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Identification of spatially heterogeneous drivers of lake eutrophication in China with explainable automated machine learning

Published Online: 2026-03-04

Published Print: 2026-03

Authors

Qin, Wenjie

Zhang, Yuyi

Zheng, Xianghan

Hu, Jingping

Hou, Huijie

Yang, Jiakuan
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2023YFC3902802)

National Natural Science Foundation of China (52170134)

National Natural Science Foundation of China (52222006)

National Natural Science Foundation of China (52070083)

Interdisciplinary Research Program of HUST (2023JCYJ005)

Science and Technology Program of Hubei Province (2024BAA012)
License Information

Text and Data Mining valid from 2026-03-01

Version of Record valid from 2026-03-01
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Article History

Received: 18 October 2025

Accepted: 17 February 2026

First Online: 4 March 2026

Declarations

:

: This study did not involve human participants, their data, or biological material. The research is an observational study using publicly available environmental datasets and computational modeling.

: All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors.

: The authors declare no competing interests.

: Clinical trial number: not applicable.

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