Zhongguo Zhong Yao Za Zhi. 2025 Nov;50(21):6008-6016. doi: 10.19540/j.cnki.cjcmm.20250702.101.
ABSTRACT
Medicinal plants represent a critical component of natural resources and play a vital role in global healthcare and therapeutic systems. Saposhnikovia divaricata, a well-known traditional medicinal plant, exhibits ecological and quality suitability that is strongly influenced by various environmental factors. To investigate the suitable distribution and accumulation patterns of active components in S. divaricata in Mongolia, this study integrated climatic, soil, and topographic variables to evaluate its habitat suitability by using both the MaxEnt model and the Biomod2 ensemble modeling approach. The predictive performance of the two models was compared. High-performance liquid chromatography(HPLC) was employed to quantify the active components in collected S. divaricata samples, enabling a comprehensive quality assessment. The results demonstrated that the MaxEnt model achieved an area under curve(AUC) of 0.933 and a true skill statistic(TSS) value of 0.737, while the Biomod2 ensemble model showed improved performance with an AUC of 0.957 and a TSS value of 0.741. The most suitable regions for the growth of S. divaricata were identified as Dornod, Khentii, Selenge, Darkhan-Uul, Bulgan, Orkhon, and T9v provinces. Ecological suitability was primarily influenced by elevation(ELEVATION), precipitation during the warmest quarter(BIO18), and annual mean temperature(BIO1). The accumulation of prim-O-glucosylcimifugin was closely related to temperature, precipitation, and soil particle size, while the content of 5-O-methylvisammioside was largely influenced by precipitation and soil physicochemical properties, including base saturation, aluminum saturation, and cation exchange capacity. This study provides guidance for seed introduction, cultivation, and standardized production of S. divaricata in Mongolia.
PMID:41508172 | DOI:10.19540/j.cnki.cjcmm.20250702.101
