The effects of artificial nighttime lighting on moth visual ecology and survival
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Biosciences
Abstract
Artificial light at night, from streetlights and other sources, is increasing at unprecedented rates, in terms of intensity and worldwide coverage. This lighting almost certainly has wide-ranging effects on the visual ecology of nocturnal animals, and has been implicated in the dramatic population declines of nocturnal moths throughout Europe.
Many nocturnal moths use their outstanding low-light colour vision to locate flowers at night and are major global contributors to pollen transport networks. Recent research has highlighted the potential for artificial light sources to interfere with the vision of nocturnal pollinators, change their abundance and distribution across landscapes, affect pollination quality, and alter their response to predators. Attraction to light sources is also a well known cause of mortality in many insects. Nevertheless, much of this research remains correlative, or limited to specific species, and a fundamental behavioural understanding is lacking of how different artificial light sources affect specific visual interactions that are key to the survival of moths and the plants they pollinate.
Our visual modelling work identified unexpected interactions between light type, light intensity and object colour, for example allowing the same flower to change from highly conspicuous to a background-matching colour dependent on light intensity. Such effects could fundamentally disrupt pollinator behaviour in a manner that would be almost impossible to detect in the wild, and with unknown consequences for plants. Our modelling also suggested that artificial light could interfere with the anti-predator defences of moths by causing poor choices of background colour for daytime resting.
This project will determine how nighttime artificial light affects three key aspects of moth visual ecology: i) Floral signalling: we will investigate the predictions of our visual modelling using semi-natural experiments, testing the effects of complex interactions between light type, light intensity and flower colour on visually-guided flower detection and handling behaviour. ii) Flight behaviour: tethered flight experiments using simulated viewing conditions will be used to determine how different moth species respond to different aspects of artificial light and background scene appearance, and which hypothesised orientation mechanisms are affected. Specifically, this will measure the attraction, repulsion or flight deflection of different light sources at different intensities, distances and background contrasts. iii) Anti-predator defences: predation is the main source of mortality in many species, and our modelling suggests that artificial light sources could weaken this defence. A combination of moth background choice experiments and controlled predation experiments will determine how nighttime background choice under different types of artificial light affects predation risk from visually-guided avian predators in the daytime.
Fulfilling these three objectives will provide the first assessment of the potential impact of novel light sources on the visual ecology of moths (or any animal). Critically, by determining how and why specific types of artificial light interfere with key behaviours and interspecific interactions we will be able to assess their likely impact on pollination and moth survival, which will in turn affect the biodiversity of wildflowers and other pollinator groups, with implications for food security. Moreover, the results will facilitate the development of targeted mitigation strategies from whole-taxon levels, right down to species-specific interactions. This is critical because next-generation light sources identified as potentially disruptive to pollination behaviour in our modelling are already being deployed.
Many nocturnal moths use their outstanding low-light colour vision to locate flowers at night and are major global contributors to pollen transport networks. Recent research has highlighted the potential for artificial light sources to interfere with the vision of nocturnal pollinators, change their abundance and distribution across landscapes, affect pollination quality, and alter their response to predators. Attraction to light sources is also a well known cause of mortality in many insects. Nevertheless, much of this research remains correlative, or limited to specific species, and a fundamental behavioural understanding is lacking of how different artificial light sources affect specific visual interactions that are key to the survival of moths and the plants they pollinate.
Our visual modelling work identified unexpected interactions between light type, light intensity and object colour, for example allowing the same flower to change from highly conspicuous to a background-matching colour dependent on light intensity. Such effects could fundamentally disrupt pollinator behaviour in a manner that would be almost impossible to detect in the wild, and with unknown consequences for plants. Our modelling also suggested that artificial light could interfere with the anti-predator defences of moths by causing poor choices of background colour for daytime resting.
This project will determine how nighttime artificial light affects three key aspects of moth visual ecology: i) Floral signalling: we will investigate the predictions of our visual modelling using semi-natural experiments, testing the effects of complex interactions between light type, light intensity and flower colour on visually-guided flower detection and handling behaviour. ii) Flight behaviour: tethered flight experiments using simulated viewing conditions will be used to determine how different moth species respond to different aspects of artificial light and background scene appearance, and which hypothesised orientation mechanisms are affected. Specifically, this will measure the attraction, repulsion or flight deflection of different light sources at different intensities, distances and background contrasts. iii) Anti-predator defences: predation is the main source of mortality in many species, and our modelling suggests that artificial light sources could weaken this defence. A combination of moth background choice experiments and controlled predation experiments will determine how nighttime background choice under different types of artificial light affects predation risk from visually-guided avian predators in the daytime.
Fulfilling these three objectives will provide the first assessment of the potential impact of novel light sources on the visual ecology of moths (or any animal). Critically, by determining how and why specific types of artificial light interfere with key behaviours and interspecific interactions we will be able to assess their likely impact on pollination and moth survival, which will in turn affect the biodiversity of wildflowers and other pollinator groups, with implications for food security. Moreover, the results will facilitate the development of targeted mitigation strategies from whole-taxon levels, right down to species-specific interactions. This is critical because next-generation light sources identified as potentially disruptive to pollination behaviour in our modelling are already being deployed.
