Optimizing multifunctional forest-based value chains with single tree information and application of digital technologies

European forests, pivotal in the bioeconomy and provision of ecosystem services, face growing challenges from climate threats, impacting their multifunctional roles from carbon sequestration to biodiversity and recreation. ""SingleTree"" seeks to transform forest management, aligning with the EU’s Bioeconomy Strategy, Rural Vision, Biodiversity Strategy, and the European Green Deal.

SingleTree leverages cutting-edge data capture and AI technologies to monitor individual tree attributes, health, and biodiversity ensuring a holistic approach to multifunctional forest management.

By developing solutions for forest health monitoring and wood quality control, the project aims to enhance sustainable forest management, considering the diverse European and regional forest varieties.

Data acquisition across the value chain, from forest operations to wood processing, will be optimized, aiding decision-making processes, from harvesting timings to treatment options.

Using a co-creation approach with Living Lab value chains, the project quickly develops solutions addressing real-world challenges.

It focuses on boosting forest resilience, preventing biodiversity loss due to climate change, and maximizing the use of different wood grades. SingleTree prioritizes the full utilization of forest biomass, highlighting the carbon retention of premium wood.

Furthermore, SingleTree will assess the environmental and social impacts of its innovations, focusing on biodiversity enhancement, resource efficiency, and the implications for stakeholders.

The project encourages regional and local entities, particularly SMEs, to adopt innovative business models emphasizing sustainability, circularity, and tiered biomass use.

This strategy enhances material utilization and highlights the balance of trade-offs, synergies, and community involvement, ensuring beneficial outcomes for the environment, society, and economy in regional and rural areas.