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.
journal_name
Environ Managejournal_title
Environmental managementauthors
Poulos HM,Camp AEdoi
10.1007/s00267-010-9580-5subject
Has Abstractpub_date
2011-02-01 00:00:00pages
230-8issue
2eissn
0364-152Xissn
1432-1009journal_volume
47pub_type
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