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A critical comparison of typologies of small-scale forestry in Baden-Württemberg derived using single and multiple criteria
Journal article   Peer reviewed

A critical comparison of typologies of small-scale forestry in Baden-Württemberg derived using single and multiple criteria

A Selter, C Hartebrodt, H Brandl and John L Herbohn
Small-scale Forestry, Vol.8(1), pp.25-42
2009
url
https://doi.org/10.1007/s11842-008-9066-yView
Published Version

Abstract

accountancy networks forest owners multivariate cluster analysis Black Forest
The paper presents a typology of small-scale forest owners in Baden-Württemberg 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 small-scale 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 individual groups in respect to individual variables, also indicated that the multiple criteria typology was superior.

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