Forecasting climate change effects on the potential distribution of Zhumeria Majdae as an endangered monotypic endemic species: a maxent modeling approach.

IF 2.6 Q2 ECOLOGY
Naser Hosseini, Ahmadreza Mehrabian, Farzaneh Khajoei Nasab, Hossein Mostafavi, Mansour Ghorbanpour
{"title":"Forecasting climate change effects on the potential distribution of Zhumeria Majdae as an endangered monotypic endemic species: a maxent modeling approach.","authors":"Naser Hosseini, Ahmadreza Mehrabian, Farzaneh Khajoei Nasab, Hossein Mostafavi, Mansour Ghorbanpour","doi":"10.1186/s12862-025-02431-6","DOIUrl":null,"url":null,"abstract":"<p><p>Medicinal plants are invaluable sources of bioactive compounds and continue to serve as primary medicine for many people worldwide, despite advances in pharmaceuticals. Their recognition has increased with the popularity of herbal products, yet many are vanishing rapidly. Climate change further threatens these resources, making their conservation a pressing concern. This study aimed to evaluate current range and the potential impact of climate change on the future distribution of Zhumeria majdae, an endangered and endemic medicinal species in Iran, and to identify priority areas for its conservation. Using 56 occurrence records and 7 environmental variables, the MaxEnt model was employed to project current and future habitat suitability under two climate scenarios (RCP 4.5 and RCP 8.5) for the 2050s and 2070s. The model performed excellently (AUC = 0.977, TSS = 0.807 ). Among the variables used, solar radiation contributed the most (26%), followed by slope (12%), pH index (2.5%), Bio6 (1.1%), Bio19 (26.3%), Bio10 (0.7%), and Bio18 (31.3%). The results predicted suitable range in Hormozgan, South of Kerman and Fars provinces. Also, modeling projected a notable shift in the geographic distribution of Z. majdae under climate change scenarios. The suitable habitat is projected to expand by 20.12% under RCP 4.5 and by 29.95% under RCP 8.5 in the 2050s. In the 2070s, an increase of 21.63% is expected under RCP 4.5, while a slight contraction of 1.15% is projected under RCP 8.5. Based on these findings, it is recommended to prioritize conservation efforts in areas projected to remain suitable in both current and future climates. Establishing in-situe and ex-situ conservation sites, introduce protected areas in new habitat projected, and initiating habitat restoration in emerging suitable zones could enhance the species' long-term survival prospects.</p>","PeriodicalId":93910,"journal":{"name":"BMC ecology and evolution","volume":"25 1","pages":"85"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12379370/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC ecology and evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12862-025-02431-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Medicinal plants are invaluable sources of bioactive compounds and continue to serve as primary medicine for many people worldwide, despite advances in pharmaceuticals. Their recognition has increased with the popularity of herbal products, yet many are vanishing rapidly. Climate change further threatens these resources, making their conservation a pressing concern. This study aimed to evaluate current range and the potential impact of climate change on the future distribution of Zhumeria majdae, an endangered and endemic medicinal species in Iran, and to identify priority areas for its conservation. Using 56 occurrence records and 7 environmental variables, the MaxEnt model was employed to project current and future habitat suitability under two climate scenarios (RCP 4.5 and RCP 8.5) for the 2050s and 2070s. The model performed excellently (AUC = 0.977, TSS = 0.807 ). Among the variables used, solar radiation contributed the most (26%), followed by slope (12%), pH index (2.5%), Bio6 (1.1%), Bio19 (26.3%), Bio10 (0.7%), and Bio18 (31.3%). The results predicted suitable range in Hormozgan, South of Kerman and Fars provinces. Also, modeling projected a notable shift in the geographic distribution of Z. majdae under climate change scenarios. The suitable habitat is projected to expand by 20.12% under RCP 4.5 and by 29.95% under RCP 8.5 in the 2050s. In the 2070s, an increase of 21.63% is expected under RCP 4.5, while a slight contraction of 1.15% is projected under RCP 8.5. Based on these findings, it is recommended to prioritize conservation efforts in areas projected to remain suitable in both current and future climates. Establishing in-situe and ex-situ conservation sites, introduce protected areas in new habitat projected, and initiating habitat restoration in emerging suitable zones could enhance the species' long-term survival prospects.

预测气候变化对一种濒危单型特有种——麻竹属潜在分布的影响:一种maxent建模方法。
药用植物是生物活性化合物的宝贵来源,尽管制药取得了进步,但它们仍然是世界上许多人的主要药物。随着草药产品的普及,它们的认知度越来越高,但许多正在迅速消失。气候变化进一步威胁着这些资源,使它们的保护成为一个紧迫的问题。本研究旨在评估伊朗特有濒危药用植物朱墨里亚(Zhumeria majdae)的分布范围和气候变化对其未来分布的潜在影响,并确定其优先保护区域。利用56个事件记录和7个环境变量,利用MaxEnt模型预测了2050年代和2070年代两种气候情景(RCP 4.5和RCP 8.5)下的当前和未来栖息地适宜性。模型运行良好(AUC = 0.977, TSS = 0.807)。所使用的变量中,太阳辐射贡献最大(26%),其次是坡度(12%)、pH指数(2.5%)、Bio6(1.1%)、Bio19(26.3%)、Bio10(0.7%)和Bio18(31.3%)。结果预测了霍尔木兹甘省、克尔曼省南部和法尔斯省的适宜范围。此外,模拟结果还表明,在气候变化情景下,马氏竹的地理分布发生了显著变化。预计到2050年代,在RCP 4.5和8.5条件下,适宜生境将分别扩大20.12%和29.95%。在21世纪70年代,在RCP 4.5下预计将增长21.63%,而在RCP 8.5下预计将略微收缩1.15%。基于这些发现,建议在预计在当前和未来气候下仍然适合的地区优先进行保护工作。建立原地和移地保护地点,在新规划的栖息地引入保护区,在新出现的适宜区启动栖息地恢复,可以提高物种的长期生存前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信