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Projection of species and use categories in the plane formed by A) axes 1 and 2 and B) axes 1 and 3 of the principal component analysis on the basis of the preference scores of species by use category. Note: E1 = Vachellia xanthophloea (Benth.) Banfi & Galasso, E2 = Albizia gummifera (JF Gmel.) CA Sm., E3 = Alnus acuminata Kunth, E4 = Alstonia boonei De Wild. , E5 = Amphimas pterocarpoides Harms, E6 = Angylocalyx pynaertii De Wild., E7 = Aningeria adolfi-friedericii (Engl.) Robyns & GCC Gilbert, E8 = Anonidium mannii (Oliv.) Engl. & Diels, E9= Anthocleista vogelii Board., E10 = Aphanocalyx cynometroides Oliv., E11 = Beilschmiedia louisii Robyns & R. wilczek, E12 = Bersama mildbraedii Gürke, E13 = Bridelia ferruginea Benth, E14 = Buchnerodendron speciosum Gürke, E15 = Canarium schweinfurthii Engl., E16 = Celtis mildbraedii Engl. , E17 = Cleistopholis glauca Pierre ex Engl. & Diels, E18 = Coccineorchis bracteosa (Ames & C.Schweinf.) Garay, E19 = Cola nitida (Vent.) Schott & Endl. , E20 = Cordia africana Lam., E21 = Cynometra alexandri CH Wright, E22 = Dombeya rotundifolia (Hochst.) Planch., E23 = Dracaena arborea K.Koch, E24 = Englerina woodfordioides (Schweinfurth) Balle ex MGGilbert, E25 = Entandrophragma cylindricum Sprague , E26 = Entandrophragma utile (Dawe & Sprague) Sprague, E27 = Erythrina abyssinica Lam., E28 = Fagara macrophylla Engl., E29 = Ficalhoa laurifolia Hiern, E30 = Ficus mucuso Welw. ex Ficalho, E31 = Ficus vallis-choudae Delile, E32 = Galiniera coffeoides Delile, E33 = Garcinia epunctata Stapf, E34 = Garcinia punctata Oliv., E35 = Gilbertiodendron dewevrei (De Wild.) J.Léonard, E36 = Grewia louisii R. Wilczek , E37 = Guarea thompsonii Sprague & Hutch., E38 = Harungana madagascariensis Lam. ex Poir., E39 = Ilex mitis (L.) Radlk., E40
Source publication
Background: In rural human societies, people's knowledge of plants can vary according to some factors, including socio-demographic characteristics. This study was carried out among local communities living near forest patches of the Lubero Mountain Massif in north-eastern Democratic Republic of Congo (DR Congo). Its aim was to assess the effect of...
Contexts in source publication
Context 1
... = 50.56%) are the best-known species as energy wood. On the other hand, no species has reached the 50% citation threshold for the other use categories. The PCA enabled the association of woody species with use categories (Fig. 3). The first three principal components of the PCA explain 89.7% of the variation in species preference scores by use category. The first main component rigorously contrasts the "Food" use category with the "Wood-energy" use category. On the other hand, while the second main component combines the use categories "Medico-magic" and ...
Context 2
... rigorously contrasts the "Food" use category with the "Wood-energy" use category. On the other hand, while the second main component combines the use categories "Medico-magic" and "Crafts", the third main component rigorously opposes them. On one side, the projection of species and use categories in the plane formed by components 1 and 2 (Fig. 3A) ...
Citations
... Education levels showed that even more educated individuals (59% with middle schooling) were interested in ethnobotanical knowledge, challenging the notion that only the less educated retain traditional knowledge (Gaoue et al. 2017). Earlier studies from Mexico and Congo were unable to associate the education level with traditional knowledge (Beltran-Rodriguez et al. 2014, Ndavaro et al. 2024. Floristic Analysis A total of 199 medicinal plants from 170 genera and 67 families were recorded in this study. ...
Abstract
Background: The traditional medicine systems across the world are reliant on the locally available plant species. It is very common for rural communities to treat their diseases using native plant species. This study aimed to document the rich traditional knowledge of medicinal plants used by rural communities in the foothill villages of the Alagar hills region, part of the Eastern Ghats in Tamil Nadu, India.
Methods: Ethnobotanical surveys were conducted with 93 informants selected through non-probability sampling and snowball sampling methods distributed across three foothill villages of the Alagar hills region from December 2020 to February 2023. Sociodemographic characteristics of the informants, and ethnobotanical data including plant families, life forms, parts used, modes of administration, and routes of administration were analysed using percentage. Quantitative indices such as Use Value, Family Use Value, Relative Frequency Citation, Informant Consensus Factor, Informant Agreement Ratio, Fidelity Level % were calculated using established formulae.
Results: About 199 medicinal plants utilized to treat various disease conditions, grouped into 18 different ailment categories, were documented. The Fabaceae family (31 species) was the most commonly used. Herbs (34%) were the most used life form, and leaves (41%) were the most frequently used plant part in herbal drug preparations. Paste (36%) was the most common preparation method, and the oral route (72%) was the most frequently used route of administration.
Conclusions: This study underscores the significant role of medicinal plants in the healthcare practices of rural communities in the study area. Quantitative analysis identified culturally significant species contributing to the conservation of medicinal plant species, preservation of traditional knowledge, and also for isolation and identification of novel bioactive compounds.
Keywords: Ethnobotany, Ethnomedicine, Herbal drugs, Dindigul, Traditional knowledge
Connaître les mesures classiques de la diversité floristique est crucial pour étayer les stratégies de conservation des ressources végétales des forêts dégradées. La présente étude vise premièrement à apprécier les paramètres de diversité spécifique et structurale de la flore ligneuse des îlots forestiers du massif montagneux de Lubero et deuxièmement, à déterminer son état de conservation afin de proposer des mesures appropriées pour sa gestion durable. Un échantillonnage stratifié par grappe a été effectué pour les inventaires forestiers. À cet effet, 297 placeaux de 50 m2 chacun ont été matérialisés dans dix îlots forestiers. Les indices de diversité spécifique ont été calculés et les paramètres dendrométriques ont été déterminés. L’entropie de Renyi a été calculée pour comparer la diversité alpha des espèces ligneuses entre les îlots forestiers. Le test rang de Kruskal-Wallis et l’analyse de variance ont permis de comparer les paramètres de diversité structurale entre les peuplements ligneux. Au total, 104 espèces ligneuses (86 genres et 45 familles) ont été recensées. La richesse spécifique des îlots forestiers varie entre 11 et 78. L’indice de diversité de Shannon-Wiener est très variable (1,98 à 4,03 bits) et l’équitabilité de Pielou est assez élevée (0,83 à 0,94). Des différences hautement significatives de densité (degré de liberté ddl=9, chi-square = 93.1316, P<0,0001), de diamètre moyen (ddl=9, statistique F =23.163, P<0,0001), de surface terrière (ddl=9, statistique F =53.568, P<0,0001) et de hauteur de Lorey moyenne (ddl=9, statistique F =208.454 ; P<0,0001) des espèces ligneuses ont été notées entre les îlots forestiers. Du point de vue de la conservation, 87 espèces ligneuses sont rapportées sur la liste rouge de l’Union internationale pour la conservation de la nature (UICN). Les espèces ligneuses déclarées « Vulnérables », « Quasi menacées » et « En danger » méritent une attention particulière des décideurs politiques et des gestionnaires forestiers.
