ArticleScientific reports2026
Spatio-temporal dynamics of riverine cyanobacteria and selected water quality indicators under two hydrological regimes.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Network-Scale Patterns and Drivers of Microcystins in a Heavily Impacted Watershed.Ecosystems (New York, N.Y.) · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global climate change increases the likelihood of hydrological extremes in rivers such as floods and low flow conditions, with profound consequences on ecology and human wellbeing. To study how water quality parameters including phytoplankton respond to hydrological extremes, we analysed two distinct years with high (2021) and low discharge (2022), in a regulated Central European river and using a multidisciplinary approach: weekly in situ biochemical data, longitudinal profiles, hydrological modelling and remote sensing of chlorophyll. The drought summer 2022 in comparison to the wet and cold summer 2021 was on average characterized by lower discharge (39 vs. 328 m
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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.