Computer Applications in Sustainable Forest Management presents state-of-the-art computer applications in a variety of specialty areas of forestry, including inventory, remote sensing, information management, modelling and visualization, biometrics, forest and harvest planning, bioeconomics and marketing, and decision science for management. This book emphasizes integration, or collaborative use, of computer technologies across different disciplines through interdisciplinary research and development in North America, China, and Europe. It also offers important new insights on how to continue advancing computational technologies in forest management to better achieve the basic goal of sustainable forest management.
This book will be a valuable technical resource for resource managers, planners, administrators, researchers, educators, graduate students, and senior undergraduate students in the field of forestry. Case studies demonstrate integration of, or collaboration among, multiple computer applications for sustainable forest management.
While earlier books concerning forest planning have tended to focus on linear programming, economic aspects, or specific multi-criteria decision aid tools, this book provides a much broader range of tools to meet a variety of planning situations. The methods themselves cover a range of decision situations – from cases involving single decision makers, through group decision making, to participatory planning. They include traditional decision support tools, from optimization to utility functions, as well as methods that are just gaining ground in forest planning – such as problem structuring methods and social choice theory.
Including examples which illustrate the application of each technique to specific management planning problems, the book offers an invaluable resource for both researchers and advanced students specializing in management and planning issues relating to forestry.