Risk Analysis in Forest Management

1. Front Matter

   Pages i-ix

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2. Ecosystem perspectives

   1. Front Matter

      Pages N1-N1

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   2. Forest Management Planning for Maintaining the Viability of Wildlife Populations

      • Annika S. Kangas, Jyrki Kangas

      Pages 1-20

   3. Risk Appraisal for Forest Management with Respect to Site Quality and Environmental Changes

      • Michael Bredemeier, Norbert Lamersdorf, Hubert Schulte-Bisping, Burckhardt von Lüpke

      Pages 21-48

3. Engineering and planning

   1. Front Matter

      Pages N3-N3

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   2. Application of Artificial Intelligence to Risk Analysis for Forested Ecosystems

      • Daniel L. Schmoldt

      Pages 49-74

   3. Risk Analysis as a Tool for Policy Evaluation: A Multi-Level Comparison Example

      • K. Hollenstein

      Pages 75-112

   4. Risk Analysis in the Context of Timber Harvest Planning

      • Atsushi Yoshimoto

      Pages 113-148

4. Economics and Policy

   1. Front Matter

      Pages N5-N5

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   2. Incorporating Risk into Financial Analysis of Forest Management Investments

      • W. David Klemperer

      Pages 149-170

   3. Administrating Risk — A Social Science Perspective on Natural Hazard Prevention Based on an Austrian Case Study

      • Gerhard Weiss

      Pages 171-200

   4. Considering Serious Hazards in Forest Management Decision-Making

      • Matthias Dieter, Martin Moog, Herbert Borchert

      Pages 201-232

5. Back Matter

   Pages 233-241

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Due to the long-term planning horizons and the great variety of natural, economic, and operational hazards affecting forest ecosystems, uncertainty and multiple risk are typical aspects of forest management. Applications of risk analysis are surprisingly rare, in spite of the rich assortment of sophisticated forest planning tools that are available today. The objective of this particular volume within the book series Managing Forest Ecosystems is to present state-of-the-art research results, concepts, and techniques regarding the assessment and evaluation of natural hazards and the analysis of risk and uncertainty relating to forest management. Various aspects of risk analysis are covered, including examples of specific modelling tools. The book is divided into three sections covering ecological perspectives, applications in engineering and planning, and methods applicable to economics and policy.

• artificial intelligence
• forest
• intelligence
• modeling
• uncertainty

• Georg-August-University, Göttingen, Germany

  Klaus Gadow

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