Skip to main content

SingleTree

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 decisionmaking 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.

European union logo and Funded by the European Union text.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

Contact persons
Keywords
forest health
remote sensing
biodiversity
Duration
Funding organisation or partners
FGI
EU
Project partners
NIBIO - Norsk institutt for bioøkonomi
Sveriges lantbruksuniversitet
Itä-Suomen yliopisto
Universidad de Valladolid
Eidgenössische Forschungsanstalt WSL
SCA Skog AB
Creative Optimization Sweden AB
Amt für Wald und Naturgefahren
Kelluu Oy
Koko Forest Oy
Fundacion Centro De Servicios Y Promocion Forestal
Eidgenössische Technische Hochschule Zürich ETHZ
Norges teknisk-naturvitenskapelige universitet NTNU