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Ten-year diameter and basal area growth were determined for partially cut stands at 4 locations. Average diameters in the partially cut plots generally increased by 1 inch or more, while average diameter in the uncut controls increased by 0.9 inches or less. Individual tree growth is discussed in relation to potential susceptibility to mountain pine beetle infestation. Basal area increases ranged from 0.9 to 1.9 ft2/acre/ yr in partially cut plots, while basal area increases in the control plots ranged from 0.4 to 1.4 ft2/acre/yr. Endemic mountain pine beetle infestations and snow breakage accounted for most of the mortality on the plots, which decreased the residual basal area and basal area growth. Increases in basal area are used to estimate the length of time required for various stand densities to reach the susceptibility thresholds for mountain pine beetle infestation. Stand marking may influence future susceptibility to beetle infestations.
The mountain pine beetle (Dendroctonus ponderosae Hopkins) is the most destructive insect of mature pine forests in western North America. From a forest management perspective, estimates of the location and extent of mountain pine beetle red-attack are critical; however, the degree of precision required for these estimates varies according to the management objective under consideration and the nature of the mountain pine beetle infestation. This report describes a study to explore the potential of single-date SPOT multispectral imagery to detect and map mountain pine beetle red-attack damage in an area with relatively low infestation levels using an automated classification procedure. In doing so, issues unique to SPOT, and the potential offered by the higher spatial resolution of SPOT compared with Landsat, could be identified. The viability of SPOT as an alternative data source to Landsat could then be assessed.
This study is part of a series of research papers that explore the biological, social, and economic aspects of British Columbia's mountain pine beetle epidemic. The objective of this study is to compare two different approaches for calculating beetle pressure, and to assess the impact these approaches have on the subsequent calculation of risk ratings. To meet this objective, beetle pressure was calculated using the traditional distance-based model, as well as using an alternative density-based model, implemented with a Voronoi tessellation generated from helicopter-GPS point survey data of known beetle infestation locations.--Includes text from document.