[基于MaxEnt模型和Biomod2组合模型的气候变化下蒙古Saposhnikovia divaricata的适宜性区域划分]
Bao-Jun Liu1, Ze-Yuan Zhao2, Ling Li1
1Inner Mongolia Medical University Hohhot 010110,China.
概括
这项研究使用生态建模在蒙古绘制了Saposhnikovia divaricata的最佳息地. 它确定了影响植物生长和活性成分积累的关键环境因素,用于培养指导.
科学领域:
- 生态生态学 生态生态学
- 药理学是指药理学,即药理学是指药理学.
- 计算生物学 计算生物学
背景情况:
- 像Saposhnikovia divaricata这样的药用植物对全球医疗保健至关重要.
- 环境因素对S. divaricata的生态适应性和质量产生重大影响.
- 了解息地适合性对于药用植物的种植和标准化生产至关重要.
研究的目的:
- 评估息地适宜性,并确定蒙古S. divaricata的最佳生长区域.
- 分析环境变量对S. divaricata分布和活性成分积累的影响.
- 为了比较MaxEnt和Biomod2模型的预测性能,用于生态利基模型.
主要方法:
- 使用MaxEnt和Biomod2组合方法进行生态利基建模.
- 整合气候,土壤和地形数据以评估息地.
- 使用高性能液体染色学 (HPLC) 量化活性成分 (prim-O-glucosylcimifugin,5-O-methylvisammioside).使用高性能液体染色学 (HPLC).
主要成果:
- 生物Mod2组合模型 (AUC=0.957,TSS=0.741) 的表现优于MaxEnt模型 (AUC=0.933,TSS=0.737).
- 最适合S. divaricata生长的省份被确定为多尔诺德,亨蒂,塞伦格,达尔汗乌尔,布尔干,奥尔霍恩和T9v.
- 高度,最热季度降水量 (BIO18) 和年平均温度 (BIO1) 是主要的生态驱动因素. 活性成分的积累与温度,降水和土壤特性有关.
结论:
- 这项研究提供了对S. divaricata在蒙古的息地适宜性的可靠评估.
- 确定了植物分布和活性化合物含量的关键环境驱动因素.
- 为该地区引进,种植和标准化生产S. divaricata提供了必要的指导.
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