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Predictions of the Potential Geographical Distribution and Quality of a Gynostemma pentaphyllum Base on the Fuzzy Matter Element Model in China

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  • Zefang Zhao

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Center for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China
    National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest of China, Shaanxi Normal University, Xi’an 710119, China)

  • Yanlong Guo

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Haiyan Wei

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China)

  • Qiao Ran

    (School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
    National Demonstration Center for Experimental Geography Education, Shaanxi Normal University, Xi’an 710119, China)

  • Wei Gu

    (National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest of China, Shaanxi Normal University, Xi’an 710119, China
    College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China)

Abstract

Specific spatial information about medicinal plants is becoming an increasingly important part of their conservation. Gynostemma pentaphyllum (Thunb.) Makino is a traditional Chinese medical plant, and gypenosides is one of the main active components of G. pentaphyllum . In our research, many samples of G. pentaphyllum and the data of gypenosides content in these samples were collected from 43 sampling sites, and based on the Fuzzy Matter Element model (FME), the relationships between gypenosides content and 19 environmental variables were established. Then, the maximum entropy model was used to determine the relative importance of each environmental variable, and thus determine the most limiting habitat criteria. Finally, the weighted average method was applied to determine the potential distribution of G. pentaphyllum in China, which was based on the content of gypenosides. The results showed that the areas of marginally suitable and suitable habitats for G. pentaphyllum in China were approximately 1.2 × 10 6 km 2 and 0.3 × 10 6 km 2 , respectively. The suitable habitats were mainly located in southern China, including Hunan, Hubei, Chongqing, Anhui, Jiangxi, Zhejiang, Shaanxi, and other regions. In conclusion, the FME model could accurately evaluate the habitat suitability of G. pentaphyllum , quantify the area of a suitable habitat, and analyze the spatial distribution.

Suggested Citation

  • Zefang Zhao & Yanlong Guo & Haiyan Wei & Qiao Ran & Wei Gu, 2017. "Predictions of the Potential Geographical Distribution and Quality of a Gynostemma pentaphyllum Base on the Fuzzy Matter Element Model in China," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1114-:d:103336
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    Cited by:

    1. Yumin Wang & Weijian Ran, 2019. "Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach," IJERPH, MDPI, vol. 16(10), pages 1-17, May.
    2. Quanzhong Zhang & Haiyan Wei & Zefang Zhao & Jing Liu & Qiao Ran & Junhong Yu & Wei Gu, 2018. "Optimization of the Fuzzy Matter Element Method for Predicting Species Suitability Distribution Based on Environmental Data," Sustainability, MDPI, vol. 10(10), pages 1-16, September.
    3. Xuhui Zhang & Haiyan Wei & Zefang Zhao & Jing Liu & Quanzhong Zhang & Xiaoyan Zhang & Wei Gu, 2020. "The Global Potential Distribution of Invasive Plants: Anredera cordifolia under Climate Change and Human Activity Based on Random Forest Models," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    4. Zhang, Quanzhong & Wei, Haiyan & Liu, Jing & Zhao, Zefang & Ran, Qiao & Gu, Wei, 2021. "A Bayesian network with fuzzy mathematics for species habitat suitability analysis: A case with limited Angelica sinensis (Oliv.) Diels data," Ecological Modelling, Elsevier, vol. 450(C).

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