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Publication Information

Title: Techniques of Australian forest planning

Author: Australian Forestry Council

Date: 1978

Source: In: Operational forest management planning methods: proceedings, meeting of steering systems project group, International Union of Forestry Research Organizations, Bucharest, Romania, June 18-24, 1978. Navon, Daniel, Compiler. Gen. Tech. Rep. PSW-GTR-32. Berkeley, CA: Pacific Southwest Forest and Range Exp. Stn., Forest Service, U.S. Department of Agriculture: p. 24-35

Station ID: GTR-PSW-032

Description: Computer modeling has been extensively adopted for Australian forest planning over the last ten years. It has been confined almost entirely to the plantations of fast-growing species for which adequate inventory, growth, and experimental data are available. Stand simulation models have replaced conventional yield tables and enabled a wide range of alternative strategies to be evaluated for each individual stand. Simulation models for entire plantations have been found invaluable for the preparation of 1-to 5-year cutting plans and for regulating the yield over 20- to 60-year periods. Many models have been constructed and found to be simple and highly cost-effective. Optimization models, using linear programming, have been constructed for yield regulation and found to give powerful insights into the interactions between the various alternatives available for all stands. However, these models are expensive and require considerable data and expertise. They are difficult to maintain, especially when staff change.

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Citation

Australian Forestry Council  1978.  Techniques of Australian forest planning.   In: Operational forest management planning methods: proceedings, meeting of steering systems project group, International Union of Forestry Research Organizations, Bucharest, Romania, June 18-24, 1978. Navon, Daniel, Compiler. Gen. Tech. Rep. PSW-GTR-32. Berkeley, CA: Pacific Southwest Forest and Range Exp. Stn., Forest Service, U.S. Department of Agriculture: p. 24-35.

US Forest Service - Research & Development
Last Modified:  February 24, 2009


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