ABSTRACT
The distribution, yield and sample information data of Pinus massoniana was obtained by document literature and sample investigation. Based on sample data from 12 provinces including 414 sample plots and environment factors in China,the distribution regionalization of P. massoniana was predicted by using Maxent and spatial analysis function of ArcGIS. The results showed that the northernmost distribution of P. massoniana was 33.5 degrees north latitude, and it mainly distributed in the southeast in China. Based on plant age, plant height, yield per plant and other growth index from 414 sample plots, combined vegetation form and other data, the growth regionalization of P. massoniana was carried out by using SPSS and related functions of ArcGIS. The results showed that Fujian, Guizhou and Guangxi had a lager distribution area of P. massoniana, meanwhile, it had a relatively higher yield of fresh pine needles. The relational model between environmental factors and shikimic acid,and procyanidin, and the total lignans was constructed by using SPSS regression analysis method. Then the spatial calculation function of ArcGIS was used tocarry out the quality regionalization of P. massoniana based on the relational model. The results showed that east of Sichuan, Guizhou, Chongqing had a good pine needles quality. Based on the distribution, growth and quality regionalization, the production suitability regionalization of P. massoniana was carried out. The results showed that the optimal planting base region mainly distributed in east of Sichuan, middle and east of Guizhou, and east of Guangxi.
ABSTRACT
The distribution information of Glycyrrhiza uralensis was collected by interview investigation and field survey, and 46 related environmental factors were collected, some kinds of functional chemical constituents of G.uralensis were analyzed. Integrated climate, topography and other related ecological factors, the habitat suitability study was conducted based on Arc geographic information system(ArcGIS),and maximum entropy model. The AUC of ROC curve was both above 0.95, indicating that the predictive results with the maximum model were highly precise. The results showed that 5 major ecological factors have obvious influence on ecology suitability distributions of G. uralensis, including July average temperature, soil sub category, Dec precipitation, vegetation types and standard deviation of seasonal variation in temperature, et al. It is suitable for the living habits of the G. uralensis, adequate light, low rainfall, summer heat and large temperature difference between day and night, which is suitable for distribution in the northern temperate plains and mountains. In addition, the ecological suitability regionalization based on the chemical constituents of G.uralensis also provides a new suitable distribution area other than the traditional distribution area, which provides a scientific basis for the reasonable introduction of G.uralensis.
ABSTRACT
The distribution information of Lycii Fructus was collected by interview investigation and field survey, and 46 related environmental factors were collected, some kinds of functional chemical constituents the of Lycii Fructus were analyzed. Integrated climate, topography and other related ecological factors, the habitat suitability study was conducted based on Arc geographic information system(ArcGIS),and maximum entropy model. The AUC of ROC curve was both above 0.95, indicating that the predictive results with the maximum model were highly precise. The results showed that 5 major ecological factors had obvious influence on ecology suitability distributions of Lycii Fructus, including soil pH, soil subclass, vegetation type and in August the average temperature et al. It is suitable for the living habits of the Lycii Fructus, dry, cool weather, more hardy, drought-resistant, alkali soil, which is suitable for distribution in the northern temperate plains. In addition, the ecological suitability regionalization based on the chemical constituents of Lycii Fructus also provides a new suitable distribution area other than the traditional distribution area, which provides a scientific basis for the reasonable introduction of Lycii Fructus.
ABSTRACT
The distribution information of Chinese angelica was collected by interview investigation and field survey, and 43 related environmental factors were collected, some kinds of functional chemical constituents of Angelica sinensis were analyzed. Integrated climate, topography and other related ecological factors, the habitat suitability study was conducted based on Arc geographic information system(ArcGIS),and maximum entropy model. Application of R language to establish the relationship between the effective component of Chinese angelica and enviromental factors model, using ArcGIS software space to carry out space calculation method for the quality regionalization of Chinese angelica. The results showed that 4 major ecological factors had obvious influence on ecology suitability distributions of Chinese angelica, including altitude, soil sub category, May precipitation and the warmest month of the highest temperature, et al. It is suitable for the living habits of the Chinese angelica, cold and humid climate, which is suitable for the deep area of the soil. In addition, the ecological suitability regionalization based on the effect of Chinese angelica also provides a new suitable distribution area other than the traditional distribution area, which provides a scientific basis for the reasonable introduction of Chinese angelica.