A Critical Comparison of Typologies of Small-Scale Forestry in Baden-Württemberg Derived Using Single and Multiple Criteria

Abstract

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.

Implications of landholders’ management goals, use of information and trust of others for the adoption of recommended practices in the Wet Tropics region of Australia

“…The 'economic' factor identified by others relate closely to the 'instrumental' values of Gasson (1973). Similar broad categories of goals have been reported by those researching landholders' vegetation management goals in Australia (Emtage, Harrison, & Herbohn, 2001;Crase & Maybery, 2003;Herbohn, Emtage, Harrison, & Smorfitt, 2005;Jennings & van Putten, 2006) and in Europe (Boon, Meilby, & Thorsen, 2004;Karppinen, 1998;Kuuluvainen, Karppinen, Ovaskainen, 1996;Selter, Hartebrodt, Brandl, & Herbohn, 2009;Wiersum, Elands, & Hoogstra, 2005).…”

Exploring the diversity of urban and peri-urban agricultural systems in Sudano-Sahelian West Africa: An attempt towards a regional typology

“…location) is determined by the quality of the available data set (Selter, Hartebrodt, Brandl, & Herbohn, 2009). Likewise, the quality of a typology depends on the choice of the appropriate clustering method and on the quality of the data (Emtage, Harrison, & Herbohn, 2006;Gelbard et al, 2007).…”

Adaptation of Periurban Cattle Production Systems to Environmental Changes: Feeding Strategies of Herdsmen in Southern Benin

“…These results imply that the probability that a farm moves from its current location increases with its proximity to the nearest urban center and its non-integration with agriculture and/or tree plantation. The decision to apply multivariate statistical methods or simply to stratify using a single criterion is determined by the quality of all available data (Selter et al, 2009). Similarly, the quality of a classification depends on the choice of the appropriate method of classification and data quality (Emtage et al, 2006;Gelbard et al, 2007).…”