Distribution Pattern of Endangered Cycas taiwaniana Carruth. in China Under Climate-Change Scenarios Using the MaxEnt Model

Understanding the potential distribution patterns and habitat suitability of threatened species under climate change scenarios is essential for conservation efforts. This study aimed to assess the current and future distribution patterns of the endangered <i>Cycas taiwaniana</i> in China using the MaxEnt model under two contrasting climate change scenarios: SSP1-2.6 (low emissions) and SSP3-7.0 (high emissions), projected for the 2050s and 2070s periods. The model identified key bioclimatic variables influencing habitat suitability, including Annual Mean Temperature, Mean Diurnal Range, and Temperature Seasonality. Under current climate conditions, the species' most suitable habitats are primarily located in southern coastal regions, with Hainan Island showing exceptional suitability. However, future projections under the moderate emission (SSP1-2.6) scenario suggest a significant shrinking of suitable habitat areas, particularly a 27.5% decline in excellent and a 35% decrease in good categories by the 2070s. In contrast, under the high-emission scenario (SSP3-7.0), while an initial decline in suitable habitats is projected, the model predicts an unexpected expansion of highly suitable areas by 2070, particularly in Guangxi, Guangdong, and Fujian coastal regions. The results highlight the vulnerability of <i>C. taiwaniana</i> to climate change and underscore the importance of developing adaptive conservation strategies to mitigate potential habitat loss. The findings also emphasize the need for further research on species-specific responses to climate change and the development of proactive measures to safeguard the future distribution of this threatened species.

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Publication Details

Journal
Plants
Published
2025-05-24
DOI
https://doi.org/10.3390/plants14111600
Citations
7
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
12.87

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article

Distribution Pattern of Endangered Cycas taiwaniana Carruth. in China Under Climate-Change Scenarios Using the MaxEnt Model

Chunping Xie, C.Y. Jim, Ruonan Chen, Meng Li
7 citations
Plants
Species Distribution and Climate Change
12.87
article

Distribution Pattern of Endangered Cycas taiwaniana Carruth. in China Under Climate-Change Scenarios Using the MaxEnt Model

Chunping Xie, C.Y. Jim, Ruonan Chen, Meng Li
article en
7 citations

Abstract

Understanding the potential distribution patterns and habitat suitability of threatened species under climate change scenarios is essential for conservation efforts. This study aimed to assess the current and future distribution patterns of the endangered <i>Cycas taiwaniana</i> in China using the MaxEnt model under two contrasting climate change scenarios: SSP1-2.6 (low emissions) and SSP3-7.0 (high emissions), projected for the 2050s and 2070s periods. The model identified key bioclimatic variables influencing habitat suitability, including Annual Mean Temperature, Mean Diurnal Range, and Temperature Seasonality. Under current climate conditions, the species' most suitable habitats are primarily located in southern coastal regions, with Hainan Island showing exceptional suitability. However, future projections under the moderate emission (SSP1-2.6) scenario suggest a significant shrinking of suitable habitat areas, particularly a 27.5% decline in excellent and a 35% decrease in good categories by the 2070s. In contrast, under the high-emission scenario (SSP3-7.0), while an initial decline in suitable habitats is projected, the model predicts an unexpected expansion of highly suitable areas by 2070, particularly in Guangxi, Guangdong, and Fujian coastal regions. The results highlight the vulnerability of <i>C. taiwaniana</i> to climate change and underscore the importance of developing adaptive conservation strategies to mitigate potential habitat loss. The findings also emphasize the need for further research on species-specific responses to climate change and the development of proactive measures to safeguard the future distribution of this threatened species.

PlantsVol. 14(11)
Nanjing Forestry University (CN), Education University of Hong Kong (HK), Qiongtai Teachers College (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hainan Province
Climate action
Openalex Percentile: Top 1%
Species Distribution and Climate Change
12.87
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