Clustering-based typology and analysis of private small-scale forest owners in Slovenia |
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| Affiliation: | 1. Research Centre of the Slovenian Academy of Sciences and Arts, Anton Melik Geographical Institute, Gosposka ulica 13, 1000 Ljubljana, Slovenia;2. University of Ljubljana, Faculty of Computer and Information Science, Večna pot 113, 1000 Ljubljana, Slovenia;1. School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, Länggasse 85, 3052 Zollikofen, Switzerland;2. CERE, Center of Environmental and Resource Economics and Department of Forest Economics, Swedish University of Agricultural Sciences, SLU, 901 83 Umeå, Sweden;1. Inverness College UHI, Inverness Campus, Inverness IV2 5NA, UK;2. Scotland''s Rural College (SRUC), Peter Wilson Building, Kings Buildings, West Mains Road, Edinburgh EH9 3JG, UK;3. The Centre for Mountain Studies, Perth College UHI, Webster Building, Perth, UK;1. Forest and Nature Conservation Policy Group & Team Vegetation, Forest & Landscape Ecology & Biometris, Wageningen UR. Droevendaalsesteeg 3a, 6708 PB Wageningen, The Netherlands;2. Salzburg University of Applied Sciences, Society and Innovation Research Group, Urstein Süd 1, 5412 Puch/Salzburg, Austria;3. Swedish University of Agricultural Sciences, Inst för sydsvensk skogsvetenskap, Box 49, 23053 Alnarp, Sweden;4. Joint Research Centre, Forest, Via Enrico Fermi, 2749, 21027 Ispra, VA, Italy |
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| Abstract: | Small-scale private forest owners (SPFO) have been recognized as a relatively heterogeneous social group; therefore typology and classification have become key to describe their characteristics and differences. Most of Slovenian forest is owned by SPFOs. To understand why these forest estates are relatively poorly managed, the owners' values and objectives were analysed. We conducted a questionnaire-based survey (n=387) and based our typology on three values and four management variables. The typology was constructed automatically, using the k-medoids clustering algorithm. Clustering resulted in two clusters, which were our basis for two types of owners: “engaged” and “detached”. We analysed these two types through socio-economic and broader geo-spatial perspectives. We found that multi-objective orientation and high valuation of production function are positively related to active forest management and to the likelihood that the forest will be managed in the future. Conversely, higher value to environmental and social function corresponds to lower management levels. Spatial patterns of owners residencies and forest estates influence managing decisions. Results confirm the importance of spatial factors and owner values and objectives for understanding forest management. |
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