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The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making PDF

307 Pages·2001·3.87 MB·English
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THE ANALYTIC HIERARCHY PROCESS IN NATURAL RESOURCE AND ENVIRONMENTAL DECISION MAKING Managing Forest Ecosystems Volume 3 Series Editors: Klaus von Gadow Georg-August-University, Göttingen, Germany Tirno Pukkala University of Joensuu, Joensuu, Finland and Margarida Torne Instituto Superior de Agronom{a, Lisbon, Portugal Aims & Scope: Well-managed forests and woodlands are a renewable resouree, producing essential raw material with minimum waste and energy use. Rieh in habitat and species diversity, forests may eontribute to inereased eeosystem stability. They ean absorb the effeets of unwanted deposition and other disturbances and proteet neighbouring eeosystems by maintaining stable nutrient and energy eyc\es and by preventing soil degradation and erosion. They provide mueh-needed reereation and their eontinued existenee eontributes to stabilizing rural eommunities. Forests are managed for timber produetion and species, habitat and proeess eonservation. A subtle shift from multiple-use management to ecosystems management is being observed and the new eeological perspeetive of multi-functional forest management is based on the principles of eeosystem diversity, stability and elasticity, and the dynamic equilibrium of primary and seeondary produetion. Making fuH use of new teehnology is one of the ehaHenges faeing forest management today. Resouree information must be obtained with a limited budget. This requires better timing of resouree assessment aetivities and improved use of multiple data sourees. Sound eeosystems management, like any other management aetivity, relies on effeetive forecasting and operation al eontro\. The aim of the book series Managing Forest Ecosystems is to present state-of-the-art research results relating to the praetiee of forest management. Contributions are solieited from prominent authors. Eaeh referenee book, monograph or proeeedings volume wiII be foeused to deal with a specifie eontext. Typical issues of the series are: resouree assessment teehniques, evaluating sustainability for even-aged and uneven-aged forests, muIti-objeetive management, predieting forest development, optimizing forest management, biodiversity management and monitoring, risk assessment and eeonomie analysis. The titles published in this se ries are listed at the end of this volume. The Anal ytic Hierarchy Process in Natural Resource and Environmental Decision Making Edited by Daniel L. Schmoldt USDA Forest service, Southern Research station, Blacksburg, VA, U.S.A. Jyrki Kangas Finnish Forest Research Institute, Kannus Research Station, Kannus, Finland Guillermo A. Mendoza University oj'llIinois, Department (f Natural Resources and Environmental Sciences, Urhana, IL, U.S.A. and Mauno Pesonen Finnish Forest Research Institute, Vantaa, Finland Springer-Science+Business Media, B.Y. A c.I.P. Catalogue record for this book is available from the Library of Congress. ISBN 978-90-481-5735-8 ISBN 978-94-015-9799-9 (eBook) DOI 10.1007/978-94-015-9799-9 Printed on acid-ji-ee paper All Rights Reserved © 200 I Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 2001. Softcover reprint of the hardcover 1s t edition 2001 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner. Contents Contributors IX Preface xiii Foreword xvii Basic Prineiples of Deeision Making in Natural Resources and the Environment DANIEL L. SCHMOLDT, JYRKI KANGAS AND G. A. MENDOZA Fundamentals ofthe Analytie Hierarehy Process 15 THOMAS L. SAATY On Using the AHP in Multiple Objeetive Linear Prograrnming 37 PEKKA KORHONEN AND JYRKI WALLENIUS HERO: Heuristic Optimisation for Multi-Criteria Forestry Decision Analysis 51 JYRKI KANGAS, TrMo PUKKALA AND ANNIKA S. KANGAS Strategie and Taetieal Planning for Managing National