@article {Zhixia:2017:1420-3049:1630,
title = "Predicting the Global Potential Distribution of Four Endangered Panax Species in Middle-and Low-Latitude Regions of China by the Geographic Information System for Global Medicinal Plants (GMPGIS)",
journal = "Molecules",
parent_itemid = "infobike://doaj/14203049",
publishercode ="doaj",
year = "2017",
volume = "22",
number = "10",
publication date ="2017-01-01T00:00:00",
pages = "1630-1630",
itemtype = "ARTICLE",
issn = "1420-3049",
url = "https://www.ingentaconnect.com/content/doaj/14203049/2017/00000022/00000010/art00054",
doi = "doi:10.3390/molecules22101630",
author = "Zhixia Du and Jie Wu and Xiangxiao Meng and Jinhua Li and Linfang Huang",
abstract = "Global biodiversity is strongly influenced by the decrease in endangered biological species. Predicting the distribution of endangered medicinal plants is necessary for resource conservation. A spatial distribution modelgeographic information system for global medicinal plants (GMPGIS)is used to predict the global potential suitable distribution of four endangered Panax species, including Panax japonicas (T. Nees) C. A. Meyer and Panax japonicas var. major (Burkill) C. Y. Wu & K. M. Feng distributed in low- and middle-latitude, Panax zingiberensis C. Y. Wu & K. M. Feng and Panax stipuleanatus C. T. Tsai & K. M. Feng in low-latitude regions of China based on seven bioclimatic variables and 600 occurrence points. Results indicate that areas of P. japonicus and P. japonicus var. major are 266.29 105 and 77.5 105 km2, respectively, which are mainly distributed in China and America. By contrast, the areas of P. zingiberensis and P. stipuleanatus are 5.09 105 and 2.05 105 km2, respectively, which are mainly distributed in Brazil and China. P. japonicus has the widest distribution among the four species. The data also indicate that the mean temperature of coldest quarter is the most critical factor. This scientific prediction can be used as reference for resource conservation of endangered plants and as a guide to search for endangered species in previously unknown areas.",
}