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.

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.

Part I: Introduction; Part II: Valuation of ecosystem services and biophysical indicators of NRM impacts; Part III: Methodological advances for a comprehensive impact assessment; Part IV: NRM impact assessment in practice.

Natural resources support all human productivity. The sustainable management of natural resources is among the preeminent problems of the current century. Sustainability and the implied professional responsibility start here. This book uses applied mathematics familiar to undergraduate engineers and scientists to examine natural resource management and its role in framing sustainability. Renewable and nonrenewable resources are covered, along with living and sterile resources. Examples and applications are drawn from petroleum, fisheries, and water resources. Each chapter contains problems illustrating the material. Simple programs in commonly available packages (Excel, MATLAB) support the text. The material is a natural prelude to more advanced study in ecology, conservation, and population dynamics, as well as engineering and science. The mathematical description is kept within what an undergraduate student in the sciences or engineering would normally be expected to master for natural systems. The purpose is to allow students to confront natural resource problems early in their preparation.

The perseveration of our natural environment has become a critical objective of environmental scientists, business owners, and citizens alike. Because we depend on natural resources to survive, uncovering methods for preserving and maintaining these resources has become a focal point to ensure a high quality of life for future generations. Natural Resources Management: Concepts, Methodologies, Tools, and Applications emphasizes the importance of land, soil, water, foliage, and wildlife conservation efforts and management. Focusing on sustainability solutions and methods for preserving the natural environment, this critical multi-volume research work is a comprehensive resource for environmental conservationists, policymakers, researchers, and graduate-level students interested in identifying key research in the field of natural resource preservation and management.

Indigenous Knowledge (IK) reviews cutting-edge research and links theory with practice to further our understanding of this important approach's contribution to natural resource management. It addresses IK's potential in solving issues such as coping with change, ensuring global food supply for a growing population, reversing environmental degradation and promoting sustainable practices. It is increasingly recognised that IK, which has featured centrally in resource management for millennia, should play a significant part in today's programmes that seek to increase land productivity and food security while ensuring environmental conservation. An invaluable resource for researchers and postgraduate students in environmental science and natural resources management, this book is also an informative read for development practitioners and undergraduates in agriculture, forestry, geography, anthropology and environmental studies.

Humans interact with and are part of the mysterious processes of nature. Inevitably they have to discover how to manage the environment for their long-term survival and benefit. To do this successfully means learning something about the dynamics of natural processes, and then using the knowledge to work with the forces of nature for some desired outcome. These are intriguing and challenging tasks. This book describes a technique which has much to offer in attempting to achieve the latter task. A knowledge of dynamic programming is useful for anyone interested in the optimal management of agricultural and natural resources for two reasons. First, resource management problems are often problems of dynamic optimization. The dynamic programming approach offers insights into the economics of dynamic optimization which can be explained much more simply than can other approaches. Conditions for the optimal management of a resource can be derived using the logic of dynamic programming, taking as a starting point the usual economic definition of the value of a resource which is optimally managed through time. This is set out in Chapter I for a general resource problem with the minimum of mathematics. The results are related to the discrete maximum principle of control theory. In subsequent chapters dynamic programming arguments are used to derive optimality conditions for particular resources.