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Ecological Suitability Analysis of Siraitia grosvenorii Producing Areas across the World 被引量:1
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作者 Xiaoqin WEI ce lai +2 位作者 Zhengkuan HUANG Xiao LEI Wenjing HE 《Medicinal Plant》 CAS 2020年第3期60-64,67,共6页
[Objectives]The purpose of this study was to provide reference for scientific introduction and rational production planning of Siraitia grosvenorii.[Methods]Using the Geographic Information System for Global Medicinal... [Objectives]The purpose of this study was to provide reference for scientific introduction and rational production planning of Siraitia grosvenorii.[Methods]Using the Geographic Information System for Global Medicinal Plants(GMPGIS),the ecological factors and suitable producing areas of S.grosvenorii were analyzed.The maximum information entropy model MaxEnt and the GMPGIS analysis method were compared.Verification analysis was performed with cosine similarity and Kappa method.[Results]S.grosvenorii is mainly produced in China.Brazil and Congo(Democratic Republic)are the two countries with the largest potential distribution.Indonesia,Colombia,Peru,the United States,Bolivia,Thailand and Myanmar have great development potential in the introduction and cultivation of S.grosvenorii.In China,S.grosvenorii mainly grows in the coastal provinces dominated by Guangxi,with a tendency of gradually expanding to the north,where the temperature has been rising slowly compared with the original producing area of Guilin.Guangxi is the main producing area.Guangdong,Jiangxi and Hunan are regions with potential wide distribution.Fujian,Yunnan,Sichuan,Guizhou,Zhejiang,Chongqing,Hainan,Hubei and Taiwan,China also have small distributions.Among the 210 largest ecologically similar areas,the average cosine similarity was above 99.9%.[Conclusions]The potential distribution areas predicted by the GMPGIS analysis method have high prediction accuracy.This will provide effective scientific reference for the introduction and standardized cultivation of medicinal plants. 展开更多
关键词 GMPGIS Siraitia grosvenorii Ecological suitability
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