Supervised machine learning for understanding and predicting the status of bistable eukaryotic plankton community in urbanized rivers-Reference-Cited by-同舟云学术

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Supervised machine learning for understanding and predicting the status of bistable eukaryotic plankton community in urbanized rivers

Published:2024-11 Issue: Volume:266 Page:122419
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Shang Jiahui,Li Yi^ORCID,Zhang Wenlong,Ma Xin,Yin Haojie,Niu Lihua,Wang Longfei,Zheng Jinhai

Publisher

Elsevier BV

Reference55 articles.

1. Water residence time controls the feedback between seagrass, sediment and light: implications for restoration;Adams;Adv. Water Resour.,2018

2. Anthropogenic stresses on the world’s big rivers;Best;Nat. Geosci.,2018

3. Can we swim yet? Systematic review, meta-analysis, and risk assessment of aging sewage in surface waters;Boehm;Environ. Sci. Technol.,2018

4. Spatial and temporal changes in chlorophyll-aconcentrations in the River Thames basin, UK: are phosphorus concentrations beginning to limit phytoplankton biomass?;Bowes;Sci. Total Environ.,2012

5. Resilience of phytoplankton dynamics to trophic cascades and nutrient enrichment;Carpenter;Limnol. Oceanogr.,2022

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