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Analysis of global ecology of Acanthopanax senticosus in suitability and quality / 药学学报
Acta Pharmaceutica Sinica ; (12): 313-320, 2018.
Article in Chinese | WPRIM | ID: wpr-779879
ABSTRACT
Geographic information system for global medicinal plants (GMPGIS) and MaxEnt modeling are adopted to analyze the ecological suitability of the endangered plant Acanthopanax senticosus. Response curves were created by the raster data of 6 ecological factors, including mean annual temperature, mean temperature of warmest quarter, mean temperature of coldest quarter, mean annual precipitation, mean annual humidity, and mean annual radiation. The relationship between the syringin content of this plant and these ecological factors was analyzed using a redundancy analysis method (RDA), which could be used to predict the most relevant ecological factors influencing the active constituents of Acanthopanax senticosus plants. GMPGIS and MaxEnt results suggest that China, Russia, Japan, and North Korea, are the main producing areas in the world for Acanthopanax senticosus, while there are also other potential areas with maximum similarities of ecological distribution in the United States, Canada, Ukraine, Romania, Hungary, Germany and 22 other countries. In addition, the genuine producing areas in China mainly include Heilongjiang, Jilin and Liaoning, while there are the maximum similarities of ecological distribution of Acanthopanax senticosus in Hebei, Shanxi, Shaanxi and Sichuan. RDA results suggest that the mean annual humidity, precipitation, temperature are the most important eco-factors positively affecting the content of syringin in Acanthopanax senticosus. Our research provides scientific support to the utilization of ecological suitability areas for endangered plant Acanthopanax senticosus and the resource regeneration.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Acta Pharmaceutica Sinica Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Acta Pharmaceutica Sinica Year: 2018 Type: Article