots were in birch forests of different ages with spruce underbrush and in old spruce forest. The study was carried out in July of 1970–1971 and 1984 in Arkhangelsk Region, European part of Russia. In 1970, cores were taken at sites where the forest was restored 15, 30 and 80 years after clear cuttings, as well as in a 180-year-old spruce forest. In 1984, sampling was repeated in two plots. Data on 1468 records on 18788 specimens of 47 species (seven series of sampling, 720 soil cores) are presented.

          New information

          These datasets contribute to filling gaps in the global biodiversity distribution of the Collembola . All datasets present new information about effects of agricultural treatments, urbanisation and clear cutting on springtail diversity and abundance in ecosystems of the European part of Russia.

          Related collections

          Most cited references 28

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          Testing the assumptions of chronosequences in succession.

          Many introductory ecology textbooks illustrate succession, at least in part, by using certain classic studies (e.g. sand dunes, ponds/bogs, glacial till, and old fields) that substituted space for time (chronosequence) in determining the sequences of the succession. Despite past criticisms of this method, there is continued, often uncritical, use of chronosequences in current research on topics besides succession, including temporal changes in biodiversity, productivity, nutrient cycling, etc. To show the problem with chronosequence-based studies in general, we review evidence from studies that used non-chronosequence methods (such as long-term study of permanent plots, palynology, and stand reconstruction) to test the space-for-time substitution in four classic succession studies. In several cases, the tests have used the same locations and, in one case, the same plots as those in the original studies. We show that empirical evidence invalidates the chronosequence-based sequences inferred in these classic studies.
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            A Comparative Analysis of Soil Fauna Populations and Their Role in Decomposition Processes

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              • Article: not found

              Soil biota, ecosystem services and land productivity

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                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2020
                30 October 2020
                : 8
                Affiliations
                [1 ] Moscow State Pedagogical University, Moscow, Russia Moscow State Pedagogical University Moscow Russia
                [2 ] Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Russia Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences Pushchino Russia
                Author notes
                Corresponding author: Nataliya Kuznetsova ( mpnk@ 123456yandex.ru ).

                Academic editor: Dmitry Schigel

                Article
                58951 14758
                10.3897/BDJ.8.e58951
                7648050
                Nataliya Kuznetsova, Natalya Ivanova

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                Page count
                Figures: 4, Tables: 0, References: 28
                Categories
                Data Paper (Biosciences)
                West of Urals 2020
                Animalia
                Zoology & Animal Biology
                Agriculture and Forestry
                Ecology & Environmental sciences
                Cenozoic
                Europe

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