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      Protecting isolated reptile populations outside their main area of distribution: a predictive model of the Dice snake, Natrixtessellata, distribution in the Czech Republic

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          Abstract

          Marginal populations of animals are highly susceptible to environmental pressures associated with climatic changes. Understanding their distribution and ecological requirements is, thus, essential for the development of efficient conservation strategies. The dice snake, Natrix tessellata , is listed as critically endangered in the Czech Republic. In certain regions (Bohemia and Silesia), its populations are located beyond the northern border of the continuous range of the species, while the south Moravian populations are connected to it. Based on the statewide database of the Czech Nature Conservation Agency, we created a predictive model and determined key factors influencing the species distribution. The most relevant factors were: watercourses and bodies, average annual temperatures, altitude, slope inclination and precipitation seasonality. The model fits the presence records well and is applicable in both theory and practice of the species conservation – for example, focusing faunistic research to certain areas, critical analysis of controversial presence reports and as an input for species management in the form of repatriation and introduction.

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          Most cited references54

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          Very high resolution interpolated climate surfaces for global land areas

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            Novel methods improve prediction of species’ distributions from occurrence data

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              A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter

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                Author and article information

                Contributors
                Role: MethodologyRole: Resources
                Role: Resources
                Role: Data curation
                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
                2023
                28 December 2023
                : 11
                : e114790
                Affiliations
                [1 ] Department of Zoology, Faculty of Science, Charles University, Viničná 7, Prague, Czech Republic Department of Zoology, Faculty of Science, Charles University, Viničná 7 Prague Czech Republic
                [2 ] Department of Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Prague, Czech Republic Department of Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129 Prague Czech Republic
                [3 ] Mining Museum Příbram, Hynka Kličky 293, Příbram, Czech Republic Mining Museum Příbram, Hynka Kličky 293 Příbram Czech Republic
                [4 ] Nature Conservation Agency of the Czech Republic, Kaplanova 1931/1, Prague, Czech Republic Nature Conservation Agency of the Czech Republic, Kaplanova 1931/1 Prague Czech Republic
                [5 ] Prague Zoo, Prague, Czech Republic Prague Zoo Prague Czech Republic
                Author notes
                Corresponding author: Jan Chmelař ( jan.chmelar@ 123456cizp.cz ).

                Academic editor: Franco Andreone

                Author information
                https://orcid.org/0009-0002-1420-5181
                https://orcid.org/0000-0001-7638-9591
                https://orcid.org/0000-0002-5251-3022
                Article
                114790 23709
                10.3897/BDJ.11.e114790
                10767748
                bb915909-7779-458a-8093-afb94222ca46
                Jan Chmelař, Petr Civiš, David Fischer, Daniel Frynta, Lenka Jeřábková, Veronika Rudolfová, Ivan Rehák

                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.

                History
                : 26 October 2023
                : 14 December 2023
                Page count
                Figures: 10, Tables: 1, References: 56
                Categories
                Research Article

                conservation,monitoring,species management,river phenomenon

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