[Medicinal plant biodiversity in Jilin province based on big data of the fourth national survey of traditional Chinese medicine resources].

Using Origin2022Pro, PAST4.09, GraphPad, and ArcGIS, this study analyzed the big data of the fourth national survey of traditional Chinese medicine resources in Jilin province from five dimensions: differences in resource quantity, taxonomic group, family, and genus, regional distribution, and spatiotemporal distribution, aiming to fully elucidate the biodiversity of medicinal plants in Jilin province. The results indicated that 2 241 species of medicinal plants existed in Jilin province, belonging to 881 genera of 243 families, with 20 dominant families and 3 dominant genera.

[Quality of Schisandrae Chinensis Fructus regionalization based on GIS technology].

This paper is aims to clarify the spatial distribution of high quality medicinal materials Schisandrae Chinensis Fructus. Based on investigation and field investigation, the samples and distribution information of Schisandrae Chinensis Fructus were collected. Based on the data of four kinds of lignin chemical constituents, ecological environment factors and spatial distribution data of Schisandrae Chinensis Fructus, using GIS technology, maximum information entropy model and SPSS statistical analysis method for regionalizing the quality of Schisandrae Chinensis Fructus.

[Regionalization study of Dioscorea nipponica in Jilin province based on MaxEnt and ArcGIS].

At the urgent practical issue of resource protection and artificial cultivation area selection of Dioscorea nipponica, the dominant environmental factors affecting the distribution of D. nipponicain Jilin province were selected by field investigation and using the maximum information entropy model and geographic information technology. MaxEnt model study found that the standard deviation of seasonal variation of temperature, precipitation in October and other six environmental factors on the growth of D.