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      Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model

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      , , , ,
      Scientific Reports
      Nature Publishing Group UK
      Ecology, Climate sciences, Ecology

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          Abstract

          Nicotiana alata Link et Otto, widely used in landscaping, is not only of great ornamental value but also of high commercial and medical value. The global potential habitat of N. alata and the environmental factors affecting its distribution are not that clear at present. To provide a reference for the reasonable and extensive planting of N. alata now and in the future, the MaxEnt model was used to predict its global suitable habitats under current and future climate conditions, respectively, based on global geographic distribution data of N. alata and the current and future world bioclimatic variables. The results showed that mean temperature of the driest quarter (bio9), precipitation of driest month (bio14), precipitation seasonality (bio15) and max temperature of warmest month (bio5), were the key bioclimatic variables governing the distribution of N. alata. The global suitable habitats of N. alata were mainly distributed in Europe, the United States, southeastern South America, and China under current climate conditions. Compared with current climate conditions, the future climate decreased suitable habitats of N. alata under SSP1-2.6, and SSP2-4.5 scenario and increased suitable habitats of N. alata under SSP3-7.0, and SSP5-8.5 climatic scenarios. The results provided valuable information and theoretical reference for the reasonable planting of N. alata.

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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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            Opening the black box: an open-source release of Maxent

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                Author and article information

                Contributors
                lyang@sdau.edu.cn
                yuh@sdau.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                24 March 2023
                24 March 2023
                2023
                : 13
                : 4851
                Affiliations
                GRID grid.440622.6, ISNI 0000 0000 9482 4676, College of Plant Protection, , Shandong Agricultural University, ; Tai’an, 271018 China
                Article
                29678
                10.1038/s41598-023-29678-7
                10038996
                36964182
                14c1dc1d-27e4-4e69-a850-a69653234aa8
                © The Author(s) 2023

                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
                : 10 November 2022
                : 8 February 2023
                Funding
                Funded by: Natural Science Foundation of Shandong Province
                Award ID: ZR2021QC195
                Award Recipient :
                Categories
                Article
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                © The Author(s) 2023

                Uncategorized
                ecology,climate sciences
                Uncategorized
                ecology, climate sciences

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