Deciphering and predicting algal bloom variability using size-fractionated organic matter and machine learning in a complex watershed
Understanding the drivers of algal bloom variability is critical for managing eutrophication in freshwater reservoirs, yet most predictive models underrepresent the role of dissolved organic matter (DOM) composition. This study explores the contribution of size-fractionated DOM, specifically dissolv...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25009999 |
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