Comportments of probability approaches in ethno-botanieal inventories and the validation’s of outcome through internal matrix exploration

摘要

The Comportments of probability approaches like Residual Value Analysis (RVA), Binomial, Bayesian and Imprecise Dirichlet Model were evaluated for detecting the over and underuse plant taxa belongs to hot arid region of the Indian Thar Desert. Eighty-One different plant families consisting 597 species treated with various probability analyses. An internal matrix of common under-used and over-used families designated by different probability analysis were explored with the help of total pharmacological properties their respective body system (Relative Importance) and by the multivariate analysis approach (Agglomerative Hierarchical Cluster Analysis, AHC). Residual Value Analysis (RVA), binomial and IDM approaches marked the Aizoaceae, Capparaceae, Chenopodiaceae, Combretaceae, and Polygonaceae as significant underused families However, Menispermaceae, Verbenaceae, Burseraceae, Moringaceae, Salvadoraceae, Liliaceae designated as significant highly overused families by RVA and Bayesian approaches. Inaddition, Scrophulariaceaee was the significant highly overused family represented by both IDM and binomial approaches, however, RVA approach designated this family as underused. Among the underused species Achyranthes aspera materialized as most versatile species that had maximum pharmacological (28), body system (9) and RI (100) value, while these attributes were recorded minimum for Grewia populifolia. Among the overused species, Asparagus racemosus possessed maximum (22) pharmacological properties.The present study provides a new insight about the outcomes of different probability analysis employed in various ethno-botanical inventories. The study indicates that emanate outcomes of these probability methods are not universally static and they maybe changed geographically. The comparative analysis of different body systems and pharmacological properties divulged that in the Thar arid region, species are being select based on their specific medicinal properties, thus, their selection criteria don’t consider taxonomic affiliation with the family.