title: Mapping threats to power line corridors for Connecticut rights-of-way management.
abstract: Trees are a major threat to power line security across forested regions of the world. We developed a decision support system for identifying locations in Connecticut, USA where trees have grown tall enough to make contact with transmission lines during storms. We used the Random Forest algorithm, danger tree presence/absence data, and 25 raster environmental datasets to develop (1) an understanding of the abiotic environmental settings that host danger trees and (2) a spatially explicit map of danger tree distributions across Connecticut power line corridors. Danger trees were prevalent in locations (1) with an infrequent history of storms; (2) forested and residential land uses; and (3) low to middle elevations. Products from this research can be transferred to adaptive right-of-way management because they present managers with key information on where danger trees are likely to occur, and the methods presented herein have great potential for future application to other regions managers seek to identify high priority areas for danger tree removal.
authors.affiliation: Yale School of Forestry and Environmental Studies, New Haven, CT 06511, USA. hpoulos@wesleyan.edu
authors.forename: H M
authors.initials: HM
authors.lastname: Poulos
authors.forename: A E
authors.initials: AE
authors.lastname: Camp
mesh_terms: D003237:Connecticut; D003247:Conservation of Natural Resources; D003661:Decision Support Techniques; D017753:Ecosystem; D004559:Electric Wiring / Q000706:statistics & numerical data*; D016468:Forestry / Q000379:methods*; D040362:Geographic Information Systems; D011210:Power Plants / Q000706:statistics & numerical data*; D012308:Risk Management / Q000379:methods*; D014197:Trees / Q000254:growth & development*; D014887:Weather; D014919:Wind