Decision Methods for Forest Resource Management
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Decision Methods for Forest Resource Management

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Description

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.
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Product details

  • Hardback | 439 pages
  • 149.86 x 228.6 x 27.94mm | 566.99g
  • Academic Press Inc
  • San Diego, United States
  • English
  • Annotated
  • Annotated edition
  • 0121413608
  • 9780121413606

Review quote

"Decision Methods provides an excellent foundation in mathematical programming techniques for various aspects of forest resource management."
-Ian A. Munn, Department of Forestry, Mississippi State University

"Buongiorno and Gilless...have boiled the essence of solving forest resource management problems down to concrete, easy-to-understand examples."
- Larry Leefers, Department of Forestry, Michigan State University

"The new text is logically organized and comprehensive, and should work well in the target classes."
- Jim Pickens, Michigan Technological University

"...very well written...will serve well as a text for a senior undergraduate course... and as a reference for practitioners."
-Glen W. Armstrong, University of Alberta (Oct 2003)
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Table of contents

Preface; Introduction; Principles of Linear Programming: Formulations; Principles of Linear Programming: Solutions: Even-Aged Management: A First Model; Area - and Volume-Control Management with Linear Programming: A Dynamic Model of the Even-Aged Forest; Economic Objectives and Environmental Policies for Even-Aged Forests; Managing the Uneven-Aged Forest with Linear Programming; Economic and Environmental Management of Uneven-Aged Forests; Multiple Objectives Management with Goal Programming; Forest Resource Programming Models with Integer Variables; Project Management with CPM/PERT; Multistage Decision Making with Dynamic Programming; Simulation of Uneven-Aged Stand Management; Simulation of Even-Aged Forest Management; Projecting Forest Landscape and Income Under Risk with Markov Chains; Optimizing Forest Income and Biodiversity with Markov Decision Processes; Analysis of Forest Resource Investments; Econometric Analysis and Forecasting of Forest Product markets; Appendix A: Compounding and Discounting; Appendix B: Elements of Matrix Algebra
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