AI4 Trees – AI for climate sensitive tree growth modelling

Anita Zolles; Silvio Schüler; Jasmin Lampert; Refiz Duro; Günther Bronner; Hanns Kirchmeir; Anahid Naghibzadeh-Jalali; Windisch Andreas

AI4 Trees – AI for climate sensitive tree growth modelling

Anita Zolles, Silvio Schüler, Jasmin Lampert, Refiz Duro, Günther Bronner, Hanns Kirchmeir, Anahid Naghibzadeh-Jalali, Windisch Andreas

Publikation: Posterpräsentation ohne Beitrag in Tagungsband › Posterpräsentation ohne Eintrag in Tagungsband › Begutachtung

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Abstract

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.

Originalsprache	Englisch
Seitenumfang	1
Publikationsstatus	Veröffentlicht - 10 Nov. 2022

Research Field

Ehemaliges Research Field - Societal Resilience & Security
Ehemaliges Research Field - Data Science

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

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Poster_AI4TREES_2022Endgültige, publizierte Fassung, 1,26 MB

AI for Climate Sensitive Tree Growth Modelling and Maximum Carbon Segregation
Lampert, J. (Vortragender)
25 Sept. 2023
Aktivität: Vortrag ohne Tagungsband / Vorlesung › Präsentation auf einer wissenschaftlichen Konferenz / Workshop

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title = "AI4 Trees – AI for climate sensitive tree growth modelling",

abstract = "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.",

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T1 - AI4 Trees – AI for climate sensitive tree growth modelling

AU - Zolles, Anita

AU - Schüler, Silvio

AU - Lampert, Jasmin

AU - Duro, Refiz

AU - Bronner, Günther

AU - Kirchmeir, Hanns

AU - Naghibzadeh-Jalali, Anahid

AU - Andreas, Windisch

PY - 2022/11/10

Y1 - 2022/11/10

N2 - 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.

AB - 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.

M3 - Poster presentation without proceedings

ER -

AI4 Trees – AI for climate sensitive tree growth modelling

Abstract

Research Field

UN SDGs

Zugriff auf Dokument

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Aktivitäten

AI for Climate Sensitive Tree Growth Modelling and Maximum Carbon Segregation

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