Date of Completion
5-12-2019
Embargo Period
10-22-2019
Advisors
Dr. Robert Fahey, Dr. Jason Parent, Dr. Kurt Riitters
Field of Study
Natural Resources
Degree
Master of Science
Open Access
Open Access
Abstract
Context For the roadside forest, utility vegetation management is a driver of landscape change that involves tradeoffs between reliable electric power and preservation of trees. Little is known about public perceptions of vegetation management in the landscape context.
Objectives Our objective was to evaluate landscape characteristics and social factors associated with resident attitudes toward roadside utility vegetation management across Connecticut.
Methods We used a mail survey to collect social science data from residents in two study areas in Connecticut. We measured landscape characteristics associated with tree cover and development density at multiple scales around each respondent household. Random forest predictive models were used to assess attitudes toward vegetation management as explained by landscape and social factors.
Results Respondents generally had positive attitudes toward vegetation management, agreeing that it improves public safety and minimizes power outages. Social variables revealed that residents were more likely to have positive attitudes if they had greater knowledge about trees, believed that trees should be used for human benefits, prioritized reduced power outages over forest aesthetics, and considered changes in the roadside forest to be acceptable. Attitudes were not as strongly associated with landscape characteristics.
Conclusions Attitudes toward vegetation management are likely formed by residents in a manner independent of landscape context. Such information is useful for developing strategies to manage stakeholder conflict regarding the roadside forest.
Recommended Citation
Hale, Daniel Connor, "Human Dimensions of Roadside Vegetation Management across the Connecticut Landscape" (2019). Master's Theses. 1349.
https://digitalcommons.lib.uconn.edu/gs_theses/1349
Major Advisor
Dr. Anita Morzillo