Quantitative methods in ethnobotany and ethnopharmacology: Considering the overall flora-Hypothesis testing for over-and underused plant families with the Bayesian approach. (Record no. 53639)

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control field 20250625162432.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-19514
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Title Quantitative methods in ethnobotany and ethnopharmacology: Considering the overall flora-Hypothesis testing for over-and underused plant families with the Bayesian approach.
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Volume/sequential designation Journal of ethnoPharmacology, 137(1), p.837-843, 2011
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Summary, etc. Ethnopharmacological relevance: We introduce and explain the advantages of the Bayesian approach and exemplify the method with an analysis of the medicinal flora of Campania, Italy. The Bayesian approach is a new method, which allows to compare medicinal floras with the overall flora of a given area and to investigate over- and underused plant families. In contrast to previously used methods (regression analysis and binomial method)it considers the inherent uncertainty around the analyzed data. Materials and methods: The medicinal flora with 423 species was compiled based on nine studies on local medicinal plant use in Campania. The total flora comprises 2237 species belonging to 128 families. Statistical analysis was performed with the Bayesian method and the binomial method. An approximated _2-test was used to analyze the relationship between use categories and higher taxonomic groups. Results: Among the larger plant families we find the Lamiaceae, Rosaceae, and Malvaceae, to be overused in the local medicine of Campania and the Orchidaceae, Caryophyllaceae, Poaceae, and Fabaceae to be underused compared to the overall flora. Furthermore, do specific medicinal uses tend to be correlated with taxonomic plant groups. For example, are the Monocots heavily used for urological complaints. Conclusions: Testing for over- and underused taxonomic groups of a flora with the Bayesian method is easy to adopt and can readily be calculated in excel spreadsheets using the excel function Inverse beta (INV.BETA). In contrast to the binomial method the presented method is also suitable for small datasets. With larger datasets the two methods tend to converge. However, results are generally more conservative with the Bayesian method pointing out fewer families as over- or underused
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Topical term or geographic name entry element META-ANALYSIS
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Topical term or geographic name entry element BAYESIAN APPROACH
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Topical term or geographic name entry element CAMPANIA
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Topical term or geographic name entry element QUANTITATIVE ETHNOBOTANY
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Topical term or geographic name entry element MEDICINAL PLANTS
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Personal name Weckerle, C. S.
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Personal name Cabras, S.
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Personal name Castellanos, M. E.
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Personal name Leonti, M.
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Uniform Resource Identifier <a href="https://drive.google.com/file/d/1FXQG8jNfhpwB_haV0OdybvE1AyMaNvdx/view?usp=drivesdk">https://drive.google.com/file/d/1FXQG8jNfhpwB_haV0OdybvE1AyMaNvdx/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-19514 25.06.2025 25.06.2025 Documentos solicitados