ABSTRACT
Objective:To explore the potential suitable distribution area and the high-quality distribution area of <italic>Sabia parviflora</italic>. Method:Combined with the distribution information and environmental factors，the maximum entropy （MaxEnt） model and ArcGIS software were used to predict the potential suitable distribution area of <italic>S. parviflora</italic>. Based on the correlation between environmental factors and total saponins，total flavonoids，quercetin-3-<italic>O</italic>-gentiobioside，camellianoside，tsubakioside A，kaempferol-3-<italic>O</italic>-rutinoside and isobariclisin-3-<italic>O</italic>-rutinoside，the quality regionalization was conducted by using spatial interpolation method and fuzzy superposition function in ArcGIS software. Result:<italic>S. parviflora</italic> is mainly distributed in Yunnan，Guizhou，Guangxi province in China. The medium and high suitable areas accounts for about 2.88% of the national area. The precipitation in October and November，the precipitation in the warmest and driest seasons，the standard deviation of seasonal changes in temperature and altitude are the main environmental factors that affect the distribution of <italic>S. parviflora</italic>. Slope，precipitation，solar radiation and temperature change had great influence on the accumulation of secondary metabolites. Based on the results of potential suitable distribution and spatial interpolation of each component，the high-quality areas of <italic>S. parviflora</italic> are mainly concentrated in the southwest of Guizhou，with Qinglong，Guanling，Zhenning，Pu'an，Xingren county and other areas as the core. Conclusion:This study provides a scientific guidance for the site selection of artificial planting and the procurement of medicinal materials for <italic>S. parviflora</italic>.
ABSTRACT
Quality characteristics based on active substance are focused for in the cultivation of traditional Chinese medicine(TCM) plants due to their economic values. However, ecological and quality suitability are not always a coincidence, which makes traditional cultural regionalization for TCM cultivation based on ecological suitability have great limitations in practical applications. A regionalization method integrated GIS and medicinal plants quality have been analyzed by using field quality data of Notopterygii Rhizoma et Radix as a case study. Spatial interpolation based on medicine quality by Cokriging method is reasonable, and the predicted values of interpolation are correlated with measured values significantly, which shows that cultural regionalization for TCM cultivation based on spatial quality suitability is possible theoretically. The results indicate that the most suitable areas for quality suitability were mainly distributed in Sichuan province (29.42%), while the spatial distribution of quality suitability and ecological suitability was not coincidence. The cultivation regionalization of TCM plants based on quality suitability is helpful to high quality and quantity cultivation of those TCM plants which spatial distribution of geoherbalism and ecological suitability is separated.
ABSTRACT
Based on the research results of suitability evaluation of growth and production quality, a functional production cultivation regionalization with high feasibility and operability to solve the problem of the separation of high quality and high yield were formatted for protection, wild monitoring, and cultivation of this plant by weighted sum of spatial suitability data of ecology and quality, as well as integrated with land use and cover data. The results of the study revealed that good quality and high yield area were mainly distributed in the original production areas in Sichuan province and where could carry out monitoring and commercialization cultivation. This method is expected to overcome shortage of traditional regionalization methods difficult to distinguish the contribution of ecological factors and quality factors, which provide an innovative theory and methodology for regionalization, and is helpful to practical application of wild resource protection, nature research, monitoring, and commercialization cultivation for Chinese material medica.
ABSTRACT
The research on distribution and quality suitability division of Desmodium styracifolium were formulated by Maxent and ArcGIS model based on the content of schaftoside and polysaccharide of D. styracifolium and its field research in the south and southwest areas of China (Guangdong, Guangxi, Hainan and Yunnan), and the most suitable habitats of distribution suitability and quality suitability were screened. The distribution suitability results indicated that average air temperature in April,mean temperature of coldest quarter, soil type, coldness index were found as the four dominant factors contributing to the plant distribution. The quality suitability results indicated that: ①Polysaccharide content and precipitation in April show significant positive correlation;Schaftoside content and mean temperature of April, mean temperature of coldest quarter show significant negative correlation. Schaftoside content shows significant negative correlation with the precipitation in October and November and the sunshine duration in April and May, while there is a significant positive correlation between schaftoside content and precipitation in April and temperature seasonality standard deviation, and a highly significant positive correlation was found between schaftoside content and precipitation in February and March. ②The quality zoning map was drawn depend on general content of polysaccharide and schaftoside as the index of quality. And this research provides scientific location basis for the production regionalization, cultivation bases selection and directive breeding of D. styracifolium.
ABSTRACT
The major contributing factors for growth of endangered medicinal plants of Fritillariae Cirrhosae Bulbus were screened on the GIS platform by using the MaxEnt model, and spatial distribution data of the medicine quality suitability were generated by geostatistics interpolation based on reported measured data of ecology and quality suitability assessment. On this basis, a functional production cultivation regionalization with high feasibility and operability were formatted for protection, wild monitoring, and cultivation of this plant by fuzzy superposition of spatial suitability data of ecology and quality, as well as integrated with land use and cover data. Therefore, a novel assessment and regionalization method were presented for ecology, growth and quality suitability of the Chinese traditional medicinal plants. This method is expected to overcome shortage of traditional regionalization methods difficult to distinguish the contribution of ecological factors and quality factors, which provide an innovative theory and methodology for regionalization, and is helpful to practical application of wild resource protection, monitoring, and commercialization cultivation for traditional Chinese medicinal plants.