Canadian Forest Service Publications

Perspectives in growth and yield research: the need to establish relations with other disciplines. 1993. Larocque, G.R. Pages 83-96 in C.-H. Ung, editor. International Workshop on Forest Growth Models and Their Uses, November 18-19, 1993, Quebec City, Quebec. Natural Resources Canada, Canadian Forest Service, Petawawa National Forestry Institute, Chalk River, Ontario.

Year: 1993

Available from: National Capital Region

Catalog ID: 10793

Language: English

CFS Availability: Order paper copy (free)

Abstract

Growth and yield studies have focused on studying the growth of natural and articifical forests, developing methodologies to provide growth information and evaluate site productivity, measuring the effect of silvicultural treatments, and developing empirical growth and yield prediction models. The primary objective has been to assess timber supplies for commercial use. Today, however, forest managers must meet the twin challenges of increasing productivity and improving management practices while the forests are increasingly affected by environmental stress caused by particulate pollution and climate change. There are also constraints due to public concerns about environmental issues. As a result, a better understanding of the complex ecological processes that govern tree and stand growth is required. Traditional growth and yield studies cannot by themselves face these new constraints. They must evolve and establish links with other environmental disciplines such as stand dynamics, tree physiology, and soil science, and an integrated approach must be adopted to improve management practices and to understand and predict the effects of natural and man-caused disturbances. In theory, this integrated approach can best be applied by undertaking fundamental research to deal with the complex problems involved. However, forest managers can adopt an integrated approach by using tools that allow them to evaluate the impact of forest management practices on forest productivity more effectively. Examples are the derivation of polymorphic site index curves in conjunction with ecological classification systems and the use of relative growth rate.

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