Machine learning-driven mapping of prokaryotic community diversity in the Mediterranean Sea using omics, earth observation, and model data
Marine prokaryotic communities are major contributors to oceanic food webs and global biogeochemical cycles. However, basin-scale diversity patterns and environmental drivers remain poorly understood. In this study, we applied a machine-learning framework to model the diversity of marine prokaryotic...
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| Asıl Yazarlar: | , , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2026-05-01
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| Seri Bilgileri: | Ecological Informatics |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S1574954126001536 |
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