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.
Models
Impacts of disturbances, management and climate change scenarios on ecosystem services based on forest models
Case studies
Three landscape case study areas, each several thousand hectares large, have been selected in France (Bauges), Slovenia (Sneznik) and Poland (Milicz)
Disturbances DB
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
Recent news
- 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
Consortium
