Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models

Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models

The relationship between total phosphorus (TP) and benthic chlorophyll-a (chl-a), a vital indicator of algal biomass in freshwater ecosystems, has been well-established since the 1960s. Different machine learning models have been used to predict the benthic chl-a from the TP and dissolved P (DP), ho...

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Bibliographic Details
Main Authors: Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecological Informatics
Subjects:
Total phosphorus
Freshwater ecosystem
Dissolved phosphorus
Predictive models
Benthic chlorophyll-a
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124005326
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