A timber harvesting model for Austria

A Forest Management Map of European Forests

“…For the abiotic conditions, we selected the slope (c) as the important decision variable. The slope sets important constraints on the applicability of intensive silvicultural operations (Sterba et al 2000). Two types of proximity maps ) were used as a proxy for socioeconomic conditions.…”

“…Small-scale proximity (d), defined as distance to cities of at least 25,000 inhabitants, represented recreation pressure. The large-scale proximity (e), i.e., to cities of at least 750,000 inhabitants, was considered a proxy for distance to major wood-working industries (Sterba et al 2000, Beach et al 2005. Additionally, we used the percentage of the pixel covered by forest (f) (Schuck et al 2002) and stand area (g) (Brus et al 2012) as a proxy for the economic feasibility of intensive forestry (Beach et al 2005).…”

Mapping wood production in European forests

“…The literature review focussed on understanding the harvesting behaviour of forest owners (Beach et al, 2005;Bolkesjo et al, 2007;Butler, 2006;Favada et al, 2009;Stordal et al, 2008;Vokoun et al, 2006;Adams et al, 1991;Araño and Munn, 2006), as well as on wood supply in more general terms (Sterba et al, 2000;Verkerk et al, 2011). Based on our review and data availability for the entire study área, 16 potential location factors influencing the likelihood of harvest were identified, as well as a priori assumptions with regards to the direction of influence of each location factor on harvesting likelihood (Table 1).…”

Modelling changes in roe deer habitat in response to forest management

“…Removal probabilities for individual trees in stands selected for thinning were based on removal percentages in relative dbh-classes observed for thinning in Austria (Sterba et al, 2000). For the clear-cut scenario we selected stands with a minimum age of 100 years, harvesting the oldest stands first.…”