Imagine trying to track the environmental damage caused by a product's journey from a forest in Africa to a store in Europe. This work creates a better 'ecological receipt' that shows exactly how much nature is lost during the production of things like soy and timber. It helps companies find the exact spots in their supply chain where they can make the biggest positive change.
Companies importing biomass struggle to quantify the actual biodiversity loss in their supply chains, leading to regulatory risks and 'leakage' where environmental damage simply moves to another region.
A biodiversity footprint tool for Brazilian soy and enhancements to the GLOBIOM global modelling platform to simulate policy impacts.
If you are a soybean exporter dealing with strict EU import regulations — this project developed a tool to assess carbon and biodiversity footprints of Brazilian soy derivatives that helps you prove your sustainability claims.
If you are a wood pulp processor dealing with biodiversity loss in Central Africa — this project developed improved biodiversity metrics for life cycle analyses that identify specific leverage points to reduce ecological damage.
If you are a fishmeal producer dealing with unstable supply chain governance — this project developed the GLOBIOM modelling tool to simulate how different policy scenarios affect your long-term biodiversity impact.
Based on available project data, no pricing or commercial cost structures are mentioned as the project is EU-funded research.
The project focuses on global modelling via GLOBIOM and data compilation from 8 countries, but it is currently in the research and validation phase rather than a commercial industrial scale.
Based on available project data, there is no specific mention of licensing terms or patents; the results are intended to inform public and private decision-makers.
It aligns with Pillars 3 & 4 of the EU Biodiversity Strategy 2030, providing indicators of biodiversity loss to help businesses comply with institutional governance.
The project period runs from 2022-09-01 to 2025-08-31, meaning final results and tools will be fully available by late 2025.
The consortium is heavily academic, consisting of 6 universities and 5 research institutions across 8 countries. With 0% industry ratio and only 2 SMEs, the project is driven by scientific validation and policy-making rather than immediate commercial product development, which suggests the outputs are high-quality data tools rather than off-the-shelf software.
Contact the University of Bonn (Rheinische Friedrich-Wilhelms-Universität Bonn)
Contact SciTransfer to connect with the GLOBIOM tool developers for a corporate pilot.
