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Updated: May 16, 2025

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在气候变化下,基于优化的MaxEnt模型,预测中国的Verbena officinalis潜在息地

Shimao Chen1, Zixuan Jiang1, Jia Song1

  • 1College of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.

Frontiers in plant science
|April 3, 2025
PubMed
概括

药用植物Verbena officinalis显示,由于气候变化,中国的适合息地可能向北扩张. 最低温度是影响其分布的关键因素,影响保护和种植策略.

关键词:
马克森特模型的模型.的官房 (Verbena officinalis) 是一个有色的植物.气候变化 气候变化 气候变化环境变量环境变量潜在的息地预测预测

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