Quantitative ethnobotany. Applications of multivariate and statistical analyses in ethnobotany
Some wild plant resources are severely threatened by habitat loss and species-selective overexploitation. In addition, indigenous knowledge about the uses of wild plant resources is rapidly disappearing from traditional communities. In the context of conservation and sustainable and equitable use of wild plant resources, quantitative ethnobotany can contribute to the scientific base for management decisions. In the past, most ethnobotanical studies have recorded vernacular names and uses of plant species with little emphasis on quantitative studies. In this working paper, a selection of multivariate and statistical methods particularly applicable to the analysis of ethnobotanical field data is presented. The working paper aims at assisting researchers and students to recognize the appropriate method to analyse their data and to develop management recommendations from scientifically sound conclusions. The techniques presented include cluster and principal component analysis, regression analysis, analysis of variance, and log-linear modelling. Multivariate and statistical analysis requires computerized statistics and graphics programs. Basic technical knowledge to use such tools as well as basic understanding of statistical terms are important requirements to get most benefit from this publication.
- Σύντομος Τίτλος: Quantitative ethnobotany
- Ψηφιακό Αρχείο: https://unesdoc.unesco.org/ark:/48223/pf0000118948
- Εκδότης: UNESCO
- Δημιουργός: Höft, M., Barik, S.K. & Lykke, A.M.
- Πηγή: UNESCO Digital Library
- Ιστότοπος: https://unesdoc.unesco.org/ark:/48223/pf0000118948
- Γλώσσα: Αγγλική
- Άδεια Χρήσης: Ελεύθερη χρήση/διανομή (public domain - open access)
- Έτος: 1999
- Βιβλιογραφία: Höft, M., Barik, S.K. & Lykke, A.M. 1999. Quantitative ethnobotany. Applications of multivariate and statistical analyses in ethnobotany. People and Plants working paper 6. UNESCO, Paris
