Evidence map›Paper›PMID 42426012›Full record

ArticleNature communications2026

Preferential nitrogen retention characterizes current eutrophication in United States lakes.

Ran Zhou, Josep Peñuelas, Jordi Sardans, Yindong Tong, Jinlong Zhang, John A Dearing, Meng Liu, Zisong Chen, Xinyi Wu, Shu Tao and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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
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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

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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

11 authors.

Ran ZhouCollege of Urban and Environmental Sciences, Peking University, Beijing, China.
Josep PeñuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.
Jordi SardansCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Spain.ORCID http://orcid.org/0000-0003-2478-0219
Yindong TongSchool of Environmental Science and Engineering, Tianjin University, Tianjin, China.ORCID http://orcid.org/0000-0002-0503-6585
Jinlong ZhangCollege of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-1031-5183
John A DearingPalaeoecological Laboratory, Geography and Environment, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-1466-9640
Meng LiuCollege of Urban and Environmental Sciences, Peking University, Beijing, China.
Zisong ChenCollege of Urban and Environmental Sciences, Peking University, Beijing, China.
Xinyi WuCollege of Urban and Environmental Sciences, Peking University, Beijing, China.
Shu TaoCollege of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7374-7063
Xilong WangCollege of Urban and Environmental Sciences, Peking University, Beijing, China. xilong@pku.edu.cn.ORCID http://orcid.org/0000-0002-5668-9703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relative retention of nitrogen (N) and phosphorus (P) in lakes and their roles in nutrient cycling remain debated. Although the United States has implemented long-term P control measures in lakes, inexplicable eutrophication exacerbation still reoccurred over the past two decades. Here we geographically track and analyze the nutrient retention changes of 121 lakes in the USA during 2012-2022 using a combination of machine learning and Bayesian hierarchical methods. We find that the preferential retention of P in 70.3% lakes in 2012 shifted to that of N in 85.1% lakes in 2017, and 92.6% lakes in 2022. Four key lake indicators exhibit flickering-like dynamics, which may help identify the nutrient metabolic disorder-like state in the aquatic ecosystem. Overall, our results show that eutrophication in U.S. lakes during 2012-2022 is advancing on the basis of preferential and net nutrient retention shift from P to N, flickering-like dynamics, and associated occurrence of the nutrient metabolic disorder-like state that are all predominantly driven by internal cycling instead of external loading. These patterns are consistent with the possibility of a regime shift rather than simple eutrophication recurrence, and provide insights relevant to lake management and water quality improvement strategies.

Identifiers

PMID42426012
PMCPMC13478381

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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.