Cross-cultural comparisons of medicinal floras and bioprospecting revisited

Saslis‐Lagoudakis, C. Haris; Williamson, Elizabeth; Savolainen, Vincent; Hawkins, Julie A.

doi:10.1016/j.jep.2011.09.015

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…For example, one may ask if closely related species tend to have similar use value in a given community or village. This approach has been used to uncover cross‐cultural convergence of medicinal plant use as well as the phylogenetic underpinning of plant therapeutic value (Saslis‐Lagoudakis et al ., 2012; Haris Saslis‐Lagoudakis et al ., 2014; Yessoufou et al ., 2015; Teixidor‐Toneu, Jordan & Hawkins, 2018; Lei et al ., 2020). Where there is a phylogenetic signal in use value, phylogenetic information could be used to predict the use value of a species for which we lack such information or to group species in different use value categories.…”

Section: Advanced Statistical Methods For Hypothesis Testing In Ethno...mentioning

confidence: 99%

Methodological advances for hypothesis‐driven ethnobiology

et al. 2021

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Ethnobiology as a discipline has evolved increasingly to embrace theory-inspired and hypothesis-driven approaches to study why and how local people choose plants and animals they interact with and use for their livelihood. However, testing complex hypotheses or a network of ethnobiological hypotheses is challenging, particularly for data sets with nonindependent observations due to species phylogenetic relatedness or socio-relational links between participants. Further, to account fully for the dynamics of local ecological knowledge, it is important to include the spatially explicit distribution of knowledge, changes in knowledge, and knowledge transmission and use. To promote the use of advanced statistical modelling approaches that address these limitations, we synthesize methodological advances for hypothesis-driven research in ethnobiology while highlighting the need for more figures than tables and more tables than text in ethnobiological literature. We present the ethnobiological motivations for conducting generalized linear mixed-effect modelling, structural equation modelling, phylogenetic generalized least squares, social network analysis, species distribution modelling, and predictive modelling. For each element of the proposed ethnobiologists quantitative toolbox, we present practical applications along with scripts for a widespread implementation. Because these statistical modelling approaches are rarely taught in most ethnobiological programs but are essential for careers in academia or industry, it is critical to promote workshops and short courses focused on these advanced methods. By embracing these quantitative modelling techniques without sacrificing qualitative approaches which provide essential context, ethnobiology will progress further towards an expansive interaction with other disciplines.

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Section: Advanced Statistical Methods For Hypothesis Testing In Ethno...mentioning

confidence: 99%

Methodological advances for hypothesis‐driven ethnobiology

et al. 2021

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“…Interestingly, four of these most over‐utilized families (Combretaceae, Malvaceae, Apocynaceae, and Lamiaceae) are listed in the top drug‐producing families (Zhu et al, 2011). The rest (except Capparaceae) is recently listed as high‐priority families for future drug screening for various conditions: Verbenaceae for gynecological conditions; Moraceae for neurological problems; and Solanaceae, Anacardiaceae, and Lamiaceae for skin problems (Saslis‐Lagoudakis et al, 2012). As such, it not a surprise that these families are over‐utilized in Benin.…”

Section: Discussionmentioning

confidence: 99%

“…Our finding of phylogenetic signal in plant organ selection suggests that similar organs are selected from closely related species for medicinal use. This is an additional powerful support to the phylogeny as a tool to prioritize efforts in bio‐screening for new drugs (Saslis‐Lagoudakis et al, 2012). One explanation as to why similar organs from closely related species are medicinally used is predicted in the optimal defense theory (Pavia et al, 2002; Strauss et al, 2004), which indicates that most valuable organs for individual and population fitness would be more defended against diseases or herbivory and, consequently, would be rich in secondary compounds useful for humans as medicine (Stamp, 2003; Zangerl & Rutledge, 1996).…”

Section: Discussionmentioning

confidence: 99%

Phylogeny reveals non‐random medicinal plant organ selection by local people in Benin

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Yessoufou

Mankga

et al. 2021

Plants People Planet

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“…In continuation of the discussion in an earlier issue (Leonti et al, 2012;Moerman, 2012;Weckerle et al, 2011;Heinrich and Verpoorte, 2012) we have a related discussion in this issue about how ethnopharmacological data analysis could play a role in bioprospecting (Gertsch, 2012;Saslis-Lagoudakis et al, 2012). This discussion refers to the paper by Saslis-Lagoudakis et al (2011).…”

mentioning

confidence: 88%