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The paper presents a typology of small-scale forest owners in BadenWürttemberg based on multiple criteria and derived using multivariate cluster analysis of long-term accountancy network data. Four distinct types of landholders are identified based on a combination of structural, financial and biophysical data. These groups fit well with the present knowledge on small-scale forest owners in Baden-Württemberg. In addition, the members of each group display clear differences in attitudes towards forestry, giving further support for the validity of the grouping. A comparison is made of this typology and typologies derived using the single criteria of forestry region, forest size class, cutting volume, proportion of coniferous trees, forest income and main source of income. This comparison demonstrates the advantages of using cluster analysis to identify types of smallscale forest owners in south-west Germany. No matter whether structural, natural or financial data are assessed, the multiple criteria typology produced by cluster analysis provides the highest percentage of statistically significant distinctions between the medians of the groups identified. A typology based on the single criterion of 'regions' provides the second best fit and has the advantage of being simple to develop. A more detailed comparison between these two typologies, whereby the differences between groups were analysed based on the links between A. Selter (individual groups in respect to individual variables, also indicated that the multiple criteria typology was superior.

Adequate and accessible expert-based forest information has become increasingly in demand for effective decisions and informed policies in the forest and forest-related sectors in Europe. Such accessibility requires a collaborative environment and constant information exchange between various actors at different levels and across sectors. However, information exchange in complex policy environments is challenging, and is often constrained by various institutional, actor-oriented, and technical factors. In forest policy research, no study has yet attempted to simultaneously account for these multiple factors influencing expert-based forest information exchange. By employing a policy analysis from an actor-centred institutionalist perspective, this paper aims to provide an overview of the most salient institutional and actor-oriented factors that are perceived as constraining forest information exchange at the national level across European countries. We employ an exploratory research approach, and utilise both qualitative and quantitative methods to analyse our data. The data was collected through a semi-structured survey targeted at forest and forest-related composite actors in 21 European countries. The results revealed that expert-based forest information exchange is constrained by a number of compound and closely interlinked institutional and actor-oriented factors, reflecting the complex interplay of institutions and actors at the national level. The most salient institutional factors that stand out include restrictive or ambiguous data protection policies, inter-organisational information arrangements, different organisational cultures, and a lack of incentives. Forest information exchange becomes even more complex when actors are confronted with actor-oriented factors such as issues of distrust, diverging preferences and perceptions, intellectual property rights, and technical capabilities. We conclude that expert-based forest information exchange is a complex and challenging task. It is driven by actors' preferences/interests, perceptions, and capabilities, and is shaped by formal rules and social norms.

In the present study, we examined the impact of the interaction of environmental and task-induced attentional focus on time perception, specifically awareness of the time flow. We tested 48 participants in either a natural or urban setting over three 25-to 35-min sessions. We manipulated the within-subjects factor task by means of two tasks-one requiring directed attention on the task itself, the other undirected attention on the environment-alongside a control condition with no specific task.We measured time awareness, passage of time judgments, felt time judgments, and estimated time as dependent variables. For time awareness, we found an interaction between environment and task: in the natural environment, only a task requiring directed attention reduced time awareness; whereas, in the urban environment, both tasks reduced time awareness compared to the control condition. The results suggest that natural environments increase time awareness unless we focus our attention on a task. K E Y W O R D S directed attention, nature, restorative environments, time awareness, time perception

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