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Traditionally used medicinal plants for human ailments and their threats in Guraferda District, Benchi-Sheko zone, Southwest Ethiopia.
- Source :
- Journal of Ethnobiology & Ethnomedicine; 9/2/2024, Vol. 20 Issue 1, p1-45, 45p
- Publication Year :
- 2024
-
Abstract
- Background: The field of traditional medicine encompasses a wide range of knowledge, skills, and practices that are deeply rooted in the theories, beliefs, and experiences of different cultures. The research aimed to identify traditional medicinal plants used in Guraferda District and assess the threats they face. Method: A total of 96 individuals, 80 males and 16 females, were interviewed to gather ethnobotanical data. Statistical tests like independent t tests, ANOVA, correlation, and regression were conducted using R software version 4.3.2 to compare informant groups. Result: The study found 81 medicinal plant species in the district from 71 genera and 38 families, with Asteraceae and Solanaceae families having the most species. Leaves were the most commonly used plant part for medicine. Significant differences in plant knowledge were observed across genders, age groups, education levels, and experiences. The highest ICF value was for Dermal and Cutaneous ailments, and Cissampelos mucronata A. Rich and Bidens pilosa L. had the highest fidelity levels. Conclusion: The study highlighted the importance of traditional medicinal plants in treating ailments but noted threats like overharvesting, habitat destruction, and climate change. Conservation efforts and sustainable harvesting practices are crucial to ensure the availability of these plants for future generations. Further research is needed to explore their potential for modern medicine and develop sustainable use strategies. [ABSTRACT FROM AUTHOR]
- Subjects :
- PHYTOTHERAPY
HEALTH literacy
CROSS-sectional method
STATISTICAL correlation
FOCUS groups
T-test (Statistics)
DATA analysis
INTERVIEWING
STATISTICAL sampling
FIELDWORK (Educational method)
SEX distribution
JUDGMENT sampling
DESCRIPTIVE statistics
SURVEYS
RESEARCH methodology
MEDICINAL plants
INFERENTIAL statistics
ANALYSIS of variance
ONE-way analysis of variance
STATISTICS
SOCIODEMOGRAPHIC factors
MAPS
LEAVES
COMPARATIVE studies
DATA analysis software
EDUCATIONAL attainment
REGRESSION analysis
Subjects
Details
- Language :
- English
- ISSN :
- 17464269
- Volume :
- 20
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Ethnobiology & Ethnomedicine
- Publication Type :
- Academic Journal
- Accession number :
- 179394646
- Full Text :
- https://doi.org/10.1186/s13002-024-00709-5