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<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 <i>Zhumeria majdae</i>, 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 <i>Z. majdae</i> 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>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月26日

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  • Naser Hosseini,
  • Ahmadreza Mehrabian,
  • Farzaneh Khajoei Nasab,
  • Hossein Mostafavi,
  • Mansour Ghorbanpour

摘要

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.