资源环境科技发展态势分析平台

We examined broad-scale patterns in family forest owners' decisions to use estate planning and conservation tools, and participate in preferential tax programs in eight forested landscapes of the United States. We focused our analyses on patterns across regions and states, and scrutinized the impacts of adding regional and state fixed effects to discrete choice models of owner behaviors. We used chi-square testing and binary discrete choice models to analyze mail-survey responses collected from landowners. Our exploratory research revealed distinct broad-scale patterns by owner decision, with the strongest evidence of state and regional variation in owner participation in preferential tax programs and some evidence of such variation in decisions to use wills and trusts. In contrast, we detected no such differences when examining decision-making about conservation easements across regions or states. Our findings in support of state and regional effects suggest forested landscape contexts beyond owner and parcel characteristics matter and could potentially drive differences in behaviors and forest outcomes. Measures of regional and state fixed effects can provide useful information about contextual differences across forested landscapes, such as differences in public programs and engagement aimed at owners. They can also inform the appropriateness of transferring insights across landscapes. Building on these findings, we share guidance for future data collection and research, including how improved monitoring and greater consideration of contextual factors beyond individual and ownership characteristics could enhance understanding of family forest owner decision-making and landscape change.