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Effective Ecological Monitoring
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Table of Contents

  • Acknowledgments
  • Preface to Second Edition
  • 1: Introduction
  • Some of the ecological values and uses of long-term datasets
  • Poor record of long-term ecological monitoring
  • Why we wrote this book
  • 2: Why monitoring fails
  • Characteristics of ineffective monitoring programs
  • Other factors contributing to ineffective monitoring programs
  • 3: What makes long-term monitoring effective?
  • Characteristics of effective monitoring programs
  • Little things matter a lot! Some 'tricks of the trade'
  • The adaptive monitoring framework
  • 4: The problematic, the effective and the ugly - some case studies
  • The problematic
  • The effective
  • Need to wait and see
  • The ugly
  • 5: The upshot - our general conclusions
  • Changes in culture needed to facilitate monitoring
  • Good things that can come from non-question based monitoring
  • The role of citizen science in long-term monitoring
  • The challenge of intellectual property and data sharing
  • The challenges in effective monitoring of rare, threatened and endangered species
  • The major challenge of keeping monitoring and long-term studies going
  • The big issue of integrating different kinds of monitoring
  • Approaches to integrate data from different kinds of monitoring
  • Index

About the Author

David Lindenmayer is a Research Professor at The Australian National University who has specialised in established large-scale, long-term ecological monitoring and research programs that have extended for more than 35 years in many different parts of south-eastern Australia.

Professor Gene Likens is one of the world's most highly decorated scientists and widely recognised for his pioneering and ground-breaking work on acid rain in north-eastern USA.

Reviews

Review of the first edition:
"Lindenmayer and Likens have distilled decades of experience into a book about how to study the long, large, and slow processes of ecological change....This volume illuminates the practical as well as the deep intellectual challenges of long-term science."--Quarterly Review of Biology

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