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A harvest failure approach to assess the threat from an invasive species
Authors:Denys Yemshanov  Daniel W McKenney  Peter de Groot  Dennis Haugen  John Pedlar  Derek Sidders  Brent Joss
Institution:1. Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre, 1219 Queen Street East, Sault Ste. Marie, ON, Canada P6A 2E5;2. USDA Forest Service, Northeastern Area, 1992 Folwell Ave., St. Paul, MN 55108, USA;3. Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre 5320 – 122nd Street, Edmonton, AB, Canada T6H 3S5
Abstract:We present the idea of using potential infringements on annual allowable harvest targets as an approach to estimate threats from invasive species to the forest products sector. The approach uses present-day harvest levels as a reference level to estimate when and where the impact of a nonnative forest pest could become economically damaging. We use a generic model that simulates spread and damage by nonnative invasive species, basic harvest and forest growth through time. The concept is illustrated with a case study of a new nonnative invasive pest, Sirex noctilio Fabricius on pine resources in eastern Canada. Impacts of invasion on wood supply, in particular, the point at which present-day harvest levels are not attainable, were identified for 77 non-overlapping geographical regions that delimit the primary wood supply areas around large mills and wood processing facilities in eastern Canada. The results identify the minimum area of a pest outbreak that could trigger harvest shortages (approximately 12.5–14 M ha of pine forests in Ontario and Quebec). Beyond this level, the amount of host resource available for harvesting in any given year declines rapidly. The failure to sustain broad-scale harvest targets may be an attractive and intuitive indicator for policy makers and regulators interested in developing control and “slow-the-spread” programs for non-native forest pests.
Keywords:Sirex noctilio  Bioeconomic model  Nonnative invasive species  Dispersal  Harvest threshold  Spread model
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