
Effective Ecological Monitoring
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Content
- Cover
- Title
- Copyright
- Contents
- Acknowledgments
- Preface to Second Edition
- Chapter 1 Introduction
- Some of the ecological values and uses of long-term datasets
- Time until expression
- Informing policies and legislation in environmental management
- Use in simulation modelling
- Tests of ecological theory
- Development of co-located, collaborative and multidisciplinary work
- Detection of surprises
- Poor record of long-term ecological monitoring
- Why we wrote this book
- 1. Societal need
- 2. Correcting the record - countering the perception that long-term studies in ecology are poor quality science
- 3. Making sense of the vast monitoring literature
- 4. Providing an overview of success and failure
- 5. New perspectives
- References
- Chapter 2 Why monitoring fails
- Characteristics of ineffective monitoring programs
- Failure to ask the preliminary and fundamental question - Is monitoring needed at all?
- Passive, mindless and lacking questions
- Lack of trigger points for action
- Poor experimental design
- Snowed by a blizzard of ecological details
- Squabbles about what to monitor - 'It's not monitoring without the mayflies'
- Assumption that 'one size fits all'
- Big machines that go ' bing'
- Disengagement
- Rush to get 'real work' happening on the ground and accusations of program over- engineering
- Poor data management
- Breaches of data integrity
- Other factors contributing to ineffective monitoring programs
- Lack of funding - grant myopia
- The loss of a champion
- Out of nowhere
- Excessive bureaucracy
- Summary
- References
- Chapter 3 What makes long-term monitoring effective?
- Characteristics of effective monitoring programs
- Good questions and evolving questions
- The use of a conceptual model
- Selection of appropriate entities to measure
- Good design
- Well- developed partnerships
- Strong and dedicated leadership
- Potential to identify key emerging issues
- Ongoing funding
- Frequent use of data
- Scientific productivity
- Maintenance of data integrity and calibration of field techniques
- Little things matter a lot! Some ' tricks of the trade'
- Field transport
- Field staff
- Access to field sites
- Time in the field
- The adaptive monitoring framework
- Examples of the adaptive monitoring framework
- Adaptive monitoring is a general and not a prescriptive framework
- Increased future role for adaptive monitoring
- Summary
- References
- Chapter 4 The problematic, the effective and the ugly - some case studies
- The problematic
- PPBio Australasia
- The Alberta Biodiversity Monitoring Program (ABMP)
- EMAP
- The effective
- Rothamsted
- Ecosystem Health Monitoring Program (EHMP) for Moreton Bay in South East Queensland, Australia
- The Hubbard Brook Ecosystem Study
- The Central Highlands of Victoria, south- eastern Australia
- Need to wait and see
- NEON/ TERN
- The ugly
- Summary
- References
- Chapter 5 The upshot - our general conclusions
- Changes in culture needed to facilitate monitoring
- The academic culture and rewards systems
- Structure of organisations
- Funding
- Societal culture
- 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
- The challenges posed by differences in the kinds of entities that are monitored in different ecosystems
- Using environmental and economic accounts as a way to demonstrate the value of monitoring and cement support for monitoring in place
- Concluding remarks
- References
- Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- Y
- Z
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