This book is intended for use by natural resource managers and scientists, and students in the fields of natural resource management, ecology, and conservation biology, who are confronted with complex and difficult decision making problems. The book takes readers through the process of developing a structured approach to decision making, by firstly deconstructing decisions into component parts, which are each fully analyzed and then reassembled to form a working decision model. The book integrates common-sense ideas about problem definitions, such as the need for decisions to be driven by explicit objectives, with sophisticated approaches for modeling decision influence and incorporating feedback from monitoring programs into decision making via adaptive management. Numerous worked examples are provided for illustration, along with detailed case studies illustrating the authors’ experience in applying structured approaches. There is also a series of detailed technical appendices. An accompanying website provides computer code and data used in the worked examples. Additional resources for this book can be found at: www.wiley.com/go/conroy/naturalresourcemanagement.

A guide to making good decisions about wildlife management and biodiversity conservation against a backdrop of socio-environmental change.

Provides and analyzes real examples of how structured decision making (SDM) can help solve complex problems involving natural resources. When faced with complicated, potentially controversial decisions that affect our environment, many resource management agencies have come to realize the value of structured decision making (SDM)—the systematic use of principles and tools of decision analysis. Few professionals, however, have extensive experience implementing SDM. Structured Decision Making provides key information to both current adopters of the method and those who are deploying it for the first time by demonstrating the formal use of decision analysis to support difficult, real-world natural resource management decisions. Drawing on case studies from multiple public agencies in the United States, Canada, Australia, and Mauritius, the editors present an overview of decision analysis, a classification of decision types, and a catalog of decision analysis methods. Dozens of detailed charts and maps help contextualize the material. These case studies examine a rich variety of topics, including • keeping forest birds free from disease • conserving imperiled freshwater mussels • managing water for oil sands mining • dealing with coastal wetlands in the face of sea-level rise • designing networks for prairie-dependent taxa • combatting invasive alpine shrubs • managing vernal pool habitats for obligate amphibian species • and much more Aimed at decision makers tackling natural resource challenges in government agencies around the world, as well as advanced undergraduate and graduate students preparing to work in natural resource management, Structured Decision Making shows how SDM can be implemented to achieve optimal outcomes that integrate social values and scientific understanding. Contributors: Taber D. Allison, Larissa L. Bailey, Ellen A. Bean, Clint W. Boal, Gregory Breese, Stefano Canessa, Jean Fitts Cochrane, Sarah J. Converse, Cami S. Dixon, John G. Ewen, Christelle Ferrière, Jill J. Gannon, Beth Gardner, Adam W. Green, Justin A. Gude, Victoria M. Hunt, Kevin S. Kalasz, Melinda G. Knutson, Jim Kraus, Graham Long, Eric V. Lonsdorf, James E. Lyons, Conor P. McGowan, Sarah E. McRae, Michael S. Mitchell, Clinton T. Moore, Joslin L. Moore, Steven Morey, Dan W. Ohlson, Charlie Pascoe, Andrew Paul, Eben H. Paxton, Lori B. Pruitt, Michael C. Runge, Sarah N. Sells, Terry L. Shaffer, Stephanie Slade, David R. Smith, Jennifer A. Szymanski, Terry Walshe, Nicolas Zuël

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.

This book outlines the creative process of making environmental management decisions using the approach called Structured Decision Making. It is a short introductory guide to this popular form of decision making and is aimed at environmental managers and scientists. This is a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress – in a way that is rigorous, inclusive, defensible and transparent – requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation and negotiation. The authors review key methods and discuss case-study examples based in their experiences in communities, boardrooms, and stakeholder meetings. The goal of this book is to lay out a compelling guide that will change how you think about making environmental decisions. Visit www.wiley.com/go/gregory/ to access the figures and tables from the book.

Brings scientists, policy makers, land and water managers and citizen stakeholders together to resolve natural resource and environmental problems.

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

First Published in 2003. Routledge is an imprint of Taylor & Francis, an informa company.

This is an exciting time for natural resources planning. There are amazing technologies available to planners and a wide and growing array of resources, problems, and opportunities that need attention. Private and public interests are taking up these issues all over the world and at all levels of involvement. At the same time, inefficient planning

Documents and reflects on the steps that researchers are taking to implement social and gender analysis, including questions of class, caste, and ethnicity, into their everyday work. Combines both learning experiences and scientific results, representing academic and nonacademic sectors, a variety of research organizations, and a number of natural resource management questions, including biodiversity conservation, crop and livestock improvement, and sustainable grassland development. The learning studies, from China, India, Mongolia, Nepal, and Viet Nam, illustrate challenges, opportunities, successes, and disappointments, and highlight the different methods used and adapted in the diverse contexts of South and Southeast Asia. Concludes with a comparative analysis of the learning studies, which highlights common issues and challenges.