Forest enterprise key figure comparison Germany – Austria – Switzerland
The forest enterprise networks in the so-called DACH region (Germany [D], Austria [A] and Switzerland [CH]) have a long tradition going back to the 1950s. Due to different concepts and definitions, however, the national results are not directly comparable. Therefore, the aim of the DACH initiative is to enhance the comparability of national data sets and to draw conclusions for the forestry sector from the comparison of key figures. In order to achieve this, differences between country- specific indicator definitions were first identified and then offset as much as possible. A subsequent key figure analysis showed that certain forestry key figures of the DACH forest enterprise network can be made comparable, revealing the effects of the partially different conditions in the countries. The comparison of key figures over the years 2008 to 2013 shows that the German and Austrian forest enterprises achieved continuous profits in forest management. In contrast, the Swiss forest enterprises were in deficit despite extensive subsidies and compensations. This is partly due to the significantly higher expenses for timber harvesting, silviculture and forest road infrastructure, resulting in part from higher labor costs and in particular a much higher operational personnel density.
In Europe, forest management has controlled forest dynamics to sustain commodity production over multiple centuries. Yet over-regulation for growth and yield diminishes resilience to environmental stress as well as threatens biodiversity, leading to increasing forest susceptibility to an array of disturbances. These trends have stimulated interest in alternative management systems, including natural dynamics silviculture (NDS). NDS aims to emulate natural disturbance dynamics at stand and landscape scales through silvicultural manipulations of forest structure and landscape patterns. We adapted a "Comparability Index" (CI) to assess convergence/divergence between natural disturbances and forest management effects. We extended the original CI concept based on disturbance size and frequency by adding the residual structure of canopy trees after a disturbance as a third dimension. We populated the model by compiling data on natural disturbance dynamics and management from 13 countries in Europe, covering four major forest types (i.e., spruce, beech, oak, and pine-dominated forests). We found that natural disturbances are highly variable in size, frequency, and residual structure, but European forest management fails to encompass this complexity. Silviculture in Europe is skewed toward even-aged systems, used predominately (72.9% of management) across the countries assessed. The residual structure proved crucial in the comparison of natural disturbances and silvicultural systems. CI indicated the highest congruence between uneven-aged silvicultural systems and key natural disturbance attributes. Even so, uneven-aged practices emulated only a portion of the complexity associated with natural disturbance effects. The remaining silvicultural systems perform poorly in terms of retention compared to tree survivorship after natural disturbances. We suggest that NDS can enrich Europe's portfolio of management systems, for example where wood production is not the primary objective. NDS is especially relevant to forests managed for habitat quality, risk reduction, and a variety of ecosystem services. We suggest a holistic approach integrating NDS with more conventional practices.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.