Assessment of indicators for climate smart management in mountain forests

Del Rio, M. (author), Pretzsch, Hans (author), Bončina, Andrej (author), Avdagić, Admir (author), Bielak, Kamil (author), Binder, Franz (author), Coll, Lluis (author), Hilmers, Torben (author), Höhn, Maria (author), Kašanin-Grubin, Milica (author), Klopčič, Matija (author), Neroj, Bozydar (author), Pfatrisch, M. (author), Stajić, Branko (author), Stimm, K. (author), Uhl, Enno (author)

This chapter addresses the concepts and methods to assess quantitative indicators of Climate-Smart Forestry (CSF) at stand and management unit levels. First, the basic concepts for developing a framework for assessing CSF were reviewed. The suitable properties of indicators and methods for normalization, weighting, and aggregation were summarized. The proposed conceptual approach considers the CSF assessment as an adaptive learning process, which integrates scientifc knowledge and participatory approaches. Then, climate smart indicators were applied on long-term experimental plots to assess CSF of spruce-fr-beech mixed mountain forest. Redundancy and trade-offs between indicators, as well as their sensitivity to management regimes, were analyzed with the aim of improving the practicability of indicators. At the management unit level, the roles of indicators in the different phases of forest management planning were reviewed. A set of 56 indicators were used to assess their importance for management planning in four European countries. The results indicated that the most relevant indicators differed from the set of Pan-European indicators of sustainable forest management. Finally, we discussed results obtained and future challenges, including the following: (i) how to strengthen indicator selections and CSF assessment at stand level, (ii) the potential integration of CSF indicators into silvicultural guidelines, and (iii) the main challenges for integrating indicators into climate-smart forest planning.

• Language: English
• Keywords: SDG 15, climate-smart forestry, CLIMO, forestry management, assessment of indicators
• 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. 59-105
• PID: 20.500.12556/RUL-133424
• UDC: 630*61+630*22:630*111
• DOI: 10.1007/978-3-030-80767-2_3
• COBISS.SI-ID: 86686467
• Publication date in RUL: 26.11.2021

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, ocena kazalnikov