PJB-2023-528
Spatial distribution of Medicinal plants using maxent modeling technology: A case study of lilownai valley district shangla PAKISTAN
Irfanullah
Abstract
Medicinal plants are important provisioning ecosystem service, which are utilized as whole or in components to cure illness as these have useful chemical substances. The current study was carried out to find the spatial distribution of medicinal plants and their ethnoecological knowledge in Lilowani valley, Shangla, Pakistan. Spatial distributions of medicinal plants were mapped through MaxEnt model. During the study, 28 medicinal plants were identified and collected belonging to 23 different families. Results showed that the highest value of relative frequency citation (RFC) was found as 0.92 for Berberis lycium and Dryopteris odontoloma while the lowest recorded RFC is for Verbascum thapsus which is 0.05. Use Value recorded varies from 0.96-0.08. Important Value Index (IVI) is high for Dryopteris odontoloma i.e. 26.6 while the lowest is that of Asparagus racemosus i.e. 1.39. Linear regression model showed that R2 values range from 0.1 to 0.97 for different medicinal plants. Highest correlation (R2=0.97) was observed between density of Valeriana jatamansi and environmental variables, followed by Skimmia laurel, Gentiana moorcroftiana and Micromera biflora with R2 of 0.96, 0.95 and 0.86 respectively. Most of the medicinal plants showed high correlation between 0.97 and 0.62. MaxEnt model showed mean temperature of driest quarter and precipitation of coldest quarter influence the spatial distribution of medicinal plants with highest AUC values of 0.95 and 0.92 for Trillium govanianum and Aconitum violaceum respectively.
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