Financial Feasibility of Selection-Based Multiple-Value Management on Private Lands in the South: A Heuristic Case Study Approach
Abstract:Over the last 10 years, multiple-value, ecosystem-based approaches to management on public forestlands have become more prevalent. However, less attention has been paid to this concept in the private sector. Although it is recognized that nonindustrial private forest (NIPF) landowners own forestland for a diversity of reasons, information on management approaches that seek to more fully meet multiple objectives is needed, particularly for southern US pine forests. Alternatives to plantation management are available, but little information exists on the economic implications so that NIPF landowners can make informed decisions regarding implementation. This study develops a simple economic model as a heuristic tool to compare financial performance of extensive, multiple-value management approaches. The 50-year projection illustrates that, although not equal to more intensive management systems by some economic performance metrics, multiaged, selection-based alternatives can provide substantial net cash flow, maintain significant timber volume, and have comparable total value.
Document Type: Research Article
Publication date: July 1, 2010
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- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
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