文献类型：期刊文献

英文题名：Integrated approach to predicting habitat suitability and evaluating quality variations of Notopterygium franchetii under climate change

作者：Wan, Guang-Zhen[1];Li, Qian-Qian[1];Jin, Ling[2];Chen, Juan[1]

第一作者：Wan, Guang-Zhen

通信作者：Chen, J[1];Jin, L[2]

机构：[1]Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China;[2]Gansu Univ Chinese Med, Coll Pharm, Lanzhou 730000, Peoples R China

第一机构：Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Sch Pharm, Lanzhou 730000, Peoples R China;[2]corresponding author), Gansu Univ Chinese Med, Coll Pharm, Lanzhou 730000, Peoples R China.|[1073501e14fb35863569f]甘肃中医药大学药学院（西北中藏药协同创新中心办公室）;[10735]甘肃中医药大学;

年份：2024

卷号：14

期号：1

外文期刊名：SCIENTIFIC REPORTS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001350513800122)】；

基金：This work was supported by the Special Foundation for National Science and Technology Basic Resources of China (2018FY100701); the 2021 Project of the State Drug Administration-Key Laboratory of Quality Control of Chinese Medicinal Materials and Decoction Pieces, China (2021GSMPAKL12); 2021 project of Gansu Medical Products Administration (2021GSMPA008); Genuine Ecological Planting and Quality Assurance Project of China (2022030014).

语种：英文

外文关键词：Notopterygium franchetii; MaxEnt model; Ecological suitability; Climate change; Quality evaluation

摘要：The impact of climate change on medicinal plants has significantly altered their suitable environments, thereby affecting the quality of herbal medicines. Notopterygium franchetii (N. franchetii), a medicinal plant intricately linked to its natural habitat, exhibits substantial quality variations influenced by the ecological conditions of its native region. In this study, comprehensive field surveys were conducted to gather occurrence records and samples of N. franchetii. The Maxent model and ArcGIS software were employed to predict the suitable habitats of N. franchetii during different time periods. A high-performance liquid chromatography (HPLC) method was developed to establish the chemical fingerprints of 21 sample batches. Fourteen common peaks were subjected to cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. The findings revealed quality variations correlated with their geographic origins, identifying peaks 10, 1, 14, 3, and 4 as crucial for quality differentiation. The study indicates that precipitation, temperature, and altitude significantly influence the distribution of N. franchetii. Under current climate conditions, the suitable habitat area for N. franchetii is estimated to be approximately 94,637.33 km2. However, projections under three future climate scenarios suggest a declining trend in suitable habitat areas. A quality zoning map of N. franchetii was developed, integrating a correlation model between chemical composition and environmental variables with the spatial analysis and visualization capabilities of ArcGIS. The high-quality regions for N. franchetii are predominantly located in the Gannan, Linxia, Dingxi, Longnan, and Wuwei districts. These research outcomes offer a valuable reference for identifying suitable cultivation areas and assessing the quality of N. franchetii in Gansu Province.