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Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change
The Fritillaria species ranked as a well-known traditional medicine in China and has become rare due to excessive harvesting. To find reasonable strategy for conservation and cultivation, identification of new ecological distribution of Fritillaria species together with prediction of those responses...
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/PMC10620159/ https://www.ncbi.nlm.nih.gov/pubmed/37914761 http://dx.doi.org/10.1038/s41598-023-45887-6 |
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author | Huang, Deya An, Qiuju Huang, Sipei Tan, Guodong Quan, Huige Chen, Yineng Zhou, Jiayu Liao, Hai |
author_facet | Huang, Deya An, Qiuju Huang, Sipei Tan, Guodong Quan, Huige Chen, Yineng Zhou, Jiayu Liao, Hai |
author_sort | Huang, Deya |
collection | PubMed |
description | The Fritillaria species ranked as a well-known traditional medicine in China and has become rare due to excessive harvesting. To find reasonable strategy for conservation and cultivation, identification of new ecological distribution of Fritillaria species together with prediction of those responses to climate change are necessary. In terms of current occurrence records and bioclimatic variables, the suitable habitats for Fritillaria delavayi, Fritillaria taipaiensis, and Fritillaria wabuensis were predicted. In comparison with Maxent and GARP, Biomod2 obtained the best AUC, KAPPA and TSS values of larger than 0.926 and was chosen to construct model. Temperature seasonality was indicated to put the greatest influence on Fritillaria taipaiensis and Fritillaria wabuensis, while isothermality was of most importance for Fritillaria delavayi. The current suitable areas for three Fritillaria species were distributed in south-west China, accounting for approximately 17.72%, 23.06% and 20.60% of China's total area, respectively. During 2021–2100 period, the suitable habitats of F. delavayi and F. wabuensis reached the maximum under SSP585 scenario, while that of F. taipaiensis reached the maximum under SSP126 scenario. The high niche overlap among three Fritillaria species showed correlation with the chemical composition (P ≤ 0.05), while no correlation was observed between niche overlap and DNA barcodes, indicating that spatial distribution had a major influence on chemical composition in the Fritillaria species. Finally, the acquisition of species-specific habitats would contribute to decrease in habitat competition, and future conservation and cultivation of Fritillaria species. |
format | Online Article Text |
id | pubmed-10620159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106201592023-11-03 Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change Huang, Deya An, Qiuju Huang, Sipei Tan, Guodong Quan, Huige Chen, Yineng Zhou, Jiayu Liao, Hai Sci Rep Article The Fritillaria species ranked as a well-known traditional medicine in China and has become rare due to excessive harvesting. To find reasonable strategy for conservation and cultivation, identification of new ecological distribution of Fritillaria species together with prediction of those responses to climate change are necessary. In terms of current occurrence records and bioclimatic variables, the suitable habitats for Fritillaria delavayi, Fritillaria taipaiensis, and Fritillaria wabuensis were predicted. In comparison with Maxent and GARP, Biomod2 obtained the best AUC, KAPPA and TSS values of larger than 0.926 and was chosen to construct model. Temperature seasonality was indicated to put the greatest influence on Fritillaria taipaiensis and Fritillaria wabuensis, while isothermality was of most importance for Fritillaria delavayi. The current suitable areas for three Fritillaria species were distributed in south-west China, accounting for approximately 17.72%, 23.06% and 20.60% of China's total area, respectively. During 2021–2100 period, the suitable habitats of F. delavayi and F. wabuensis reached the maximum under SSP585 scenario, while that of F. taipaiensis reached the maximum under SSP126 scenario. The high niche overlap among three Fritillaria species showed correlation with the chemical composition (P ≤ 0.05), while no correlation was observed between niche overlap and DNA barcodes, indicating that spatial distribution had a major influence on chemical composition in the Fritillaria species. Finally, the acquisition of species-specific habitats would contribute to decrease in habitat competition, and future conservation and cultivation of Fritillaria species. Nature Publishing Group UK 2023-11-01 /pmc/articles/PMC10620159/ /pubmed/37914761 http://dx.doi.org/10.1038/s41598-023-45887-6 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 Huang, Deya An, Qiuju Huang, Sipei Tan, Guodong Quan, Huige Chen, Yineng Zhou, Jiayu Liao, Hai Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change |
title | Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change |
title_full | Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change |
title_fullStr | Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change |
title_full_unstemmed | Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change |
title_short | Biomod2 modeling for predicting the potential ecological distribution of three Fritillaria species under climate change |
title_sort | biomod2 modeling for predicting the potential ecological distribution of three fritillaria species under climate change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620159/ https://www.ncbi.nlm.nih.gov/pubmed/37914761 http://dx.doi.org/10.1038/s41598-023-45887-6 |
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