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

Povzetek

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.

Ključne besede

gorski gozdovi;sonaravno gozdarstvo;podnebno pametno gozdarstvo;modeliranje;SDG 15;climate-smart forestry;CLIMO;forestry management;modelling;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.16 - Samostojni znanstveni sestavek ali poglavje v monografski publikaciji
Organizacija: UL BF - Biotehniška fakulteta
UDK: 630*61+630*22:630*111
COBISS: 86700547 Povezava se bo odprla v novem oknu
Matična publikacija: Climate-smart forestry in mountain regions
Št. ogledov: 305
Št. prenosov: 107
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: gorski gozdovi;sonaravno gozdarstvo;podnebno pametno gozdarstvo;modeliranje;
Strani: Str. 223-262
DOI: 10.1007/978-3-030-80767-2_7
ID: 14031820