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      Identifying priority core habitats and corridors for effective conservation of brown bears in Iran

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          Abstract

          Iran lies at the southernmost range limit of brown bears globally. Therefore, understanding the habitat associations and patterns of population connectivity for brown bears in Iran is relevant for the species’ conservation. We applied species distribution modeling to predict habitat suitability and connectivity modeling to identify population core areas and corridors. Our results showed that forest density, topographical roughness, NDVI and human footprint were the most influential variables in predicting brown bear distribution. The most crucial core areas and corridor networks for brown bear are concentrated in the Alborz and Zagros Mountains. These two core areas were predicted to be fragmented into a total of fifteen isolated patches if dispersal of brown bear across the landscape is limited to 50,000 cost units, and aggregates into two isolated habitat patches if the species is capable of dispersing 400,000 cost units. We found low overlap between corridors, and core habitats with protected areas, suggesting that the existing protected area network may not be adequate for the conservation of brown bear in Iran. Our results suggest that effective conservation of brown bears in Iran requires protection of both core habitats and the corridors between them, especially outside Iran’s network of protected areas.

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                Author and article information

                Contributors
                armohammadi1989@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 January 2021
                13 January 2021
                2021
                : 11
                : 1044
                Affiliations
                [1 ]Department of Environmental Science and Engineering, Faculty of Natural Resources, University of Jiroft, Jiroft, Iran
                [2 ]Department of Nature Engineering, Agricultural Sciences, Natural Resources University of Khuzestan, Mollasani, Iran
                [3 ]GRID grid.46072.37, ISNI 0000 0004 0612 7950, Department of Environmental Sciences, Faculty of Natural Resources, , University of Tehran, ; Karaj, Iran
                [4 ]College of Environment, Karaj, Iran
                [5 ]Khorasan-E Razavi Provincial Office of the Department of the Environment, Mashhad, Iran
                [6 ]Research Unit of Biodiversity (UMIB, CSIC/UO/PA), 33600 Mieres, Spain
                [7 ]GRID grid.472551.0, ISNI 0000 0004 0404 3120, USDA Forest Service Rocky Mountain Research Station, ; 2500 S. Pine Knoll, Flagstaff, AZ USA
                Article
                79970
                10.1038/s41598-020-79970-z
                7806652
                33441776
                482054f8-6f0c-406d-b48e-310d9d16bbfc
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 October 2020
                : 15 December 2020
                Funding
                Funded by: Ramon
                Funded by: GRUPIN research grant from the Regional Government of Asturias
                Award ID: IDI/2018/000151
                Award Recipient :
                Funded by: the Excellence Project CGL2017-82782-P financed by the Spanish Ministry of Science, Innovation and Universities, the Agencia Estatal de Investigación (AEI) and the Fondo Europeo de Desarrollo Regional (FEDER, EU)
                Award ID: CGL2017-82782-P
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                conservation biology,ecological modelling
                Uncategorized
                conservation biology, ecological modelling

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