Publications
Briolat ES
(2024)
Adapting genetic algorithms for artificial evolution of visual patterns under selection from wild predators.
in PloS one
Bullough K
(2023)
Artificial light at night causes conflicting behavioural and morphological defence responses in a marine isopod.
in Proceedings. Biological sciences
Fabusova M
(2024)
Pulsed artificial light at night alters moth flight behaviour.
in Biology letters
Jolkkonen J
(2023)
Artificial lighting affects the landscape of fear in a widely distributed shorebird.
in Communications biology
Troscianko J
(2022)
OSpRad; an open-source, low-cost, high-sensitivity spectroradiometer
Troscianko J
(2023)
OSpRad: an open-source, low-cost, high-sensitivity spectroradiometer
in Journal of Experimental Biology
Troscianko J
(2025)
A hyperspectral open-source imager (HOSI).
in BMC biology
Troscianko J
(2023)
A model of colour appearance based on efficient coding of natural images.
in PLoS computational biology
Yorzinski JL
(2022)
A songbird can detect the eyes of conspecifics under daylight and artificial nighttime lighting.
in Environmental pollution (Barking, Essex : 1987)
| Description | Pulses of light at night (such as those from car headlights) can cause severe impacts on moth flight. We found that conventional LED emissions (typical of modern car headlights) were 80% more likely to cause negative/harmful behavioural responses in moths compared to equivalent LEDs headlights with slightly different emission spectra (even RGB LEDs that look identical to humans). This implies that headlights could be in part responsible for the substantial losses in moth biodiveristy. Moths are both critical pests and pollinators, so their declines poses major worries for agricultural food production and wider biodiversity. |
| Exploitation Route | Our research will influence future policy decisions, and we are hosting an international workshop to seek solutions to the declines in insects caused by light pollution. |
| Sectors | Agriculture Food and Drink Energy Environment |
| Description | Nature and extent of ecological impacts of vehicle headlights |
| Amount | £783,986 (GBP) |
| Funding ID | NE/Z000114/1 |
| Organisation | Natural Environment Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2025 |
| End | 02/2028 |
| Description | QUEX Accelerator Grant |
| Amount | $55,000 (AUD) |
| Organisation | University of Exeter |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 01/2025 |
| End | 12/2025 |
| Description | Univeristy of Exeter windfall studentship |
| Amount | £95,000 (GBP) |
| Organisation | University of Exeter |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2024 |
| End | 04/2028 |
| Title | A colour appearance model based on efficient coding and natural scene statistics |
| Description | We currently lack a usable colour appearance model for calculating the luminance or colour of objects that takes into account a range of visual phenomena. This project has developed a new model that uses information about contrast sensitivity functions and assumptions of limited neural bandwidth. The result is an extremely low-level (generalisable) model of colour appearance that can model an extremely wide range of phenomena. Future work will seek to extend the model into animal models. The pre-print is out, but the manuscript is currently under review (PLoS comp. biol. as of March 2023) |
| Type Of Material | Biological samples |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Existing models of animal colour vision are known to fail in many situation, but we lack any other models. Our new model has the potential to impact on vast numbers of future studies that attempt to model animal vision. |
| Title | High sensitivity, low cost spectroradiometer |
| Description | I developed a low-cost, high-sensitivity spectroradiometer from off-the-shelf components. This equipment is suitable for measuring the spectrum of low-intensity light levels required for research into artificial light at night. |
| Type Of Material | Biological samples |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | Too early to know impacts, but there have been a large number of researchers into ALAN wanting equipment like this, and multiple people asking for the equipment to be made more widely available. Pre-print is out, and a manuscript is under review (as of march 2023) with Journal of Experimental Biol. Ongoing work is developing this into a hyperspectral camera for structural measurements. |
| Title | Hyperspectral open source imager (HOSI) |
| Description | HOSI is an innovative and low-cost solution for collecting full-field hyperspectral data. The system uses a Hamamatsu C12880MA micro spectrometer to take single-point measurements, together with a motorised gimbal for spatial control. The hardware uses off-the-shelf components and 3D printed parts, costing around £350 in total. The system can run directly from a computer or smartphone with a graphical user interface, making it highly portable and user-friendly. The HOSI system can take panoramic hyperspectral images that meet the difficult requirements of light pollution research, sensitive to low light around 0.001 cd.m-2, across 320-880 nm range with spectral resolution of ~ 9 nm (FWHM) and spatial resolution of ~ 2 cycles per degree. The independent exposure of each pixel also allows for an extremely wide dynamic range that can encompass typical natural and artificially illuminated scenes, with sample night-time scans achieving full-spectrum peak-to-peak dynamic ranges of > 50,000:1. |
| Type Of Material | Biological samples |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | A number of labs are now building and deploying their own HOSI systems. This opens up low-light spectral measurement tools to a wide range of researchers, because there were no suitable tools for many aspects of low-light visual ecology research. This is particularly important for understanding the impact of light pollution in various systems. |
