The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making

  • Daniel L. Schmoldt
  • Jyrki Kangas
  • Guillermo A. Mendoza
  • Mauno Pesonen

Part of the Managing Forest Ecosystems book series (MAFE, volume 3)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Daniel L. Schmoldt, Jyrki Kangas, G. A. Mendoza
    Pages 1-13
  3. Pekka Korhonen, Jyrki Wallenius
    Pages 37-50
  4. Jyrki Kangas, Timo Pukkala, Annika S. Kangas
    Pages 51-65
  5. Daniel L. Schmoldt, David L. Peterson
    Pages 67-79
  6. Daniel L. Schmoldt, David L. Peterson
    Pages 97-114
  7. Jyrki Kangas, Leena A. Hytönen, Teppo Loikkanen
    Pages 131-147
  8. Mauno Pesonen, Jyrki Ahola, Mikko Kurttila, Miika Kajanus, Jyrki Kangas
    Pages 187-198
  9. Juha M. Alho, Osmo Kolehmainen, Pekka Leskinen
    Pages 235-251
  10. Piotr Jankowski, Timothy Nyerges
    Pages 253-268
  11. Daniel L. Schmoldt, G. A. Mendoza, Jyrki Kangas
    Pages 289-305
  12. Back Matter
    Pages 307-307

About this book


Decision making in land management involves preferential selection among competing alternatives. Often, such choices are difficult owing to the complexity of the decision context. Because the analytic hierarchy process (AHP, developed by Thomas Saaty in the 1970s) has been successfully applied to many complex planning, resource allocation, and priority setting problems in business, energy, health, marketing, natural resources, and transportation, more applications of the AHP in natural resources and environmental sciences are appearing regularly. This realization has prompted the authors to collect some of the important works in this area and present them as a single volume for managers and scholars. Because land management contains a somewhat unique set of features not found in other AHP application areas, such as site-specific decisions, group participation and collaboration, and incomplete scientific knowledge, this text fills a void in the literature on management science and decision analysis for forest resources.


Analysis Marketing biodiversity forest linear optimization optimization

Editors and affiliations

  • Daniel L. Schmoldt
    • 1
  • Jyrki Kangas
    • 2
  • Guillermo A. Mendoza
    • 3
  • Mauno Pesonen
    • 4
  1. 1.USDA Forest serviceSouthern Research stationBlacksburgUSA
  2. 2.Kannus Research StationFinnish Forest Research InstituteKannusFinland
  3. 3.Department of Natural Resources and Environmental SciencesUniversity of IllinoisUrbanaUSA
  4. 4.Finnish Forest Research InstituteVantaaFinland

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5735-8
  • Online ISBN 978-94-015-9799-9
  • Series Print ISSN 1568-1319
  • Series Online ISSN 1568-1319
  • Buy this book on publisher's site