文献类型：期刊文献

英文题名：Biomod2 modeling for predicting the potential ecological distribution of Lilium Davidii var. Willmottiae (E. H. Wilson) Raffill

作者：Ma, Xiaohui[1];Guo, Xudong[1];Xi, Shaoyang[1];Wang, Yinquan[1,3];Wu, Guotai[1,2,3];Jin, Ling[1,2,3]

第一作者：马晓辉

通信作者：Ma, XH[1];Jin, L[1];Jin, L[2];Jin, L[3]

机构：[1]Gansu Univ Chinese Med, Coll Pharm, Lanzhou 730000, Peoples R China;[2]Gansu Univ Chinese Med, Gansu Pharmaceut Ind Innovat Res Inst, Lanzhou 730000, Peoples R China;[3]Gansu Univ Chinese Med, Northwest Collaborat Innovat Ctr Tradit Chinese Me, Lanzhou 730000, Peoples R China

第一机构：甘肃中医药大学药学院（西北中藏药协同创新中心办公室）

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Coll Pharm, Lanzhou 730000, Peoples R China;[2]corresponding author), Gansu Univ Chinese Med, Gansu Pharmaceut Ind Innovat Res Inst, Lanzhou 730000, Peoples R China;[3]corresponding author), Gansu Univ Chinese Med, Northwest Collaborat Innovat Ctr Tradit Chinese Me, Lanzhou 730000, Peoples R China.|[10735]甘肃中医药大学;[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）;

年份：2025

卷号：15

期号：1

外文期刊名：SCIENTIFIC REPORTS

收录：;Scopus(收录号：2-s2.0-105017629401);WOS:【SCI-EXPANDED(收录号:WOS:001587010000012)】；

基金：This work was supported by Enhancing Security and Innovation Capabilities of Traditional Chinese Medicine Project (Gansu TCM General Letter [2024] No. 14). China Agriculture Research System of MOF and MARA (CARS-21). Gansu Province Science and Technology Plan Project: Major Science and Technology Special (23ZDFA013-1). Northwest Collaborative Innovation Center for Traditional Chinese Medicine Co-constructed by Gansu Province & MOE of PRC. Strategic Research and Consulting Project of China Academy of Engineering (GS2021ZDA06).

语种：英文

外文关键词：Lilium davidii var. willmottiae; Species distribution model; Biomod2; Potential distribution; Environmental factors

摘要：Lilium davidii var. willmottiae (E. H. Wilson) Raffill (L. davidii), a unique sweet lily variety globally, has been cultivated in China for over a century. It holds significant cultural and economic value, recognized as a national geographical indication product. This study aimed to accurately simulate and predict the potential suitable habitats for L. davidii in China using species distribution modeling (SDM) techniques and comprehensive environmental data. By leveraging geographic distribution data of L. davidii within China and integrating it with climate and topographical variables within the biomod2 modeling framework, the potential suitable habitats for L. davidii under current conditions were assessed. An in-depth analysis of the key environmental variables determining its distribution pattern was also conducted. The biomod2 ensemble model demonstrated high accuracy in identifying suitable habitats for L. davidii, achieving an AUC of 0.855 and a TSS of 0.957. The analysis revealed that temperature seasonality (bio4), elevation (Elev), and the minimum temperature of the coldest month (bio6) are the core environmental factors significantly influencing its suitable distribution range. These findings enhance the scientific understanding of the ecological adaptability of L. davidii and provide a scientific basis for optimizing planting layouts, precision agriculture practices, rational expansion of planting areas, germplasm resource protection, and formulating sustainable utilization strategies. Ultimately, this research contributes to promoting the development of specialty agriculture and protecting the ecological environment for this important species.