Cascading predictions from common to uncommon species improves species distribution models for plants
Species distribution models (SDMs) traditionally rely on abiotic factors like climate and topography to predict plant species distributions. While effective at broad scales, these models often fail at finer spatial resolutions due to their inability to capture localized environmental conditions and...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2026-02-01
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| Rangatū: | Ecological Informatics |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S1574954125004339 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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