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对Pteridium aquilinum (L.) 种群的气候影响的计算分析和建模

Masoud Sheidai¹, Maedeh Alaeifar², Fahimeh Koohdar²

¹Department of Plant Sciences and Biotechnology, Faculty of Life Sciences & Biotechnology, Shahid Beheshti University, Tehran, Iran. msheidai@sbu.ac.ir.

Scientific reports

|December 19, 2025

概括

在伊朗,Pteridium aquilinum是一种药用,面临着气候变化威胁. 这项研究揭示了局部适应和脆弱性的不均,强调需要有针对性的保护策略来保护这种植物.

科学领域:

植物学植物学
保护生物学保护生物学
人口遗传学人口遗传学

背景情况:

在伊朗北部,Pteridium aquilinum是一种具有医学意义的,分布有限.
这种物种对气候变化的影响越来越脆弱.
了解其适应能力对于有效的保护至关重要.

研究的目的:

评估伊朗北部Pteridium aquilinum的种群差异化,适应能力和脆弱性.
确定推动当地适应的关键特征和环境因素.
为了告知这个临灭绝的的保护策略.

主要方法:

混合数据的因子分析 (FAMD) 用于特征分析.
冗余分析 (RDA) 和正规对应分析 (CCA) 用于将变化与气候联系起来.
空间PCA,SCoT位置分析,结构方程建模 (SEM) 和微分方程建模 (DEM).

主要成果:

形态特征 (形,形,数) 和遗传变异与气候梯度 (温度,湿度) 密切相关,表明当地适应.
特定的SCoT位置被确定为适应异常值.
2,3,7和8种群的适应性指数最低,脆弱性最高.
连接模型预测,在未来的气候情景下,一些人群的孤立程度会增加.

结论:

鱼 (Pteridium aquilinum) 对气候变化表现出空间异质的适应性反应.
有针对性的保护是必不可少的,包括增强连接性,辅助基因流动和适应性基因型的现场保护.
遗传因素对适应有积极的贡献,但弱势群体面临下降.

关键词:

遗传标记物遗传标记物形态测量形态测量多变量统计的多变量统计.这里有SCoT标记.统计建模统计建模

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