Handbook Of Operations Research In Natural Resources

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.

The use of operations research (OR) in natural resources management (NRM) is an evolving research field with many application areas. Decision makers in NRM are often not aware of the possibilities that OR techniques offer them to solve their daily challenges. This special issue contributes to close this gap by showing how OR can be useful in different application areas of NRM.

Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical application in business, industry, government and m

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

Game Theory has become one of the main analytical tools for addressing strategic issues in the field of economics and is increasing its influence in other fields of social sciences. With the increased level of extraction of natural resources and pollution of environments, game theory gains its place in the literature and it is more and more seen as a tool for policy makers and not only for theoreticians. The book is structured into four parts dealing with the management of natural resources, the negotiation aspects of water management, water allocation through pricing and markets, and how conflicts and regulation shape the management of the environment. The first part explores game theory concepts applied to fisheries and grazing lands, which are two important natural resources. In the next two parts, several game theory methodologies are considered in the negotiation approach to water management and approaches to water pricing and markets. The last section looks at environmental protection as the end process of the interplay between conflict and regulation. This book includes chapters by experts from developing and developed countries that apply game theory to actual issues in natural resources and the environment. As such the book is extremely useful for graduate students and technical experts interested in the sustainable management of natural resource and the environment. It is also relevant to all Game Theory and Environmental Economics students.

Operations Research: 1934-1941," 35, 1, 143-152; "British The goal of the Encyclopedia of Operations Research and Operational Research in World War II," 35, 3, 453-470; Management Science is to provide to decision makers and "U. S. Operations Research in World War II," 35, 6, 910-925; problem solvers in business, industry, government and and the 1984 article by Harold Lardner that appeared in academia a comprehensive overview of the wide range of Operations Research: "The Origin of Operational Research," ideas, methodologies, and synergistic forces that combine to 32, 2, 465-475. form the preeminent decision-aiding fields of operations re search and management science (OR/MS). To this end, we The Encyclopedia contains no entries that define the fields enlisted a distinguished international group of academics of operations research and management science. OR and MS and practitioners to contribute articles on subjects for are often equated to one another. If one defines them by the which they are renowned. methodologies they employ, the equation would probably The editors, working with the Encyclopedia's Editorial stand inspection. If one defines them by their historical Advisory Board, surveyed and divided OR/MS into specific developments and the classes of problems they encompass, topics that collectively encompass the foundations, applica the equation becomes fuzzy. The formalism OR grew out of tions, and emerging elements of this ever-changing field. We the operational problems of the British and U. s. military also wanted to establish the close associations that OR/MS efforts in World War II.

This book assesses recent developments in the analysis of agricultural policy and water resource management, and highlights the utility and theoretical rigor of quantitative methods for modeling agricultural production, market dynamics, and natural resource management. In diverse case studies of the intersection between agriculture, environmental quality and natural resource sustainability, the authors analyze economic behavior - both at aggregate as well as at individual agent-level - in order to highlight the practical implications for decision-markers dealing with environmental and agricultural policy. The volume also addresses the challenges of doing robust analysis with limited data, and discusses the appropriate empirical approaches that can be employed. The studies in this book were inspired by the work of Richard E. Howitt, Emeritus Professor of Agricultural Economics at the University of California at Davis, USA, whose career has focused on the application of robust empirical methods to address concrete policy problems.