Modelling future growth of mountain forests under changing environments

Bošela, Michal (author), Merganičová, Katarína (author), Torresan, Chiara (author), Cherubini, Paolo (author), Fabrika, M. (author), Heinze, Berthold (author), Höhn, Maria (author), Kašanin-Grubin, Milica (author), Klopčič, Matija (author), Mészáros, Ilona (author), Pach, Maciej (author), Střelcová, Katarina (author), Temperli, Cristian (author), Tonon, Giustino (author), Pretzsch, Hans (author), Tognetti, Roberto (author)

Models to predict the effects of different silvicultural treatments on future forest development are the best available tools to demonstrate and test possible climate-smart pathways of mountain forestry. This chapter reviews the state of the art in modelling approaches to predict the future growth of European mountain forests under changing environmental and management conditions. Growth models, both mechanistic and empirical, which are currently available to predict forest growth are reviewed. The chapter also discusses the potential of integrating the effects of genetic origin, species mixture and new silvicultural prescriptions on biomass production into the growth models. The potential of growth simulations to quantify indicators of climate-smart forestry (CSF) is evaluated as well. We conclude that available forest growth models largely differ from each other in many ways, and so they provide a large range of future growth estimates. However, the fast development of computing capacity allows and will allow a wide range of growth simulations and multi-model averaging to produce robust estimates. Still, great attention is required to evaluate the performance of the models. Remote sensing measurements will allow the use of growth models across ecological gradients.

• Language: English
• Keywords: SDG 15, climate-smart forestry, CLIMO, forestry management, modelling
• Typology: 1.16 - Independent Scientific Component Part or a Chapter in a Monograph
• Organization: BF - Biotechnical Faculty
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: Str. 223-262
• PID: 20.500.12556/RUL-133426
• UDC: 630*61+630*22:630*111
• DOI: 10.1007/978-3-030-80767-2_7
• COBISS.SI-ID: 86700547
• Publication date in RUL: 26.11.2021

BOŠELA, Michal, MERGANIČOVÁ, Katarína, TORRESAN, Chiara, CHERUBINI, Paolo, FABRIKA, M., HEINZE, Berthold, HÖHN, Maria, KAŠANIN-GRUBIN, Milica, KLOPČIČ, Matija, MÉSZÁROS, Ilona, PACH, Maciej, STŘELCOVÁ, Katarina, TEMPERLI, Cristian, TONON, Giustino, PRETZSCH, Hans and TOGNETTI, Roberto, 2022, Modelling future growth of mountain forests under changing environments. In : Climate-smart forestry in mountain regions [online]. Cham. p. 223–262. P. 223–262. [Accessed 25 March 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=133426

Record is a part of a monograph

• Title: Climate-smart forestry in mountain regions
• Editors: Roberto Tognetti, Melanie Smith, Pietro Panzacchi
• Place of publishing: Cham
• Publisher: Springer
• ISBN: 978-3-030-80766-5
• COBISS.SI-ID: 86678787
• Collection title: Managing forest ecosystems (Online)
• Collection numbering: ǂvol. ǂ40
• Collection ISSN: 2352-3956

Secondary language

• Language: Slovenian
• Keywords: gorski gozdovi, sonaravno gozdarstvo, podnebno pametno gozdarstvo, modeliranje