Imagine trying to sleep or find food while a giant flashlight is pointed at your face and a loud siren is blaring next to you. That is what many wild animals face because of our cities and factories. This work creates a guidebook and a map to help us stop disturbing nature with our lights and noise.
Companies face increasing regulatory pressure to protect biodiversity, but they lack the tools to measure and mitigate the specific impacts of light and noise pollution.
A handbook and database for impact assessment, spatiotemporal models for European-scale evaluation, and a set of policy recommendations.
If you are a municipal infrastructure developer dealing with strict nature restoration laws — this project developed a handbook and database that helps you design city lighting and noise barriers that don't kill local wildlife.
If you are an ESG firm dealing with complex biodiversity reporting — this project developed spatiotemporal models that allow you to accurately measure how a client's noise and light emissions affect the surrounding ecosystem.
If you are a lighting manufacturer dealing with new EU Green Deal regulations — this project developed innovative solutions to prevent light pollution that can be integrated into your product line to meet 2030 targets.
Based on available project data, the database is intended to be open access, but specific pricing for the handbook or models is not mentioned.
Yes, the project develops spatiotemporal models designed to evaluate impacts at the European scale.
Based on available project data, the database is open access, but specific licensing for the innovative solutions is not detailed.
The project provides recommendations for enhancing legal and policy frameworks to align with the EU Biodiversity Strategy for 2030.
The project period runs from 2024-01-01 to 2027-12-31, suggesting final outputs will be ready by the end of 2027.
The consortium is heavily academic, consisting of 7 universities and 4 research organizations across 8 countries. With 0% industry participation and 0 SMEs, the project is currently driven by scientific discovery rather than commercial application, meaning business users will need to act as early adopters to translate these findings into products.
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