Non-random medicinal plants selection in the Kichwa community of the Ecuadorian Amazon.

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ID: 65143
2020
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Abstract
The non-random selection of medicinal plants theory, which predicts taxonomical biases in ethnopharmacopeias, indirectly demonstrates that traditional medicinal systems are rational and based in part on the therapeutic efficacy of plants. This theory suggests that because members of a taxonomical group share similar characteristics, some groups will be over-utilized in pharmacopeias, while other groups bereft of therapeutic potential will be under-utilized medicinally. Empirical evidence fo this theory comes from studies that used data collected at the national level which may lead to the overestimation of medicinal plant list given that some parts of the country (e.g., protected areas) can be unavailable for medicinal plant collection. Similarly, because medicinal plant importance and knowledge can be gender-specific and depends on the degree of exposure of a community, failure to account for gender and community experience can limit our understanding of non-random selection of medicinal plants. In this study, we used the negative binomial model and an examination of studentized residuals to demonstrate that a Kichwa community in the Ecuadorian Amazon over-utilized different sets of medicinal plant families depending on the gender of the informants or the experience of the community. We showed that utilizing local data instead of nationwide data reveals new over-utilized families. Seven of the nine most over-utilized medicinal plant families we found were previously reported in different biogeographical regions. The other two families are novel reports. Overall, our study proposes a novel method to uncover the intracultural heterogeneity of traditional knowledge and people non-random selection of medicinal plants at the local level.
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robles-arias2020nonrandomjournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Robles Arias, Daniela M;Cevallos, Daniela;Gaoue, Orou G;Fadiman, Maria G;Hindle, Tobin;
Journal Journal of ethnopharmacology
Year 2020
DOI
S0378-8741(19)31656-3
URL
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