Author: Sophie Labonne

This author has written 52 articles

From the past winds to future storms – updating the Database of Forest Disturbances in Europe Published October 22, 2020 by Mart-Jan Schelhaas

You can find this article from the Resilience Blog here: https://resilience-blog.com/2020/10/22/from-the-past-winds-to-future-storms-updating-the-database-of-forest-disturbances-in-europe/

Continue ReadingFrom the past winds to future storms – updating the Database of Forest Disturbances in Europe Published October 22, 2020 by Mart-Jan Schelhaas

Bridging the gap between the world(s) of research, practitioners and policy-makers Published October 20, 2020 by Gesche Schifferdecker

  You can find this article from the resilience blog here: https://resilience-blog.com/2020/10/20/bridging-the-gap-between-the-worlds-of-research-practitioners-and-policy-makers/

Continue ReadingBridging the gap between the world(s) of research, practitioners and policy-makers Published October 20, 2020 by Gesche Schifferdecker

Hawryło, P.,Francini, S., Chirici, G., Giannetti, F., Parkitna, K., Krok, G., Mitelsztedt, K., Lisańczuk, M., Stereńczak, K., Ciesielski, M., Wężyk, P., Socha, J., 2020. The use of remotely sensed data and polish NFI plots for prediction of growing stock volume using different predictive methods. Remote Sens. 12, 1–20. https://doi.org/10.3390/rs12203331

Continue ReadingHawryło, P.,Francini, S., Chirici, G., Giannetti, F., Parkitna, K., Krok, G., Mitelsztedt, K., Lisańczuk, M., Stereńczak, K., Ciesielski, M., Wężyk, P., Socha, J., 2020. The use of remotely sensed data and polish NFI plots for prediction of growing stock volume using different predictive methods. Remote Sens. 12, 1–20. https://doi.org/10.3390/rs12203331

A new article from Christopher Reyer et al. (2020): the database they use for the stand-scale model evaluation on the PROFOUND sites.

Reyer C.P.O. et al., 2020.The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. Earth System Science Data, 12, 1295-1320, 2020.  https://doi.org/10.5194/essd-12-1295-2020

Continue ReadingA new article from Christopher Reyer et al. (2020): the database they use for the stand-scale model evaluation on the PROFOUND sites.

WP2 : Slovenia : collection of empirical data on forest recovery after multiple disturbances (ice-storm in 2014 and following bark beetle) in Logatec.

Between June and July we collected empirical data for WP2 on forest recovery after severe damages from ice storm and bark beetle (Ips typographus), followed by salvage logging. We performed the measurements…

Continue ReadingWP2 : Slovenia : collection of empirical data on forest recovery after multiple disturbances (ice-storm in 2014 and following bark beetle) in Logatec.

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.

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. https://doi.org/10.3390/f11050531

Continue ReadingA 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.

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.

The importance of the article for the I-MAESTRO Project:Site productivity and forest growth are critical inputs into projecting wood volume and biomass accumulation over time. Most of the previous research…

Continue ReadingA 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.

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

The importance of the article for the I-MAESTRO Project:Forest disturbances as one of the main topics of I-MAESTRO. The paper present the results of the research conducted at one of…

Continue ReadingA 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