[Analysis of global ecology of Panax notoginseng in suitability and quality].

In this study, the Geographic Information System for Global Medicinal Plants(GMPGIS) was used to assess the global production and ecological adaptation of Panax notoginseng. Based on climate factors and soil types of P. notoginseng from 326 sampling sites, which cover both traditional and current major producing regions, as well as on the results of the ecological similarity computing analysis, we obtained the maximum ecological similarity areas for P. notoginseng worldwide. The results indicated that China was the most suitable ecological and cultivated area globally for P. notoginseng, accounting for more than 70% of the total cultivated area in the world. The United States, Brazil, Portugal, and other 22 countries also had a small amount of potential suitable producing area. China has eight potential suitable producing provinces, including Yunnan, Fujian, Guangxi, Guizhou, etc. The prediction is consistent with the new district of P. notoginseng reported in recent years, which verifies the accuracy of the prediction of GMPGIS. We conducted a literature analysis on resource regeneration and quality ecology on P. notoginseng, and summarized the cultivation, wild tending models, and effects of environmental factors on the quality of P. notoginseng. The results provide scientific basis for selection of P. notoginseng, as well as the introduction, cultivation, and production of P. notoginseng worldwide.

[Construction of traditional Chinese medicine resources information spatial database].

The informatization of traditional Chinese medicine resources is the basis of modern medicine. With a spatial attribute traditional Chinese medicine resources could be carried out for in-depth spatial analysis, data mining and traditional Chinese medicine resources regional industrial layout. In this paper, we took the data of Glycyrrhiza uralensis in the third national Chinese medicine resources survey as the experimental data, described the principles and structure of traditional Chinese medicine resources spatial information database. We also described the establishment of analysis model with the help of this spatial database.

[Evaluation of high-resolution images application for wild medicinal plants macro monitoring: a case of Apocynum].

To investigate the resources of medicinal plant, such as wild Apocynum, supervised classification based on Principal Component Analysis (PCA) and texture feature were used to monitor wild medicinal plants from image captured by ZY-3 and World-view-2 and compare which satellite Image are more appropriate to monitor the wild medicinal plants. The research results shows that: for more complex growth conditions wild medicinal plants Apocynum, high-resolution images Worldview-2 is more suitable for its remote identification, the low-resolution satellite ZY-3 can only recognizes the wild medicinal plants which distributed intensively. If the study target distribution is more intensive and larger scale, and cultivated type medicinal plants, the use of satellite ZY-3 in low resolution remote sensing data to identify the target can be a good choice, it is not necessary to buy high-resolution data, in order to avoid waste of expenditure, for the scattered distribution, the high-resolution satellite imagery data may be indispensable to identify targets.

[Study on suitability regionalization producing area of vulnerable species Acanthopanax senticosus based on TCMGIS].

OBJECTIVE: To determine the suitable regions of Acanthopanax senticosus and provide the basis for its resource census, reservation, wild nature and cultivation. METHODS: The traditional Chinese medicine geographic information system (TCMGIS) was used to select the suitable producing areas. RESULTS: The ecological environments of 269 counties in 11 province or directly governed city region were suitable for Acanthopanax senticosus. They were located in Xiaoxing'anling, Changbai Mountain, Daxing' anling, Yanshan Mountains, Taihang Mountains and Qinling, among which Heilongjiang accounted for 49.3% and Inner Mongolia reached 22.4%, Jilin reached 16.5%, Liaoning reached 4.3%, the total of Hebei, Beijing, Henan, Shanxi, Sichuan and Gansu was 7.4%.

[Suitability evaluation of Cistanche tubulosa based on TCMGIS-I].

OBJECTIVE: To analyze the appropriate producing area of Cistanche tubulosa by mean of TCMGIS-I. METHOD: The TCMGIS-I (Suitability evaluation geographic information system of traditional Chinese medicine producing area) was used to analyze the appropriate producing area of C. tubulosa basing on the optimum ecological factors of Sorth Sinkiang municipality which is the traditional producing area of C. tubulosa. RESULT: The suitable producing areas of C. tubulosa include 56 counties with 190952.1 km2 total areas in Sinkiang municipality, Neimongd municipality and Gansu province; Sinkiang municipality, Gansu and Qinghai provinces have the second-suitable producing areas of C. tubulosa, with 46 counties and 41217.37 km2 total areas; Sinkiang municipality, Inner Mongolia municipality, Gansu province and Ningxia municipality have the third-suitable producing areas of C. tubulosa with 56 counties and 421145.2 km2 total areas. CONCLUSION: It is important to analyze the appropriate producing area of C. tubulosa by means of TCMGIS-I. The results are useful for development of C. tubulosa transplanting and cultivation.

[Suitability evaluation of Cistanche desertiola based on TCMGIS-I].

OBJECTIVE: To analyze the appropriate producing area of Cistanche desertiola. METHOD: The TCMGIS-I (suitability evaluation geographic information system of traditional Chinese medicine producing area) was used to analyze the appropriate producing area of C. desertiola basing on the optimum ecological factors of Aalashan, Inner-Mongolia autonomous region and North Xinjiang au-tonomous region, the traditional producing areas of C. desertiola. RESULT: The results showed that the suitable producing areas of C. desertiola included 159 counties of 5 autonomous regions and provinces, i.e. Xinjiang, Inner Mongolia, Ningxia autonomous regions, and Gansu as well as Qinghai provinces. The total area was 675 354.9 km2 and distributed mainly in Aalashan of Inner Mongolia, eastern part of North Xinjiang, northern part of Gansu and in the middle of Ningxia. CONCLUSION: The suitable producing areas based on TCMGIS-I covered all areas registered in the 3rd national investigation of Chinese traditional medicine resource. And the results were also corresponding to the traditional producing area of C. desertiola recorded in ancient literature and the successful cultivation areas nowadays. It suggested the rationality and reliability of TCMGIS-I.