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[Application of remote sensing and GIS in study of suitability distribution of Swertia mussotii, a Tibetan medicine in Sichuan province].
Dong, Yong-Bo; Luo, Yao; Zhu, Cong; Peng, Wen-Fu; Xu, Xin-Liang; Fang, Qing-Mao.
Afiliação
  • Dong YB; The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.
  • Luo Y; Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China.
  • Zhu C; The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.
  • Peng WF; Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China.
  • Xu XL; The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.
  • Fang QM; Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China.
Zhongguo Zhong Yao Za Zhi ; 42(22): 4387-4394, 2017 Nov.
Article em Zh | MEDLINE | ID: mdl-29318840
ABSTRACT
Swertia mussotii is a kind of rare medicinal materials, the relevant researches are mainly concentrated on its medicinal efficacy and medicinal value till now, researches of adaptive distribution by applying remote sensing and GIS are relatively less. This study is to analyze the adaptive distribution of S.mussotii in Sichuan province by applying remote sensing and GIS technology, and provide scientific basis for the protection and development of wild resources, artificial cultivation and adjustment of Chinese medicine industrial distribution in Sichuan province. Based on literature review and ecological factors such as altitude, annual precipitation and annual average temperature, this study extracted ecological factors, overlay analysis in GIS, as well as combining GPS field validation data by means of remote sensing and GIS, discusses the adaptive distribution of SMF sin Sichuan province. ①The area of adaptive distribution of S. mussotii in Sichuan province is 1 543.749 km², mainly in Dege county, Ganzi county, Daofu county, Kangding county, Barkam, Jinchuan county, Xiaojin county, Danba county, Daocheng county, Xiangcheng county, Xinlong county, Aba county, Muli county and other counties and cities, accounts for about 7.25% in total area. ② Combining statistical information and field validation, this study found that S. mussotii adaptive distribution gained by remote sensing and GIS is in conformity with its actual distribution. The study shows that remote sensing and GIS technology are feasible to obtain the S. mussotii adaptive distribution, they can further be applied to studies on adaptive distributions of other rare Chinese medicinal herb.
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Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china / Medicina_tibetana Métodos Terapêuticos e Terapias MTCI: Terapias_biologicas / Plantas_medicinales Assunto principal: Swertia / Sistemas de Informação Geográfica / Tecnologia de Sensoriamento Remoto / Dispersão Vegetal País/Região como assunto: Asia Idioma: Zh Revista: Zhongguo Zhong Yao Za Zhi Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china / Medicina_tibetana Métodos Terapêuticos e Terapias MTCI: Terapias_biologicas / Plantas_medicinales Assunto principal: Swertia / Sistemas de Informação Geográfica / Tecnologia de Sensoriamento Remoto / Dispersão Vegetal País/Região como assunto: Asia Idioma: Zh Revista: Zhongguo Zhong Yao Za Zhi Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China