Evidence map›Paper›PMID 40261219›Full record

ArticleBiology open2025

Sunlight surveillance: a simplified approach for the monitoring of harmful ultraviolet radiation in freshwater ecosystems.

Coen Hird, Rebecca L Cramp, Craig E Franklin

Abstract read
In one paragraph

Article in Biology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Coen HirdSchool of the Environment, The University of Queensland, Brisbane 4072, Australia.ORCID 0000-0001-9812-4818
Rebecca L CrampSchool of the Environment, The University of Queensland, Brisbane 4072, Australia.ORCID 0000-0001-9798-2271
Craig E FranklinSchool of the Environment, The University of Queensland, Brisbane 4072, Australia.ORCID 0000-0003-1315-3797

Funding

The University of Queensland
6 · The paper itself

Abstract

Ultraviolet radiation (UVR) has a range of strong effects on freshwater ecosystems, and changing UVR is implicated in global amphibian declines. The link between UVR and amphibian declines is not well understood, largely due to limited understanding of actual UVR exposure regimes in freshwater ecosystems. Logistical challenges in measuring aquatic UVR regimes in situ have impeded progress, including the design of cost-effective radiometric monitoring tools and the measurement of UVR at ecologically relevant scales. We designed novel underwater UVR loggers and deployed them in southeast Queensland creeks to log near-continuous underwater ultraviolet index (UVI) for 11 days across four sampling events within the peak amphibian breeding season. We compared these data with solar modelling, dosimetric and handheld radiometric techniques. The dataset (2616 h from 39 UV sensors) revealed a highly heterogenous daily UVR microenvironment that showed capacity for harmful UVI exposures at both sites. Traditional cumulative or periodic UVR monitoring approaches often missed these acute high UVR exposures. Fine scale UVR data logging was proven to be a cost-effective approach for monitoring the UVR microenvironment in freshwater systems. While no single method can be considered universally optimal, our results highlight the advantages of continuous in situ UV monitoring, particularly for capturing short-duration ultraviolet fluctuations relevant to aquatic organisms.

Indexed as

EcosystemEnvironmental MonitoringFresh WaterRadiation MonitoringSunlightUltraviolet RaysAnimalsClimate changeData loggersOzone holeTemperatureUltravioletUltraviolet index (UVI)

Identifiers

PMID40261219
PMCPMC12045633

What OpenQuestion holds

Textmetadata
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.