Improving Growth and Yield Predictions Using Combined Tree Based Models

Growth and yield predictions are the basis of all forest management activities. The intern will conduct advanced research with the intention of improving growth and yield predictions by combining traditional models with a process-based stand development model. Typically, process-based models are more complicated and require special data as input and are difficult to use. Traditional growth and yield models are simple to use but often rely on extensive field measurement over long-periods of time.

Modelling the Growth and Quality of Crop Trees 20 Years After an Operation of Average Thinning in a Stand of Tolerant Hardwoods in New Brunswick

The goal of this research project is to study the impact of average spacing between trees in terms of the growth and the quality of the trees. This practice, called pre-commercial thinning, was performed at four different spacings of 2.1, 2.3, 2.5, and 2.8m, and an unthinned plot was left as a control. An initial phase of analysis examined separately the effects on the growth and on the quality of the trees. A second phase will focus on the best trees and will examine the residual density which offers the best diameter growth and tree quality.

A Physically-based Approach to Dynamically Model Hydrological Sensitive Areas and Run-off Source Area Contributions in Snowmelt-dominated Catchments

Alberta-Pacific Forest Industries Inc. is a leading producer of quality kraft pulp. Working with the company, the intern will develop a field-based conceptualization of snowmelt run-off source area dynamics with particular attention given to process-controls, spatial hydraulic connectivity, the importance of geomorphology and the influence of forest cover removal.

Evaluating Forest Machine Operator Musculoskeletal Health

The intern will conduct a detailed cross-sectional study of ergonomic issues impacting operators of typical tree-harvesting machines used in Atlantic Canada. Operators from forest products companies will be recruited for this study. Data will be collected from structured interviews, field testing and simulated forest machine tasks.

Boreal Forest Mortality Modelling

The intern will collect data on tree mortality in the company's woodlands and develop equations to predict mortality rates from tree growth or forest age and composition. Mortality rates for white spruce have been particularly difficult to obtain due to overall low levels and sporadic occurrence of tree death. This project provides an interesting alternative broad survey approach to mortality compared to the present permanent sample plot (tag and re-measure) program. It will also aid the company with modelling the yield of mixed-wood forests.

Analysis of Resistance to Mountain Pine Beetle in Clonal Lodgepole Pines: An Opportunity to Guide the Choice of Cultivars for Planting a More Beetle-resistant Forest

The current major outbreak of mountain pine beetle (MPB) in the central interior of BC has prompted research into planning of a future forest that is more resistant to this insect. In the summer of 2005, a lodgepole pine seed orchard was infested by MPB. The orchard contains many clones and the clones are packed in regular rows in a randomized fashion.