Comparison of Attitudes towards Roadside Vegetation Management across an Exurban Landscape

Steven DiFalco and Anita T. Morzillo
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Steven DiFalco: Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269-4087, USA
Anita T. Morzillo: Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269-4087, USA

Land, 2021, vol. 10, issue 3, 1-16

Abstract: Exurban development is the fastest growing land use across the United States (US). Its prevalence on the East Coast is susceptible to natural disaster events such as hurricanes and nor’easters. However, the socio-ecological processes related to disaster mitigation within exurban areas remain understudied. Our objective was to integrate social and landscape data to compare resident attitudes towards utility roadside vegetation management across four areas in the state of Connecticut, US. We collected data from residents using two mail surveys completed in 2017 and 2019 ( n = 1962). From the survey questions, three attitude variables measured perceptions of the utility vegetation management process, and tradeoffs between protecting trees and maintaining reliable power. Across all locations, respondents with more favorable attitudes toward vegetation management were more likely to have greater knowledge about trees, and beliefs that trees should be used for human benefit; land cover characteristics and sociodemographic variables were less strongly associated with attitudes scores. Respondents differed among study areas in their preferences for aesthetics of roadside trees and their basic beliefs regarding the importance of trees. The results suggested that social processes within the exurban landscapes are spatially heterogeneous. Therefore, local variation in residential preferences for vegetation management may influence support for natural disaster management policy.

Keywords: human dimensions; exurban landscapes; vegetation management; natural disasters; natural resource management; storms (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
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