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Risk Analysis in Forest Management

Handbook / Manual

Series: Managing Forest Ecosystems Volume: 2

Edited By: Klaus von Gadow

240 pages, Figs, tabs

Springer-Verlag

Hardback | Dec 2001 | #120291 | ISBN: 0792369009
Availability: Usually dispatched within 2-3 weeks Details
NHBS Price: £126.50 $159/€151 approx

About this book

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.


Contents

Ecosystem Perspectives. Forest management planning for maintaining the viability of wildlife populations; A. Kangas, J. Kangas. Risk appraisal for forest management with respect to site quality and environmental changes; M. Bredemeier, et al. Engineering and Planning. Application of artificial intelligence to risk analysis for forested ecosystems; D.L. Schmoldt. Risk analysis as a tool for policy evaluation - a multi-level comparison example; K. Hollenstein. Risk analysis in the context of timber harvest planning; A. Yoshimoto. Economics and policy. Incorporating risk into financial analysis of forest management investments; D. Klemperer. Administrating risk - a social science perspective on natural hazard prevention based on an Austrian case study; G. Weiss. Considering serious hazards in forest management decision making; M. Dieter, et al.

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