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Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model
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 t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038996/ https://www.ncbi.nlm.nih.gov/pubmed/36964182 http://dx.doi.org/10.1038/s41598-023-29678-7 |
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author | Zhang, Yan-Fang Chen, Shu-Tong Gao, Yun Yang, Long Yu, Hua |
author_facet | Zhang, Yan-Fang Chen, Shu-Tong Gao, Yun Yang, Long Yu, Hua |
author_sort | Zhang, Yan-Fang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10038996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100389962023-03-26 Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model Zhang, Yan-Fang Chen, Shu-Tong Gao, Yun Yang, Long Yu, Hua Sci Rep Article 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. Nature Publishing Group UK 2023-03-24 /pmc/articles/PMC10038996/ /pubmed/36964182 http://dx.doi.org/10.1038/s41598-023-29678-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Yan-Fang Chen, Shu-Tong Gao, Yun Yang, Long Yu, Hua Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model |
title | Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model |
title_full | Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model |
title_fullStr | Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model |
title_full_unstemmed | Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model |
title_short | Prediction of global potential suitable habitats of Nicotiana alata Link et Otto based on MaxEnt model |
title_sort | prediction of global potential suitable habitats of nicotiana alata link et otto based on maxent model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038996/ https://www.ncbi.nlm.nih.gov/pubmed/36964182 http://dx.doi.org/10.1038/s41598-023-29678-7 |
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