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

Abstract

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.

Keywords

gorski gozdovi;sonaravno gozdarstvo;podnebno pametno gozdarstvo;ocena kazalnikov;SDG 15;climate-smart forestry;CLIMO;forestry management;assessment of indicators;

Data

Language: English
Year of publishing:
Typology: 1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization: UL BF - Biotechnical Faculty
UDC: 630*61+630*22:630*111
COBISS: 86686467 Link will open in a new window
Parent publication: Climate-smart forestry in mountain regions
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Downloads: 102
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Other data

Secondary language: Slovenian
Secondary keywords: gorski gozdovi;sonaravno gozdarstvo;podnebno pametno gozdarstvo;ocena kazalnikov;
Pages: Str. 59-105
DOI: 10.1007/978-3-030-80767-2_3
ID: 14031818