Based on database of ecological factors and geographic information space analysis method, we analyzed suitability of Wolfiporia extensa (Peck) Ginns producing regions, in the hope of providing reference for scientific...Based on database of ecological factors and geographic information space analysis method, we analyzed suitability of Wolfiporia extensa (Peck) Ginns producing regions, in the hope of providing reference for scientific zoning and cultivation. Ecological factors we analyzed mainly include temperature, altitude, and soil. Our analysis shows that Hubei, Anhui, Yunnan, Guizhou and Sichuan provinces are regions that have highest similarity with original producing areas of Wolfiporia extensa (Peck) Ginns. This is basically consistent with actual conditions. In addition, we predicted some regions (for example, Gansu) that have not been recorded in literature, which provides scientific and reliable data support for seed introduction and expansion of Wolfiporia extensa (Peck) Ginns. Using the GIS-based program for the distribution prediction of traditional Chinese medicine (TCMGIS-II) to analyze suitability of Wolfiporia extensa (Peck) Ginns producing regions is scientific and accurate, and will provide important reference for seed introduction, cultivation and scientific zoning of Wolfiporia extensa (Peck) Ginns.展开更多
基金Supported by Significant New Medicine Formulation in the Eleventh Five-Year Plan Period(2009ZX09504-004)Key National Natural Scient Foundation of China(81130069)(81274013)
文摘Based on database of ecological factors and geographic information space analysis method, we analyzed suitability of Wolfiporia extensa (Peck) Ginns producing regions, in the hope of providing reference for scientific zoning and cultivation. Ecological factors we analyzed mainly include temperature, altitude, and soil. Our analysis shows that Hubei, Anhui, Yunnan, Guizhou and Sichuan provinces are regions that have highest similarity with original producing areas of Wolfiporia extensa (Peck) Ginns. This is basically consistent with actual conditions. In addition, we predicted some regions (for example, Gansu) that have not been recorded in literature, which provides scientific and reliable data support for seed introduction and expansion of Wolfiporia extensa (Peck) Ginns. Using the GIS-based program for the distribution prediction of traditional Chinese medicine (TCMGIS-II) to analyze suitability of Wolfiporia extensa (Peck) Ginns producing regions is scientific and accurate, and will provide important reference for seed introduction, cultivation and scientific zoning of Wolfiporia extensa (Peck) Ginns.
