Decision Methods for Forest Resource Management focuses on decision making for forests that are managed for both ecological and economic objectives. The essential modern decision methods used in the scientific management of forests are described using basic algebra, computer spreadsheets, and numerous examples and applications. Balanced treatment is given throughout the book to the ecological and economic impacts of alternative management decisions in both even-aged and uneven-aged forests. In-depth coverage of both ecological and economic issues Hands-on examples with Excel spreadsheets; electronic versions available on the authors' website Many related exercises with solutions Instructor's Manual available upon request

Since 1991, the U.S. Department of Agriculture (USDA) Forest Service Forest Stewardship Program has assisted over 200,000 landowners in preparing multipurpose management plans for areas encompassing more than 20 million acres of nonindustrial private forest (NIPF). These plans promote the long-term sustainability of private forests by balancing future public needs for forest products with the need for protecting and enhancing watershed productivity, air and water quality, fish and wildlife habitat, and threatened and endangered species. This guide offers assistance to writers of the plans and includes instructions, requirements, excerpts from well-written plans, and specific recommendations for developing a plan. Plan writers vary among States and include State foresters, private consultants, and, through a coached planning process, landowners themselves. Not all subjects discussed will apply to every property or forest stewardship plan. A major principle for organizing a plan is that each State must retain the greatest amount of discretion in identifying the needs of NIPF landowners in its region, developing plans that reflect those needs, and putting to use those practices that best achieve their resource objectives. As the writer of a plan, you must be flexible in your thinking, allow for future changes, and incorporate, as it becomes available, new knowledge about dynamic ecosystems.