Publication | Open Access
Importance Indices in Ethnobotany
377
Citations
42
References
2007
Year
Importance IndicesBiodiversityTraditional Ecological KnowledgeUse CategorizationBiogeographyRci IndicesNature ConservationPractical ConservationHuman EcologyEducationEthnobotanyEthnographyAnthropologyLanguage StudiesRelative Cultural ImportanceSocial AnthropologyCultural Anthropology
Measuring plant importance is central to quantitative ethnobotany, and relative cultural importance (RCI) indices such as use values provide a quantitative framework that is increasingly used but lacks standardization. This review compares RCI indices across four broad categories and offers a step‑by‑step guide focused on the non‑monetary concept of value. The guide details ethnographic methods, use categorization, sampling, and statistical analysis for each RCI category. The paper serves as a practical resource for both novice and experienced researchers developing and applying RCI indices.
Measuring the “importance” of plants and vegetation to people is a central concern in quantitative ethnobotany. A common tool to quantify otherwise qualitative data in the biological and social sciences is an index. Relative cultural importance (RCI) indices such as the “use values” developed by Prance et al. (1987) and Phillips and Gentry (1993a, 1993b) are applied in ethnobotany to calculate a value per folk or biological plant taxon. These approaches can provide data amenable to hypothesis-testing, statistical validation, and comparative analysis. The use of RCI indices is a growing trend in ethnobotanical research, yet there have been few attempts to compile or standardize divergent methods. In this review, we compare RCI indices in four broad categories and present a step-by-step guide to some specific methods. Important background topics are addressed, including ethnographic methods, use categorization, sampling, and statistical analysis. We are concerned here only with “value” as a non-monetary concept. The aspiring and veteran researcher alike should find this paper a useful guide to the development and application of RCI indices.
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