20.500.12556/RUL-133425 National forest inventory data to evaluate climate-smart forestry National Forest Inventory (NFI) data are the main source of information on forest resources at country and subcountry levels. This chapter explores the strengths and limitations of NFI-derived indicators to assess forest development with respect to adaptation to and mitigation of climate change, that is, the criteria of Climate-Smart Forestry (CSF). We refect on harmonizing NFI-based indicators across Europe, use literature to scrutinize available indicators to evaluate CSF, and apply them in 1) Switzerland, where CSF is evaluated for NFI records and simulation model projections with four management scenarios; 2) 43 selected European countries, for which the indicators for Sustainable Forest Management (SFM) are used. The indicators were aggregated to composite indices for adaptation and mitigation and to an overall CSF rating. The Swiss NFI records showed increased CSF ratings in mountainous regions, where growing stocks increased. Simulations under business-as-usual management led to a positive CSF rating, whereas scenarios of increased harvesting decreased either only adaptation or both mitigation and adaptation. European-level results showed increases in CSF ratings for most countries. Negative adaptation ratings were mostly due to forest damages. We discuss the limitations of the indicator approach, consider the broader context of international greenhouse gas reporting, and conclude with policy recommendations. SDG 15 climate-smart forestry CLIMO forestry management national forest inventory data gorski gozdovi sonaravno gozdarstvo podnebno pametno gozdarstvo podatki nacionalne gozdne inventure true false true Angleški jezik Slovenski jezik Neznano 2021-11-26 12:38:52 2021-11-26 12:44:31 2023-01-18 09:24:33 0000-00-00 00:00:00 2022 0 0 Str. 107-139 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 630*61+630*22:630*111 86692611 86678787 https://link.springer.com/chapter/10.1007/978-3-030-80767-2_4 0 590dfca9-4ead-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151483 RAZ_Temperli_Cristian_2022.pdf RAZ_Temperli_Cristian_2022.pdf 1 C57B3B358EA8080BDCEFA493F02CE15E d702e4a99f4ba778d25292992f66ffb4e1feddb9ce3442f328a160359325a4c9 2c8a3d17-4eae-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=151493 Biotehniška fakulteta 0 0 0