Evidence map›Paper›PMID 41011315›Full record

ArticleMicroorganisms2025

Cyanobacterial Bloom in Urban Rivers: Resource Use Efficiency Perspectives for Water Ecological Management.

Qingyu Chai, Yongxin Zhang, Yuxi Zhao, Hongxian Yu

Abstract read
In one paragraph

Article in Microorganisms, 2025. 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

4 authors.

Qingyu ChaiDepartment of Management, Heilongjiang University of Science and Technology, Harbin 150022, China.
Yongxin ZhangCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.
Yuxi ZhaoDepartment of Management, Heilongjiang University of Science and Technology, Harbin 150022, China.
Hongxian YuCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.

Funding

National Key R&D Program of China 2022YFF1300903
6 · The paper itself

Abstract

Cyanobacterial blooms in urban rivers present critical ecological threats worldwide, yet their mechanisms in fluvial systems remain inadequately explored compared to lacustrine environments. This study addresses this gap by investigating bloom dynamics in the eutrophic Majiagou River (Harbin, China) through phytoplankton resource use efficiency (RUE), calculated as chlorophyll-a per unit TN/TP. Seasonal sampling (2022-2024) across 25 rural-to-urban sites revealed distinct spatiotemporal patterns: urban sections exhibited 1.9× higher cyanobacterial relative abundance (RAC, peaking at 40.65% in autumn) but 28-30% lower RUE than rural areas. Generalized additive models identified nonlinear RAC-RUE relationships with critical thresholds: in rural sections, RAC peaked at TN-RUE 40-45 and TP-RUE 25-30, whereas urban sections showed lower TN-RUE triggers (20-25) and suppressed dominance above TP-RUE 10. Seasonal extremes drove RUE maxima in summer and minima during freezing/thawing periods. These findings demonstrate that hydrological stagnation (e.g., river mouths) and pulsed nutrient inputs reduce nutrient conversion efficiency while lowering bloom-triggering thresholds under urban eutrophication. The study establishes RUE as a predictive indicator for bloom risk, advocating optimized N/P ratios coupled with flow restoration rather than mere nutrient reduction. This approach provides a science-based framework for sustainable management of urban river ecosystems facing climate and anthropogenic pressures.

Indexed as

cyanobacterial bloomsecological managementnutrient thresholdsresource use efficiencyurban river

Identifiers

PMID41011315
PMCPMC12472097

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.