European Union's Cohesion Policy Programme for 2021–2027, Activity 1.1.1.9 "Post-doctoral Research" of the Specific Objective 1.1.1 "Strengthening research and innovative capacities and introduction of advanced technologies in the common R&D system" of the research application No. 1.1.1.9/LZP/2/25/329
The proposed research is situated within forest operations and soil protection disciplines, with emphasis on the physical impacts of mechanised harvesting on soil structure in managed forest landscapes. It addresses rutting and compaction as critical indicators of ecological disturbance, contributing to knowledge on best practices in sustainable forest management. The project supports the implementation of adaptive strategies aimed at reducing long-term degradation of forest soils and maintaining ecosystem productivity.
The project applies engineering principles to environmental monitoring and mitigation of anthropogenic impacts on forest soils. By developing a sensor-based system for real-time rutting detection, it advances technical solutions for early warning and preventive interventions. The methodology includes sensor integration, system calibration, and environmental validation, contributing to technological innovation in eco-engineering and responsible resource extraction.
The proposed project, to be carried out at the LSFRI "Silava", aims to develop and validate a prototype sensor system for real-time detection and monitoring of soil deformation (rutting) induced by forwarder operations. The primary objective is to enhance the sustainability and efficiency of forest management by mitigating soil degradation and minimising the ecological footprint of timber harvesting. The project directly supports the Smart Specialisation Strategy (RIS3) priority "Knowledge-intensive bioeconomy" by contributing to the development of innovative, resource-efficient technologies for forestry operations.
Key activities include:
- Systematic review and laboratory testing of existing sensor technologies;
- Integration and calibration of sensor systems on forest machinery;
- Field validation under operational harvesting conditions;
- Development of data processing algorithms and visualisation interfaces;
- Targeted professional training for the postdoctoral researcher.