Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10215770 | Journal of Applied Research on Medicinal and Aromatic Plants | 2018 | 7 Pages |
Abstract
For modeling procedure 35 occurrence records and 14 Worldclim environmental factors as well as aspect, slope, vegetation and elevation data was used. The result showed that precipitation is the key influential factor that affects the distribution of Perilla. The highly suitable cultivation regions of Perilla are Dehradun, Tehri Garhwal, Uttarkashi, Rudraprayag and Nainital districts of Uttarakhand, India. The statistically significant AUC (area under curve) value (0.915) of ROC (receiver operating characteristic) curve indicated that MaxEnt could be used to predict the potentially suitable cultivation regions of medicinal plants, and the results could pave way for habitat conservation and resource utilization of rare and endangered medicinal plants.
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Authors
Swanti Sharma, Kusum Arunachalam, Dhruval Bhavsar, Rajkanti Kala,