| URL | https://doi.org/10.1186/s12915-024-02110-w |
| Title | Colour_Results.csv;Isopods_R.pfd;Path_Results.csv;Path_Shadow.csv;path_Speed.csv from Artificial light at night causes conflicting behavioural and morphological defence responses in a marine isopod |
| Description | Sea-slater calibrated photography measurements, taken before and after each trial, converted to bluetit cone catch quanta;R markdown script showing the full statistical analysis;Measurements of the sea-slaters' movement;Data showing the proportion of time sea-slaters spent in each zone;Data of the sea-slaters' speed and intermittent movement |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Colour_Results_csv_Isopods_R_pfd_Path_Results_csv_Path_Shad... |
| Title | Colour_Results.csv;Isopods_R.pfd;Path_Results.csv;Path_Shadow.csv;path_Speed.csv from Artificial light at night causes conflicting behavioural and morphological defence responses in a marine isopod |
| Description | Sea-slater calibrated photography measurements, taken before and after each trial, converted to bluetit cone catch quanta;R markdown script showing the full statistical analysis;Measurements of the sea-slaters' movement;Data showing the proportion of time sea-slaters spent in each zone;Data of the sea-slaters' speed and intermittent movement |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://rs.figshare.com/articles/dataset/Colour_Results_csv_Isopods_R_pfd_Path_Results_csv_Path_Shad... |
| Description | Brett Seymoure & Avalon Owens ALAN distributed experiment |
| Organisation | Harvard University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Brett and Avalon are creating an international distributed experiment. Our team have been key collaborators in shaping the hypothesis and methods. |
| Collaborator Contribution | Brett and Avalon are the primary organisers, coordinating the international effort. |
| Impact | As a result of the collaboration and discussions, we are hosting (at the University of Exeter) an international workshop focused on addressing the causes of insect declines linked to light pollution. The workshop will be in May, and has attracted many of the world's leaders in the field, together with other stakeholders from policy, lighting engineering, social sciences and conservation charities/NGOs. The project is highly interdisciplinary aside from the wide range of stakeholders, bringing together applied conservation ecologists, visual ecologists, entomologists, and environmental law. |
| Start Year | 2023 |
| Description | Brett Seymoure & Avalon Owens ALAN distributed experiment |
| Organisation | University of Texas, El Paso |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Brett and Avalon are creating an international distributed experiment. Our team have been key collaborators in shaping the hypothesis and methods. |
| Collaborator Contribution | Brett and Avalon are the primary organisers, coordinating the international effort. |
| Impact | As a result of the collaboration and discussions, we are hosting (at the University of Exeter) an international workshop focused on addressing the causes of insect declines linked to light pollution. The workshop will be in May, and has attracted many of the world's leaders in the field, together with other stakeholders from policy, lighting engineering, social sciences and conservation charities/NGOs. The project is highly interdisciplinary aside from the wide range of stakeholders, bringing together applied conservation ecologists, visual ecologists, entomologists, and environmental law. |
| Start Year | 2023 |
| Description | Collaboration with Anna Stöckl |
| Organisation | University of Konstanz |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We are providing equipment (controlled LEDs, colour-matched samples) and labour to perform behavioural experiments. |
| Collaborator Contribution | Anna Stöckl is providing my team access to her bred moths for behavioural work, and her lab facilities in Konstanz. |
| Impact | The partnership has led to further collaboration. Anna is a listed collaborator on a successful NERC grant application, and will assist in measurements of insect responses to pulsed artificial light (such as vehicle headlights). |
| Start Year | 2023 |
| Description | Karen Cheney - Light monitoring solutions |
| Organisation | University of Queensland |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | I collaborated with Karen Cheney in applying for a successful 'QUEX' grant (value ~AUD $55,000) that will draw together a range of international experts to develop solutions for environmental light monitoring. I assisted in writing the grant, and my own research (resulting from this NERC award) has led to the creation of light measurement and monitoring hardware that is well suited to the scope of the project. I will also be hosting the workshop at the University of Exeter. |
| Collaborator Contribution | Karen Cheney co-wrote the grant application, and is coordinating the workshop with me (to be held at our University of Exeter campus in Cornwall). |
| Impact | The workshop will happen in May 2025, and will seek to develop hardware, software, and bioinformatics tools to monitor natural light levels in both marine and terrestrial habitats. Light governs many key biological processes, and climate change and pollution (both chemical/nutrient release and light pollution) are affecting marine and terrestrial systems, either directly, or by altering water turbidity. The collaboration is highly interdisciplinary, drawing together behavioural ecology, visual ecology, electrical engineering, marine engineering, and bioinformatics. |
| Start Year | 2024 |
