20.500.12556/RUL-133424 Assessment of indicators for climate smart management in mountain forests 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. SDG 15 climate-smart forestry CLIMO forestry management assessment of indicators gorski gozdovi sonaravno gozdarstvo podnebno pametno gozdarstvo ocena kazalnikov true false true Angleški jezik Slovenski jezik Neznano 2021-11-26 12:38:46 2021-11-26 12:43:22 2023-01-18 09:22:44 0000-00-00 00:00:00 2022 0 0 Str. 59-105 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 630*61+630*22:630*111 10.1007/978-3-030-80767-2_3 86686467 86678787 https://link.springer.com/chapter/10.1007/978-3-030-80767-2_3 0 569d8f6d-4ead-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151481 RAZ_Del_Rio_M._2022.pdf RAZ_Del_Rio_M._2022.pdf 1 BCF807AF884BB77B3729705565A66353 45e4e8448d312ee1d8d92934e86fbb07779a94102a00734b43ace5970c88329b 04207989-4eae-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151492 Biotehniška fakulteta 0 0 0