Mapping Forest Landscape Patterns

  • Tarmo K. Remmel
  • Ajith H. Perera

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Tarmo K. Remmel, Ajith H. Perera
    Pages 1-62
  3. Tarmo K. Remmel, Ajith H. Perera
    Pages 105-145
  4. Connie Ko, Tarmo K. Remmel
    Pages 147-185
  5. Trisalyn A. Nelson, Wiebe Nijland, Mathieu L. Bourbonnais, Michael A. Wulder
    Pages 187-212
  6. Evelyn Uuemaa, Tõnu Oja
    Pages 213-261
  7. Lars T. Waser, Ruedi Boesch, Zuyuan Wang, Christian Ginzler
    Pages 263-304
  8. Back Matter
    Pages 321-326

About this book

Introduction

This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis. 

Keywords

Forest landscape ecology forest disturbances mapping techniques quantifying landscape patterns remote sensing mapping

Editors and affiliations

  • Tarmo K. Remmel
    • 1
  • Ajith H. Perera
    • 2
  1. 1.Department of GeographyYork UniversityTorontoCanada
  2. 2.Ministry of Natural Resources and ForestryOntario Forest Research InstituteSault Ste. MarieCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-7331-6
  • Copyright Information Springer Science+Business Media LLC 2017
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4939-7329-3
  • Online ISBN 978-1-4939-7331-6
  • About this book