Benefit–cost analysis of vegetation management alternatives: an Ontario case study

dc.contributor.authorLuckai, Nancy J
dc.contributor.authorHomagain, Krishnahari
dc.contributor.authorShahi, Chander
dc.contributor.authorLeitch, Mathew
dc.contributor.authorBell, F. Wayne
dc.date.accessioned2016-10-28T16:23:53Z
dc.date.available2016-10-28T16:23:53Z
dc.date.issued2011
dc.descriptionThis is the publisher’s version of a work published in The Forestry Chronicle 87:2 (2011) The version on the publisher's website can be viewed at http://pubs.cif-ifc.org/doi/abs/10.5558/tfc2011-013en_US
dc.description.abstractVegetation management practices are an integral component of forest management. In this paper, we report results of stand-level benefit–cost analyses of 12 vegetation management treatments applied at six study sites in northern Ontario. Forest Vegetation Simulator (FVSOntario) was used to project gross total and merchantable volumes to 70 years of age, and BUCK-2 was used to optimize potential products. Net present value (NPV), benefit–cost ratio (BCR), and internal rate of return (IRR) were calculated using 2009 constant dollars and variable real discount rates. Aerial herbicide treatments produced the highest NPV, BCR, and IRR. Internal rates of return of 4.32%, 2.90%, 2.82% and 2.50% for aerial herbicide, manual brush cutting, ground-applied herbicide, and brush cutting plus herbicide treatments, respectively, indicated that all of the vegetation management alternatives evaluated are economically viable.en_US
dc.identifier.citationThe Forestry Chronicle, 2011, 87(2): 260-273, http://dx.doi.org/10.5558/tfc2011-013en_US
dc.identifier.urihttp://dx.doi.org/10.5558/tfc2011-013
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/795
dc.language.isoen_USen_US
dc.subjectForest economicsen_US
dc.subjectHerbicidesen_US
dc.subjectForest managementen_US
dc.subjectForest Vegetation Simulator (FVSOntario)en_US
dc.titleBenefit–cost analysis of vegetation management alternatives: an Ontario case studyen_US
dc.typeArticleen_US

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