Research on suitable distribution of Paris yunnanensis based on remote sensing and GIS.
10.19540/j.cnki.cjcmm.2017.0188
- Author:
Yao LUO
1
;
Yong-Bo DONG
1
;
Cong ZHU
1
;
Wen-Fu PENG
1
;
Qing-Mao FANG
2
;
Xin-Liang XU
3
Author Information
1. The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.
2. Sichuan Institute of Traditional Chinese Materia Medica, Chengdu 610041, China.
3. Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, Beijing 100101, China.
- Publication Type:Journal Article
- Keywords:
GIS;
Paris yunnanensis;
ecological factors;
remote sensing
- From:
China Journal of Chinese Materia Medica
2017;42(22):4378-4386
- CountryChina
- Language:Chinese
-
Abstract:
Paris yunnanensis is a kind of rare medicinal herb, having a very high medicinal value. Studying its suitable ecological condition can provide a basis for its rational exploitation, artificial cultivation, and sustainable utilization. A practicable method in this paper has been proposed to research the suitable regional distribution of P. yunnanensis in Sichuan province. By the case study of P. yunnanensis in Sichuan province, and according to related literatures, the suitable ecological condition of P. yunnanensis such as altitude, mean annual temperature (MAT), annual precipitation, regional slope, slope ranges, vegetative cover, and soil types was analyzed following remote sensing (RS) and GIS.The appropriate distribution regionof P. yunnanensis and its area were extracted based on RS and GIS technology,combing with the information of the field validation data. The results showed that the concentrated distribution regions in counties of Sichuan province were, Liangshan prefecture, Aba prefecture, Sertar county of Ganzi prefecture, Panzhihua city, Ya'an city, Chengdu city, Meishan city, Leshan city, Yibin city, Neijiang city, Luzhou city, Bazhong city, Nanchong city, Guangyuan city and other cities and counties area.The suitable distribution area in Sichuan is about 7 338 km², accounting for 3.02% of the total study regional area. The analysis result has high consistency with the filed validation data, and the research method for P. yunnanensis distribution region based onspatial overlay analysis and the extracted the information of land usage and ecological factors following the RS and GIS is reliable.
