Using the environmental light field method for measuring biologically relevant light characteristics at the household scale

The regular variations of light in the natural light cycle serve as one of the most important cues for the timing of biological events in organisms. The increasing prevalence of artificial light at night (ALAN) alters the natural light cycle and has been found to have harmful effects on human, wildlife, and environmental health. Although several techniques can be employed to measure ALAN, most cannot measure spectral information and, therefore, quantifying ALAN for ecological applications remains a challenge. Here we use the newly described environmental light field (ELF) method to characterise the artificial light environment inside and immediately outside houses in rural settlements (South Africa, Mozambique, and Uganda) as the lighting present in these areas will likely play a role in affecting people's risk of being infected by vector‐borne diseases. The ELF method characterises the light detected by the animal retina, and so offers a powerful tool to compare artificial lighting conditions detected by organisms, taking environmental influences into account. We found light‐emitting diode (LED) lighting to be the dominant lighting type across our study sites. We recorded large variability in both the intensity and spectral composition among houses, with different structural properties and light types present. Given its importance as a disease vector, we use a case study of anopheline mosquitoes, several of which act as malaria vectors, and compare how light characteristics influencing key mosquito behaviours differ among regions and houses. Houses with lights that emit higher proportions of blue and UV light may attract more of certain anopheline species, while repelling others. Higher light intensities inside houses may attract more anophelines, but reduce their feeding. How changes in mosquito attraction and feeding translate into changes in real‐world communities and disease transmission, however, remains unknown.

Authors

Institutions

Publication Details

Journal
Ecography
Published
2026-02-12
DOI
https://doi.org/10.1002/ecog.08264
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using the environmental light field method for measuring biologically relevant light characteristics at the household scale

Ipj Smit, Mark P. Robertson, Layla van Zyl, Bernard W. T. Coetzee
Ecography
Impact of Light on Environment and Health
article

Using the environmental light field method for measuring biologically relevant light characteristics at the household scale

Ipj Smit, Mark P. Robertson, Layla van Zyl, Bernard W. T. Coetzee
article en

Abstract

The regular variations of light in the natural light cycle serve as one of the most important cues for the timing of biological events in organisms. The increasing prevalence of artificial light at night (ALAN) alters the natural light cycle and has been found to have harmful effects on human, wildlife, and environmental health. Although several techniques can be employed to measure ALAN, most cannot measure spectral information and, therefore, quantifying ALAN for ecological applications remains a challenge. Here we use the newly described environmental light field (ELF) method to characterise the artificial light environment inside and immediately outside houses in rural settlements (South Africa, Mozambique, and Uganda) as the lighting present in these areas will likely play a role in affecting people's risk of being infected by vector‐borne diseases. The ELF method characterises the light detected by the animal retina, and so offers a powerful tool to compare artificial lighting conditions detected by organisms, taking environmental influences into account. We found light‐emitting diode (LED) lighting to be the dominant lighting type across our study sites. We recorded large variability in both the intensity and spectral composition among houses, with different structural properties and light types present. Given its importance as a disease vector, we use a case study of anopheline mosquitoes, several of which act as malaria vectors, and compare how light characteristics influencing key mosquito behaviours differ among regions and houses. Houses with lights that emit higher proportions of blue and UV light may attract more of certain anopheline species, while repelling others. Higher light intensities inside houses may attract more anophelines, but reduce their feeding. How changes in mosquito attraction and feeding translate into changes in real‐world communities and disease transmission, however, remains unknown.

EcographyVol. 2026(3)
South African National Parks (ZA), University of Pretoria (ZA), Nelson Mandela University (ZA)
Life in Land
Openalex Percentile: Top 69%
Impact of Light on Environment and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.