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http://dx.doi.org/10.6116/kjh.2019.34.6.1.

Ethnobotanical Study of Medicinal Plants used by Indigenous People in Wolchulsan National Park, Korea  

Song, Mi-Jang (Department of Integrated Bio-Resource Science, Jeonju University)
Publication Information
The Korea Journal of Herbology / v.34, no.6, 2019 , pp. 1-23 More about this Journal
Abstract
Objectives : The purpose of this study was to document the use of medicinal plants in traditional practices and to analyze and evaluate medicinal traditional knowledge of indigenous people in Wolchulsan National Park. Methods : Data were collected through interviews, informal meetings, open and group discussions, and observations guided by semi-structured questionnaires. Data were analyzed via quantitative analysis of use value (UV), informant consensus factor (ICF) and fidelity level (FL), and network analysis. Results : A total of 580 methods of usage recorded in this study were classified into 55 families, 95 genera, and 104 species. Plants with the highest recorded UVs were Glycine max (L.) Merr., Leonurus japonicus Houtt., and Artemisia princeps Pamp.. The informant consensus factor about using medicinal plants ranged from 0.55 to 0.92, which showed a high level of agreement among the informants on respiratory system disorders and pains. There were 22 species of plants with a fidelity level of 100 %, after eliminating the plants that were mentioned only once from the analysis. Finally, using network analysis, Glycine max (L.) Merr. and Artemisia princeps Pamp. were defined as species with meaningful medicinal use, while lumbago and leg pain were defined as significant ailments in the study area. Conclusions : This study highlights the diversity and importance of medicinal traditional knowledge for communities of Wolchulsan National Park, Korea. The results of this study will provide basic data for phytochemical and pharmaceutical studies, such as new medicines and therapies.
Keywords
Medicinal traditional knowledge; Use Value; Informant Consensus Factor; Fidelity Level; Network analysis; Wolchulsan National Park;
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