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Social availability of residual woody biomass from nonindustrial private woodland owners in Minnesota and Wisconsin
Affiliation:1. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal;2. ISEL, IPL, Rua Conselheiro Emídio Navarro, 1959-007 Lisboa, Portugal;1. Department of Earth Sciences, Montana State University, Bozeman, MT 59715 USA;2. Division of Humanities, Arts, and Social Sciences, Colorado School of Mines, Golden, CO 80401 USA;1. Department of Agricultural Extension, Communication and Rural Development, University of Zanjan, Zanjan, Iran;2. Khuzestan Agricultural Sciences and Natural Resources University, Mollasani, Ahvaz, Iran;3. Risk, Policy and Vulnerability Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria;4. Institute for Environmental Decisions (ETH) Zurich, Zurich, Switzerland;1. Department of Forest Biomaterials and Technology, Faculty of Forestry, Swedish University of Agricultural Sciences, 90183 Umeå, Sweden;2. Department of Chemical Engineering, School of Engineering, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain;1. Department of Wood Science, University of British Columbia, 2943-2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada;2. Department of Wood Science, University of British Columbia, 2931-2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada;3. Alex Fraser Research Forest at The University of British Columbia, 72 South 7th Avenue, Williams Lake, BC V2G 4N5, Canada
Abstract:An important and potentially underused source of biomass that could be utilized in energy production is from nonindustrial private woodlands. We employ the Theory of Planned Behavior to estimate the social availability of woody biomass as a function of landowner behavior intent, landowner characteristics, forest land characteristics, and biomass price on stated willingness to harvest biomass in conjunction with a commercial timber harvest. A mail survey was administered to 1109 nonindustrial private woodland owners in a 26-county region in northeast Minnesota and northwest Wisconsin during the fall of 2009. Using binary logistic regression, we found payment level offered to harvest biomass plays a significant role in landowners' decisions, but that non-monetary factors are also important. Landowner attitudes and opinions regarding soil impacts, aesthetics, and energy independence were important predictors of stated willingness to harvest. Social norms as manifested through the influence of neighbors were also significant. These findings expand existing research and are useful for profiling nonindustrial private woodland owners to identify sustainable sources of biomass to supply a burgeoning bioenergy sector in the Lake States.
Keywords:Nonindustrial woodland owners  Biomass supply  Theory of Planned Behavior  Behavior intent  Logistic regression
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