Spatiotemporal Prediction of Ideal Butterfly Habitats in Kun‐Ming's Urban Green Areas: Enabled by Maxent and ArcGIS
ABSTRACT This study presents groundbreaking insights into urban butterfly conservation by developing an integrated modelling framework to predict habitat suitability under climate change. The research addresses three critical gaps in current knowledge: (1) the lack of robust methodologies for assess...
| Published in: | Ecology and Evolution |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-10-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.72300 |
