Deep forecasting architectures mirror ecological time scales in water quality prediction.

Yiqi Yu, Mingzhen Zhang, Zhongyao Liang, Fan Qu, Yao Wang, Xiangzhen Kong, Karsten Rinke, Nengwang Chen

Abstract read

In one paragraph

Article in Environmental science and ecotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yiqi YuFujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China.

Mingzhen ZhangFujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China.

Zhongyao LiangFujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China.

Fan QuCollege of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, China.

Yao WangDepartment of Earth and Planetary Sciences, The University of Hong Kong, 999077, Hong Kong, China.

Xiangzhen KongState Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 211135, China.

Karsten RinkeHelmholtz-Centre for Environmental Research-UFZ, Department Lake Research, Magdeburg, 39114, Germany.

Nengwang ChenFujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate water quality forecasting-specifically tracking phytoplankton dynamics like chlorophyll

Indexed as

Architectural–ecological dualityChlorophyll aDeep forecasting architecturesEcological time scalesHorizon-adaptive AIWater quality forecasting

Identifiers

PMID42701673

DOI10.1016/j.ese.2026.100755

PMCPMC13545705

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.