Innovative forest management strategies for a resilient bioeconomy under climate change and disturbances (I-MAESTRO) improves the scientific basis for developing management strategies that increase resilience for future natural disturbances and climate change, while maintaining a high level of wood production, carbon storage, and habitat quality for biodiversity.
The data will be stored in a common database for all modellers to guarantee that models use similar input data and are tested against a common database
- A new article from Christopher Reyer et al. (2020): the database they use for the stand-scale model evaluation on the PROFOUND sites. 31 August 2020
- WP2 : Slovenia : collection of empirical data on forest recovery after multiple disturbances (ice-storm in 2014 and following bark beetle) in Logatec. 28 August 2020
- A new article from Srdan Keren (2020). Modeling Tree Species Count Data in the Understory and Canopy Layer of Two Mixed Old-Growth Forests in the Dinaric Region. Forests 2020, 11(5), 531. 20 May 2020
- A new article from Jaroslaw Socha et al. (2020), about the Milicz case study: Assessing the sensitivity of site index models developed using bi-temporal airborne laser scanning data to different top height estimates and grid cell sizes. International Journal of Applied Earth Observation and Geoinformation, vol.91, 102129. 7 May 2020
- A new article from the team of the University of Agriculture in Krakow published in frame of the project I-MAESTRO: Grabska, E.; Hawryło, P.; Socha, J.: Continuous Detection of Small-Scale Changes in Scots Pine Dominated Stands Using Dense Sentinel-2 Time Series. Remote Sensing 2020, 12, 1298 23 April 2020