2015
DOI: 10.1007/s11842-015-9287-9
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Understanding the Characteristics of Non-industrial Private Forest Landowners Who Harvest Trees

Abstract: Achieving regional and national goals of renewable energy production will depend on sufficient supply of biomass from private forests, the majority of which are controlled by non-industrial private forest landowners (NIPF). Considering the diversity in management objectives and changing demographic dynamics in this ownership group, it is important to understand the characteristics of landowners that may supply woody biomass. This study developed linear discriminant analysis (LDA) and classification tree (CT) m… Show more

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Cited by 16 publications
(8 citation statements)
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“…One critical assumption was that land harvested or thinned in a specific ecosystem in a given year would be the result of the total area of a broad forest type harvested in that year according to the SRTS model, modified by the proportion of land in the specific ecosystem. That assumption is likely an oversimplification, and there are other factors that contribute to the likelihood of harvest, such as proximity to a biomass processing facility and landowner demographics (Evans et al, 2013;Dorning et al, 2015;Young et al, 2015). Refining the spatial distribution of land-use conversions and management actions will be important for better understanding the potential effects on ecosystems.…”
Section: Discussionmentioning
confidence: 99%
“…One critical assumption was that land harvested or thinned in a specific ecosystem in a given year would be the result of the total area of a broad forest type harvested in that year according to the SRTS model, modified by the proportion of land in the specific ecosystem. That assumption is likely an oversimplification, and there are other factors that contribute to the likelihood of harvest, such as proximity to a biomass processing facility and landowner demographics (Evans et al, 2013;Dorning et al, 2015;Young et al, 2015). Refining the spatial distribution of land-use conversions and management actions will be important for better understanding the potential effects on ecosystems.…”
Section: Discussionmentioning
confidence: 99%
“…Researchers typically have relied on logistic regression to model forest landowner management decisions due to the categorical nature of dependent variable (e.g., harvest or not harvest) [14,36,[41][42][43][44]. Since our study also involves modeling the landowner's level of interest, as measured by a Likert scale, a multivariate logistic regression was used.…”
Section: Empirical Modelmentioning
confidence: 99%
“…The largest share (86%) of timberland in the southeastern USA (both natural and planted) is privately owned by corporations and families, who are responsible for 96% of large roundwood harvesting . Market forces can influence private landowner decisions on forest management and harvest …”
Section: Introductionmentioning
confidence: 99%