根据优化的MaxEnt模型,预测木的潜在分布和对气候变化的反应
Xingyu Zhu1, Xin Jiang2, Ying Chen2
1School of Medicine, Northwest University, Xi'an 710069, China.
Plants (Basel, Switzerland)
|March 17, 2025
概括
这项研究使用MaxEnt建模预测了临灭绝的Changium smyrnioides的未来分布. 结果表明,适合息地向东北转移,突出显示安省是这种药草的关键保护区.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 生物地理学是生物地理学.
背景情况:
- 香 (Changium smyrnioides) 是一个临灭绝的药用草本.
- 由于气候变化和人类活动,野生种群正在减少.
- 该物种是必需氨基酸的来源.
研究的目的:
- 预测C. smyrnioides在气候变化下的潜在分布.
- 为了评估物种对不断变化的气候条件的反应.
- 为了确定C. smyrnioides的关键保护区.
主要方法:
- 优化的MaxEnt模型被用于分布预测.
- 分析了包括海拔和气候数据在内的环境变量.
- 在各种气候场景下进行了物种分布建模.
主要成果:
- 在特定的参数下,MaxEnt模型的性能是最佳的.
- 高度,最干旱月份的降水和同热度是主要的分布因素.
- 预计适合息地将向东北移动,总面积可能增加.
结论:
- 江苏省目前拥有最大的适合息地面积.
- 安省被确定为关键的未来保护区.
- 这些发现为在气候变化下保护C. smyrnioides提供了指导.
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