Suchergebnisse

A brief history of forest economics thought -- The Faustmann rotation model -- Hartman models of timber and amenity production -- Two period life cycle models -- Socially optimal forest policy design -- Deforestation: models and policy instruments -- Biodiversity conservation in boreal and temperate forests -- Forest age class models -- Uncertainty in two period models -- Catastrophic forest loss risk -- Stochastic rotations models -- Dynamic models of forest resources

One of the first on the topic, this book offers 21st century alternatives to the 163 year-old paradigm at the heart of forest resource economics, the Faustmann Formulation of land expectation value. Since that time, many new streams of economics - including agent-based economics, behavioral economics, complexity theory, ecological economics, evolutionary game theory, social choice theory and public choice theory - have extended the horizons of economic thinking far beyond the limits of neoclassical economics. Today, the role of multiple forest ecosystem services in climate change, human health, environmental sustainability and human development is increasingly recognized, and attention turns to enhancing the contribution of forests to a "green" economy rather than the traditional contribution of forests to a blue (industrial) economy. The fourth volume in the Sustainability, Economics and Natural Resources series, Post-Faustmann Forest Resource Economics (PFFRE) focuses on the new paradigm of forest economics. The first chapter lays the foundation of the PFFRE, presenting the key distinctions between the FFRE and the PFFRE. Twelve following chapters address issues related to forest economics from perspectives different than the FFRE. Chapters 2 to 6 discuss issues related to human behavior that is different than the traditional "rational economic man," Chapters 7 and 8 examine public choice theory, Chapters 9 and 10 present systems approaches, and Chapters 11 to 13 describe incremental approaches for incorporating new features in the FFRE

AbstractManagement of forest resources is a major problem area in developing countries. Basing discussion of the problem on the situation in India this article recognizes the importance of a rational pricing policy but also argues that forest administration has to be strengthened. Regeneration of forest resources has to be stimulated by price improvements and encouraging investment but regeneration and rural development involving social and agro forestry are also required. Forest administration has to be developed to cope with these different requirements. The article questions the argument concerning institution building for development forestry advanced by Guess (1982).

Opportunities for Using Ecological Models for Resource Management -- Examples of Using Ecological Models for Resource Management -- Modeling for Endangered-Species Recovery: Gray Wolves in the Western Great Lakes Region -- Modeling Fish Entrainment and Impingement Impacts: Bridging Science and Policy -- Large-Scale Regional Assessments: Lessons Learned from the Southern Appalachian Assessment -- Key Issues -- Overcoming Barriers to the Use of Models in Environmental Decision Making -- Barriers to the Use of Ecological Models in Decision Making -- Network Theory: An Evolving Approach to Landscape Conservation -- Evolving Approaches and Technologies to Enhance the Role of Ecological Modeling in Decision Making -- Data and Information Issues in Modeling for Resource Management Decision Making: Communication Is the Key -- Effective Ecological Modeling for Use in Management Decisions: Data Issues -- Effective Use of Ecological Modeling in Management: The Toolkit Concept -- Role of Computational Toolkits in Environmental Management -- Science and Management Investments Needed to Enhance the Use of Ecological Modeling in Decision Making -- Educational Investments in Environmental Science and Management -- Finale -- What in the World Is Worth Fighting for? Using Models for Environmental Security -- New Directions in Ecological Modeling for Resource Management.