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      Edaphostat: interactive ecological analysis of soil organism occurrences and preferences from the Edaphobase data warehouse

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          Abstract

          The Edaphostat web application allows interactive and dynamic analyses of soil organism data stored in the Edaphobase data warehouse. It is part of the Edaphobase web application and can be accessed by any modern browser. The tool combines data from different sources (publications, field studies and museum collections) and allows species preferences along various environmental gradients (i.e. C/N ratio and pH) and classification systems (habitat type and soil type) to be analyzed.

          Database URL: Edaphostat is part of the Edaphobase Web Application available at https://portal.edaphobase.org

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          Most cited references11

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          Species distribution models and ecological theory: A critical assessment and some possible new approaches

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            Continuum theory revisited: what shape are species responses along ecological gradients?

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              Folsomia candida (Collembola): a "standard" soil arthropod.

              Folsomia candida Willem 1902, a member of the order Collembola (colloquially called springtails), is a common and widespread arthropod that occurs in soils throughout the world. The species is parthenogenetic and is easy to maintain in the laboratory on a diet of granulated dry yeast. F. candida has been used as a "standard" test organism for more than 40 years for estimating the effects of pesticides and environmental pollutants on nontarget soil arthropods. However, it has also been employed as a model for the investigation of numerous other phenomena such as cold tolerance, quality as a prey item, and effects of microarthropod grazing on pathogenic fungi and mycorrhizae of plant roots. In this comprehensive review, aspects of the life history, ecology, and ecotoxicology of F. candida are covered. We focus on the recent literature, especially studies that have examined the effects of soil pollutants on reproduction in F. candida using the protocol published by the International Standards Organization in 1999.
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                Author and article information

                Journal
                Database (Oxford)
                Database (Oxford)
                databa
                Database: The Journal of Biological Databases and Curation
                Oxford University Press
                1758-0463
                2017
                24 October 2017
                24 October 2017
                : 2017
                : bax080
                Affiliations
                [1 ]Institute for Environmental Research, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany
                [2 ]Senckenberg Museum of Natural History Görlitz, P.O. Box 300154, 02806 Görlitz, Germany
                Author notes
                [* ] Corresponding author: Tel: +49 241 8027262; Fax: +49 241 8022182; Email: jhausen@ 123456bio5.rwth-aachen.de
                [†]

                Citation details: Hausen,J., Scholz-Starke,B., Burkhardt,U. et al. Edaphostat: interactive ecological analysis of soil organism occurrences and preferences from the Edaphobase data warehouse. Database (2017) Vol. 2017: article ID bax080; doi:10.1093/database/bax080

                Author information
                http://orcid.org/0000-0003-1264-5802
                Article
                bax080
                10.1093/database/bax080
                5737075
                29220469
                591ffad2-ff64-4360-b9a4-af62a90fc9f2
                © The Author(s) 2017. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 2 June 2017
                : 13 September 2017
                : 6 October 2017
                Page count
                Pages: 6
                Funding
                Funded by: Bundesministerium für Bildung und Forschung 10.13039/501100002347
                Award ID: 01LI1301
                Categories
                Technical Report

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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