Modeling habitat suitability for endangered herb (Salvia leriifolia Benth) using Innovative hybrid machine learning algorithms
Mapping habitat suitability is critical for conserving endangered medicinal and aromatic plants (MAPs) in degraded ecosystems. This study evaluated habitat suitability for Salvia leriifolia, an endangered herb in Khorasan Razavi, Iran, by comparing individual machine learning models (Random Forest [...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Environmental and Sustainability Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725001151 |
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