How Quickly do Trees Grow?
by Refiz Duro (Austrian Institute of Technology), Hanns Kirchmeir (E.C.O. Institut für Ökologie Jungmeier), Anita Zolles (Bundesforschungs- und Ausbildungszentrum für Wald, Naturgefahren und Landschaft) and Günther Bronner (Umweltdata)
01.2023
Changing climatic circumstances have a significant impact on forests: besides higher temperatures, more intense and frequent storms and rought spells affect forest growth. To see what the future is bringing, and to be able to deal with forest conservation and management, it is necessary to answer the question “how quickly do trees grow in an environment of climate change?” We take on a challenge to answer this question by integrating state-of-the-art data collection and AI-based methods.
AI4Trees – AI for climate sensitive tree growth modelling
Poster publication from Anita Zolles (BFW), Silvio Schüler (BFW), Jasmin Lampert (AIT), Refiz Duro (AIT), Günther Bronner (UWD), Vanessa Berger (E.C.O.), Hanns Kirschmeir (E.C.O.), Martin Gritsch (GeoVille), Dominic Hewitt (GeoVille), Anahid Jalali (AIT), Andreas Windisch (KnowCenter)
11.2022
Changing climatic circumstances have a significant impact on forests: besides higher temperatures, more intensive and frequent storms and drought spells are major challenges for forest conservation and management in the future. European Forests have been a significant carbon sink within the last decades, allowing for natural carbon dioxide removal from the atmosphere and so aiding in the mitigation of climate change and its consequences. Modelling tree growth is key for better understanding tree health and carbon sequestration.
Natürliche Intelligenz künstlich verstehen (German)
Ein Artikel von Anita Zolles (BFW), Karl Gartner (BFW)
28.10.2022
Über den Baumumfang können vielerlei Rückschlüsse auf Baumgesundheit und Wachstum gemacht werden. Im Zuge des FFG-geförderten Projekts AI4Trees versuchen Forschende nun, mittels künstlicher Intelligenz die natürlichen Vorgänge dahinter besser zu verstehen. Ziel ist neben der Untersuchung von Extremereignissen auch die Identifikation wichtiger Monitoringparameter.