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MODELLING WINDTHROW RISK IN COASTAL VARIABLE RETENTION USING TREE, NEIGHBOURHOOD, AND STAND ATTRIBUTES. 47 Table 10: Clayoquot models using tree, neighbourhood, and stand variables (Dataset 1 n=608, Dataset 2 n=607) 55 Table 11: STEMS models using tree, neighbourhood and stand variables (Dataset 1 n=942, Dataset 2 n=949) 57 Table 12.

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By Robyn Elizabeth Scott A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTERS OF SCIENCE IN FORESTRY in THE FACULTY OF GRADUATE STUDIES (FORESTRY) We accept this thesis as conforming to the required standard. Variables, coefficients, and odds-ratios for the best-fit logistic regression models at the Clayoquot and STEMS study site 59 v LIST OF FIGURES Figure 1.

<b>Oregon</b> <b>Scientific</b> <b>SE300</b> <b>user</b> <b>manual</b> -

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THE UNIVERSITY OF BRITISH COLUMBIA May 2005 © Robyn E. Area harvested using retention silviculture systems (bar) as a proportion of total area harvested (0) in the Vancouver Forest Region over the past four years 2 Figure 2.

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Scott, 2005 ABSTRACT The adoption of the retention system in much of coastal British Columbia, Canada, has brought with it concern over the windfirmness of the retained trees. Map of Vancouver Island showing location of two study areas; a) detailed map of Snowden Forest and STEMS block locations; b) detailed map of Clayoquot block locations 27 Figure 3.

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