Paper Details

PJB-2023-528

Spatial distribution of medicinal plants using MaxEnt modeling technology: a case study of Lilownai valley, district Shangla, Pakistan 

Irfan Ullah, Sabeeqa Usman Malik, Naveed Ahmad, Zuhair Hasnain and Muhammad Tayyab
Abstract


Medicinal plants are important in provisioning ecosystem service, and they are utilized as a whole or as components to cure illness as they contain useful chemical substances. The current study was conducted to find spatial distribution and ethnoecological knowledge of medicinal plants in Lilowani Valley, Shangla, Pakistan. Spatial distribution of medicinal plants was mapped through the MaxEnt model. During the study, 28 medicinal plants belonging to 23 different families were identified and collected. 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 varied from 0.96-0.08. Important Value Index (IVI) was high for Dryopteris odontoloma i.e. 26.6 while the lowest was Asparagus racemosus i.e., 1.39. The linear regression model showed that R2 values range from 0.1 to 0.97 for different medicinal plants. The highest correlation (R2=0.97) was observed between the 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 a high correlation between 0.97 and 0.62. The most prominent climatic factor was BIO9 (Mean temperature of driest quarter/◦C) which contributed towards spatial distribution of 06 out of 10 species, followed by BIO19 (Precipitation of coldest quarter/mm) and BIO11 (Mean temperature of coldest quarter/◦C) with the highest values of 0.95 and 0.92 for Trillium govanianum and Aconitum ferox respectively

To Cite this article: Ullah, I., S.U. Malik, N. Ahmad, Z. Hasnain and M. Tayyab. 2025. Spatial distribution of medicinal plants using MaxEnt modeling technology: a case study of Lilownai valley, district Shangla, Pakistan. Pak. J. Bot., 57(4): DOI: http://dx.doi.org/10.30848/PJB2025-4(31)  
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