Klemens Schadauer's research while affiliated with Federal Research and Training Centre for Forests, Natural Hazards and Landscape and other places

... Skutečná produkce rostlinných společenstev daného stanoviště však není určena pouze množstvím AFAR, ale i efektivitou přeměny světelné energie na biomasu v rámci procesu fotosyntetické asimilace. Ta je závislá jak na stanovištních podmínkách (dostupnost vody a půdních živin, Cendrero-Mateo et al. 2015;Kumarathunge et al. 2020), tak i na struktuře porostu (index listové plochy -LAI, kvalita asimilačního aparátu, hustota porostu), druhové diverzitě a formě smíšení, které lze plně usměrňovat pěstebními zásahy (Ledermann et al. 2022). ...

... Forest inventories are based on sampling designs that systematically monitor forested conditions over a large geographical extent. Such design-based sampling preclude the emergence of spatial and thus ecological bias when assessing climate-growth relationships and climate change impacts on forests (Charru et al., 2017;DeRose et al., 2017;Evans et al., 2022;Girardin et al., 2016;Klesse et al., 2018;Mérian et al., 2013;Nehrbass-Ahles et al., 2014;Ols et al., 2022). Despite a low number of cored trees per plot, when individual tree-ring samples are crossdated, the lack of replication at the plot level (only one tree sampled in most cases) is by far outweighed by the level of replication in space (gridded inventories) and time (new measurements every year and re-measurements). ...

... Currently, decarbonisation and circular economy policies tend to have a narrow sectoral focus, e.g. on the development of zeroemissions energy generation, afforestation for residual carbon offsetting, or increasing use of renewable materials in place of fossil-fuelderived materials 13 . Yet there appears to be little cross-sectoral integration of these sustainability objectives and little focus on more circular use and recycling of wood as part of a coherent decarbonisation strategy 14,15 . There is, therefore, a need for prospective lifecycle assessment (LCA) with widely-defined (multi-use) boundaries, like the present study, to quantify the additional mitigation potential of implementing CE principles in the forestry value-chain, to provide critical evidence for systemic change necessary to deliver rapid and sustained climate-change mitigation. ...

... As a remedy truncated angle count sampling was suggested. The basic idea of trunked ACS is to limit the plot size of the angle count samples by introducing a maximum plot radius (Berger, et al., 2020;Hauk, et al., 2020). The bene t of this is the reduced eld work and the reduction of the non-detection bias (Tomppo & Tuomainen, 2010). ...

... still sufficient precipitation in the majority of Swiss forests) lead to increased tree growth but also to a faster decomposition of the DOM. Similar forest growth models applied in Europe are not climate sensitive (Barreiro et al., 2016;Vauhkonen et al., 2019) with the assumption that on relatively short time scales of 50 years management effects are more important than climate ones (Perin et al., 2021). For future improvements of MASSIMO, however, the effects of climate change on forest development should be accounted for, as they are becoming increasingly apparent (e.g., Schelhaas et al., 2015;Reyer et al., 2017;Seidl et al., 2017;Rohner et al., 2021). ...

... Economic constraints include market prices, cost-efficiency and the techniques used [11,14,15]. Market prices may not be taken into account in the analysis of harvesting feasibility since they are subject to short-term fluctuations [9]. ...

... Quantifying uncertainty in forest resource projections is a complex challenge and very important in forest management and decision-making. (Schadauer et al. 2017). There are a few studies on the precision of growth predictions (Gertner & Dzialowy 1984, Mowrer and Frayer 1986, Gertner 1987, Mowrer 1991, Kangas 1997, Saltelli et al., 2008Fortin et al., 2009;), but uncertainty in model projections is still not generally addressed. ...

... The number of trees, mean diameter at breast height (DBH), basal area, timber volume, and canopy cover are some of the key parameters for FIs [6]. Since the census of all trees in the forest is generally impossible, FI data are collected from 'representative' sample plots for calculating these parameters. ...

... Despite doubts in the reliability of visual appraisals of external quality features , several studies demonstrated the potential for stem grading of standing trees (Eckmüllner et al., 2007;Rais et al., 2014;Power and Havreljuk, 2016;Malinen et al., 2018). The assortment models by Petráš and Nociar (1990, 1991a, 1991b, Mecko et al. (1993), and Petráš and Mecko (1995) are based on a large sample material collected across Slovakia and were applied in a case study using an independent data set from Czech Republic (Vidal et al., 2016c). Nevertheless, a transnational application of stem quality models on larger areas is at present complicated by the existing differences in national timber trade regulations and different wood quality-related assessments of NFIs Power and Havreljuk, 2016). ...

... However, biomass energy potential is estimated and managed by including economic, technical, social, and environmental aspects on a regional scale [14]. Due to the growing demand for RES in the EU, questions regarding the amount of biomass potential from forests determined on a regional scale have become valid from the regional to European level [15]. ...