2020
DOI: 10.1007/s10980-020-01078-6
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Landscape characteristics and social factors influencing attitudes toward roadside vegetation management

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Cited by 19 publications
(14 citation statements)
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“…A combination of Connecticut's high proportion of forest cover (72.6% of the state, [62]) and high population density (285 people/km 2 , [63]) results in the state having the greatest proportion of wildland-urban interface in the US (65.6%, [14]). Four geographically distinct study areas in Connecticut ( Figure 1) were selected based on discussions with project partners and interviews with utility employees (n = 7; author unpublished data); additional criteria included current utility provider, distribution across an urban-rural gradient, ongoing issues with vegetation-influenced power outages, and current or recent utility vegetation management activity along roadsides in that location [46].…”
Section: Study Areamentioning
confidence: 99%
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“…A combination of Connecticut's high proportion of forest cover (72.6% of the state, [62]) and high population density (285 people/km 2 , [63]) results in the state having the greatest proportion of wildland-urban interface in the US (65.6%, [14]). Four geographically distinct study areas in Connecticut ( Figure 1) were selected based on discussions with project partners and interviews with utility employees (n = 7; author unpublished data); additional criteria included current utility provider, distribution across an urban-rural gradient, ongoing issues with vegetation-influenced power outages, and current or recent utility vegetation management activity along roadsides in that location [46].…”
Section: Study Areamentioning
confidence: 99%
“…Social science data were collected from the Northeast and Southwest study areas in 2017 [46], and the Northwest and Southeast study areas in 2019. Data were collected using a mail survey, which consisted of questions that addressed five main topics: experiences with power outages, attitudes toward roadside vegetation management, roadside tree and forest management preferences, knowledge about trees and tree health, and background information including individual relationship with the environment and sociodemographics.…”
Section: Data Collectionmentioning
confidence: 99%
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