Computer Applications in Sustainable Forest Management

Including Perspectives on Collaboration and Integration

  • Guofan Shao
  • Keith M. Reynolds

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Guofan Shao, Keith M. Reynolds
      Pages 3-16
  3. Core technologies

    1. Front Matter
      Pages 18-18
    2. Tomas Brandtberg, Timothy Warner
      Pages 19-41
    3. Hans-Erik Andersen, Stephen E. Reutebuch, Robert J. McGaughey
      Pages 43-66
    4. Michael Köhl
      Pages 67-82
    5. John Sessions, Abdullah Akay, Glen Murphy, Woodam Chung, Kazuhiro Aruga
      Pages 83-99
    6. Changhui Peng, Xuezhi Wen
      Pages 101-125
    7. Guillermo A. Mendoza, Bo Song, David J. Mladenoff
      Pages 127-142
    8. Keith M. Reynolds, Daniel L. Schmoldt
      Pages 143-169
    9. Richard Haynes, Darius Adams, Peter Ince, John Mills, Ralph Alig
      Pages 171-197
  4. Synthetic applications

    1. Front Matter
      Pages 200-200
    2. Michael C. Wimberly, Yangjian Zhang, John A. Stanturf
      Pages 201-222
    3. John Sessions, Pam Overhulser, Pete Bettinger, Dave Johnson
      Pages 223-238
    4. Guofan Shao, Limin Dai
      Pages 239-258
  5. Conclusions

    1. Front Matter
      Pages 260-260
    2. Guofan Shao, Keith M. Reynolds
      Pages 261-267
  6. Back Matter
    Pages 269-277

About this book

Introduction

Computer Applications in Sustainable Forest Management presents state-of-the-art computer applications in a variety of specialty areas of forestry, including inventory, remote sensing, information management, modelling and visualization, biometrics, forest and harvest planning, bioeconomics and marketing, and decision science for management. This book emphasizes integration, or collaborative use, of computer technologies across different disciplines through interdisciplinary research and development in North America, China, and Europe. It also offers important new insights on how to continue advancing computational technologies in forest management to better achieve the basic goal of sustainable forest management. Case studies demonstrate integration of, or collaboration among, multiple computer applications for sustainable forest management.




Keywords

3D Forestry Marketing Sustainable forest management artificial neural network computer simulation development forest fuzzy information management information system optimization simulation

Editors and affiliations

  • Guofan Shao
    • 1
  • Keith M. Reynolds
    • 2
  1. 1.Department of Forestry and Natural ResourcesPurdue UniversityWest LafayetteUSA
  2. 2.USDA Forest ServiceCorvallisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-4387-1
  • Copyright Information Springer 2006
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4020-4305-5
  • Online ISBN 978-1-4020-4387-1
  • About this book