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      Prediction of present and future distribution areas of Juniperus drupacea Labill and determination of ethnobotany properties in Antalya Province, Türkiye

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          Abstract

          Ethnobotanical studies revealed the experience and knowledge of people who learned the therapeutic virtues of plants through trials and errors and transferred their knowledge to the next generations. This study determined the ethnobotanical use of Juniperus drupacea (Andiz) in the Antalya province and the current and future potential distribution areas of J. drupacea in Türkiye during 2041–2060 and 2081–2100 according to the SSP2-4.5 and SSP5-8.5 scenarios and based on the IPSL-CM6A-LR climate change model. The very suitable areas encompassed 22379.7 km 2. However, when the SSP2-4.5 scenario was considered, the areas most suitable for J. drupacea comprised 6215.892 km 2 for 2041–2060 and 378.318 km 2 for 2081–2100. Based on the SSP5-8.5 scenario, the area most suitable for J. drupacea was 979.082 km 2 for 2041–2060. However, no suitable areas were identified with the SSP5-8.5 scenario for 2081–2100. Considering the models for the future estimated distribution areas of J. drupacea, serious contractions endangering the species are predicted in its distribution areas. Therefore, scientific research should focus on identifying J. drupacea populations and genotypes that demonstrate resilience to future drought conditions resulting from climate change. This endeavor is crucial as it holds significant ecological and economic values.

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          A statistical explanation of MaxEnt for ecologists

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            Climate change threats to plant diversity in Europe.

            Climate change has already triggered species distribution shifts in many parts of the world. Increasing impacts are expected for the future, yet few studies have aimed for a general understanding of the regional basis for species vulnerability. We projected late 21st century distributions for 1,350 European plants species under seven climate change scenarios. Application of the International Union for Conservation of Nature and Natural Resources Red List criteria to our projections shows that many European plant species could become severely threatened. More than half of the species we studied could be vulnerable or threatened by 2080. Expected species loss and turnover per pixel proved to be highly variable across scenarios (27-42% and 45-63% respectively, averaged over Europe) and across regions (2.5-86% and 17-86%, averaged over scenarios). Modeled species loss and turnover were found to depend strongly on the degree of change in just two climate variables describing temperature and moisture conditions. Despite the coarse scale of the analysis, species from mountains could be seen to be disproportionably sensitive to climate change (approximately 60% species loss). The boreal region was projected to lose few species, although gaining many others from immigration. The greatest changes are expected in the transition between the Mediterranean and Euro-Siberian regions. We found that risks of extinction for European plants may be large, even in moderate scenarios of climate change and despite inter-model variability.
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              Maxent modeling for predicting the potential distribution of endangered medicinal plant (H. riparia Lour) in Yunnan, China

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                Author and article information

                Contributors
                Journal
                Open Life Sci
                Open Life Sci
                biol
                Open Life Sciences
                De Gruyter
                2391-5412
                18 June 2024
                2024
                : 19
                : 1
                : 20220883
                Affiliations
                Akseki Vocational School, Alanya Alaaddin Keykubat University , Antalya, Turkey
                Faculty of Forestry, Bursa Technical University , Bursa, Turkey
                Faculty of Forestry, Isparta University of Applied Sciences , Isparta, Turkey
                Article
                biol-2022-0883
                10.1515/biol-2022-0883
                11193391
                38911932
                8c793c1d-3109-44cc-85d5-977c1ca6ac0d
                © 2024 the author(s), published by De Gruyter

                This work is licensed under the Creative Commons Attribution 4.0 International License.

                History
                : 07 January 2024
                : 18 April 2024
                : 08 May 2024
                Page count
                Pages: 11
                Categories
                Research Article

                andiz (juniperus drupacea),andiz molasses,climate change,ethnobotany,maximum entropy

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