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

This updated and expanded second edition adds the most recent advances in participatory planning approaches and methods, giving special emphasis to decision support tools usable under uncertainty. The new edition places emphasis on the selection of criteria and creating alternatives in practical multi-criteria decision making problems.

Forest Management and Planning, Second Edition, addresses contemporary forest management planning issues, providing a concise, focused resource for those in forest management. The book is intermixed with chapters that concentrate on quantitative subjects, such as economics and linear programming, and qualitative chapters that provide discussions of important aspects of natural resource management, such as sustainability. Expanded coverage includes a case study of a closed canopy, uneven-aged forest, new forest plans from South America and Oceania, and a new chapter on scenario planning and climate change adaptation. - Helps students and early career forest managers understand the problems facing professionals in the field today - Designed to support land managers as they make complex decisions on the ecological, economic, and social impacts of forest and natural resources - Presents updated, real-life examples that are illustrated both mathematically and graphically - Includes a new chapter on scenario planning and climate change adaptation - Incorporates the newest research and forest certification standards - Offers access to a companion website with updated solutions, geographic databases, and illustrations

Here is the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book covers these areas with contributions from researchers on, among others, modeling natural research problems, quantifying data, and developing algorithms.

Decision making in land management involves preferential selection among competing alternatives. Often, such choices are difficult owing to the complexity of the decision context. Because the analytic hierarchy process (AHP, developed by Thomas Saaty in the 1970s) has been successfully applied to many complex planning, resource allocation, and priority setting problems in business, energy, health, marketing, natural resources, and transportation, more applications of the AHP in natural resources and environmental sciences are appearing regularly. This realization has prompted the authors to collect some of the important works in this area and present them as a single volume for managers and scholars. Because land management contains a somewhat unique set of features not found in other AHP application areas, such as site-specific decisions, group participation and collaboration, and incomplete scientific knowledge, this text fills a void in the literature on management science and decision analysis for forest resources.

Drawing case studies, the authors of this work examine how adaptive governance breaks the gridlock in natural-resource policy. Unlike scientific management, which relies on science as the foundation for policies made through a central authority, adaptive governance integrates other types of knowledge into the decision-making process. The authors emphasize the need for open decision making, recognition of multiple interests in questions of natural-resource policy, and an integrative, interpretive science to replace traditional reductive, experimental science.

Fundamental changes have occurred in all aspects of forestry over the last 50 years, including the underlying science, societal expectations of forests and their management, and the evolution of a globalized economy. This textbook is an effort to comprehensively integrate this new knowledge of forest ecosystems and human concerns and needs into a management philosophy that is applicable to the vast majority of global forest lands. Ecological forest management (EFM) is focused on policies and practices that maintain the integrity of forest ecosystems while achieving environmental, economic, and cultural goals of human societies. EFM uses natural ecological models as its basis contrasting it with modern production forestry, which is based on agronomic models and constrained by required return-on-investment. Sections of the book consider: 1) Basic concepts related to forest ecosystems and silviculture based on natural models; 2) Social and political foundations of forestry, including law, economics, and social acceptability; 3) Important current topics including wildfire, biological diversity, and climate change; and 4) Forest planning in an uncertain world from small privately-owned lands to large public ownerships. The book concludes with an overview of how EFM can contribute to resolving major 21st century issues in forestry, including sustaining forest dependent societies.