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<p>Coptis chinensis Franch., C. deltoidea C.Y.Cheng &amp; P.K.Hsiao, and C. teeta Wall. constitute critically important medicinal resources in traditional Chinese medicine, with a documented history of use for more than 2000 years. However, largely due to overharvesting, the wild resources of these species have become increasingly scarce. Identifying the key environmental variables governing their distribution is therefore necessary for their sustainable utilization and preservation. In this study, the key environmental variables influencing the distribution of three Coptis species were identified through correlation analysis and contribution rates. Then, the maximum entropy (MaxEnt) and Random Forest (RF) models were employed to integrate species occurrence records along with the refined environmental variables. It was found that precipitation and temperature predominantly shaped the distribution of C. chinensis and C. deltoidea, while elevation and temperature were crucial for C. teeta. Currently, the moderately and highly suitable habitats of C. chinensis, C. deltoidea and C. teeta accounted for 14.59%, 10.84%, and 6.82% of the land area of China, respectively. The total suitable habitats of three Coptis species will reach their maximum during the periods 2041–2060, 2081–2100, and 2081–2100 under the high emission (SSP585) scenario, respectively. Expansion was primarily observed in a high-latitude direction, reflecting a potential adaptive response to a warming climate. Intriguingly, a significant correlation was observed between niche overlap and genetic distance (P &lt; 0.05) among three Coptis species, suggesting that spatial distribution might have a role in their speciation and diversification. These findings enhance scientific insights into distribution changes of three Coptis species under future climate change, offering basis for the effective management and conservation strategies.</p>

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Prediction of potential habitats of three Coptis species under climate change provides insights on their resource protection and cultivation across China

  • 期刊论文

  • 发表日期：

    2025年11月27日

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  • Pingping Lu,
  • Jieru Chen,
  • Hongting Liu,
  • Xinyue Zhu,
  • Zichun Ma,
  • Xue Huang,
  • Wei Zhang,
  • Hezhong Jiang,
  • Hai Liao,
  • Jiayu Zhou

摘要

Coptis chinensis Franch., C. deltoidea C.Y.Cheng & P.K.Hsiao, and C. teeta Wall. constitute critically important medicinal resources in traditional Chinese medicine, with a documented history of use for more than 2000 years. However, largely due to overharvesting, the wild resources of these species have become increasingly scarce. Identifying the key environmental variables governing their distribution is therefore necessary for their sustainable utilization and preservation. In this study, the key environmental variables influencing the distribution of three Coptis species were identified through correlation analysis and contribution rates. Then, the maximum entropy (MaxEnt) and Random Forest (RF) models were employed to integrate species occurrence records along with the refined environmental variables. It was found that precipitation and temperature predominantly shaped the distribution of C. chinensis and C. deltoidea, while elevation and temperature were crucial for C. teeta. Currently, the moderately and highly suitable habitats of C. chinensis, C. deltoidea and C. teeta accounted for 14.59%, 10.84%, and 6.82% of the land area of China, respectively. The total suitable habitats of three Coptis species will reach their maximum during the periods 2041–2060, 2081–2100, and 2081–2100 under the high emission (SSP585) scenario, respectively. Expansion was primarily observed in a high-latitude direction, reflecting a potential adaptive response to a warming climate. Intriguingly, a significant correlation was observed between niche overlap and genetic distance (P < 0.05) among three Coptis species, suggesting that spatial distribution might have a role in their speciation and diversification. These findings enhance scientific insights into distribution changes of three Coptis species under future climate change, offering basis for the effective management and conservation strategies.