Park Resourees 67 DANIEL L. SCHMOLDT AND D. L. PETERSON v VI Contents Combined Use of Goal Programming and the Analytie Hierarehy Proeess in Fo rest Management 81 LUIS DiAz-BALTEIRO AND CARLOS ROMERO Effieient Group Deeision Making in Workshop Settings 97 DANIEL L. SCHMOLDT AND D. L. PETERSON Prioritizing Criteria and Indieators for Sustainable Forest Management: A Case Study on Partieipatory Deeision Making 115 G. A. MENDOZAANDR. PRABHU Integrating the AHP and HERO into the Proeess of Partieipatory Natural Resourees Planning 131 JYRKI KANGAS, LEENA A. HYfÖNEN AND TEppo LOIKKANEN Environmental Cognition: Contributions from the Analytie Hierarehy Proeess Toward Construetion ofCognitive Maps 149 REZABANAI Potential Allowable Cut of Finland Using the AHP to Model Landowners' Strategie Deeision Making 167 MAUNO PESONEN Applying A'WOT to Forest Industry Investment Strategies: Case Study of a Finnish Company in North Ameriea 187 MAUNO PESONEN, JYRKI AHOLA, MIKKO KURTTILA, MnKA KAJANUS AND JYRKI KANGAS Prioritizing Salmon Habitat Restoration with the AHP, SMART, and Uneertain Data 199 KEITH M. REYNOLDS A Fuzzy Analytic Hierarchy Proeess for Assessing Biodiversity Conservation 219 G. A. MENDOZA AND R. PRABHU Regression Methods for Pairwise Comparison Data 235 JURA M. ALHO, OSMO KOLEHMAlNEN AND PEKKA LESKlNEN Using GeoChoicePerspeetives in Collaborative Spatial Decision Making 253 PIOTR JANKOWSKI AND TIMOTHY NYERGES Contents vii Integrating the AHP with Geographic Information Systems for Assessing Resouree Conditions in Rural Catchments in Australia 269 ROBERT M. ITAMI, GLEN MACLAREN AND KATHLEEN HIRST Past Developments and Future Direetions for the AHP in Natural Resourees 289 DANIEL L. SCHMOLDT, G. A. MENDOZA AND JYRKI KANGAS Contributors Jyrki Ahola Lappeenranta University ofTechnology, Department ofB usiness Administration, Finland JuhaM. Alho University ofJ oensuu, Department ofStatistics, Joensuu Finland Reza Banai Graduate Program in City and Regional Planning, University ofMemphis, Memphis TN USA Luis Diaz-Balteiro y rs. Departamento de Ingenieria Agricola Forestal. E. Ingenierias Agrarias. Avda. Madrid, Palencia, Spain Kathleen Hirst GIS Applications Pty Ltd, South Caulfield, Victoria, Australia Leena A. Hytönen Finnish F orest Research Institute, Kannus Research Station, Kannus, Finland Robert M. Itami Centre for GIS and Modelling, Department of Geomatics, University ofM elbaume, Victoria, Australia Piotr Jankowski Department ofGeography, University ofIdaho, Moscow, ID USA Miika Kaj anus Pohjois-Savo Polytechnic, Rural Education, Peltosalmi, Finland IX x Contnbutors Annika S. Kangas Finnish F orest Research Institute, Kannus, Finland Jyrki Kangas Finnish F orest Research Institute, Kannus, Finland Osmo Kolehmainen University ofJ oensuu, Department ofStatistics, Joensuu Finland Pekka Korhonen Helsinki School ofEconomics and Business Administration, Runeberginkatu, Helsinki, Finland Mikko Kurttila University ofJ oensuu, Faculty ofForestry, Finland Pekka Leskinen Finnish Forest Research Institute, Kannus Research Station, Kannus Finland Teppo Loikkanen Finnish Forest andPark Service, Finland GIen Mac Laren Centrefor GIS andModelling, Department ofGeomatics, University ofMelbaurne, Victoria, Australia Guillermo A. Mendoza Department ofN atural Resaurces and Environmental Sciences, University ofI llinois, Urbana, Illinois USA Timothy Nyerges Department ofGeography, University ofWashington, Seattle, WA USA Mauno Pesonen Finnish Forest Research Institute, Finland David L. Peterson USGS Forest and Rangeland Ecosystem Science Center, Cascadia Field Station, Seattle WA USA R. Prabhu Center for International Forestry Research (CIFOR) Regional Office, Institute of Environmental Studies, University ofZimbabwe, Harare, Zimbabwe

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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 ma
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