Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010321263 | QH541.15.M64 D46 2012 | Open Access Book | Book | Searching... |
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Summary
Summary
To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecological monitoring. Supplementary example software code is available online at www.cambridge.org/9780521191548.
Table of Contents
| List of contributors |
| Foreword |
| Preface |
| Acknowledgements |
| Part I Overview: |
| 1 Ecological monitoring: the heart of the matterRobert A. Gitzen and Joshua J. Millspaugh |
| 2 An overview of statistical considerations in long-term monitoringJoel H. Reynolds |
| 3 Monitoring (that) mattersDouglas H. Johnson |
| 4 Maximizing the utility of monitoring to the adaptive management of natural resourcesWilliam L. Kendall and Clinton T. Moore |
| Part II Survey Design: |
| 5 Spatial sampling designs for long-term ecological monitoringTrent McDonald |
| 6 Spatially balanced survey designs for natural resourcesAnthony R. Olsen and Thomas M. Kincaid and Quinn Payton |
| 7 The role of monitoring design in detecting trend in long-term ecological monitoring studiesN. Scott Urquhart |
| 8 Estimating variance components and related parameters when planning long-term monitoring programsJohn R. Skalski |
| 9 Variance components estimation for continuous and discrete data, with emphasis on cross-classified sampling designsBrian R. Gray |
| 10 Simulating future uncertainty to guide the selection of survey designs for long-term monitoringSteven L. Garman and E. William Schweiger and Daniel J. Manier |
| Part III Data Analysis: |
| 11 Analysis options for estimating status and trends in long-term monitoringJonathan Bart and Hawthorne L. Beyer |
| 12 Analytical options for estimating ecological thresholds - statistical considerationsSong S. Qian |
| 13 The treatment of missing data in long-term monitoring programs DouglasH. Johnson and Michael B. Soma |
| 14 Survey analysis in natural resource monitoring programs with a focus on cumulative distribution functionsThomas M. Kincaid and Anthony R. Olsen |
| 15 Structural equation modeling and the analysis of long-term monitoring dataJames B. Grace and Jon E. Keeley and Darren J. Johnson and Kenneth A. Bollen |
| Part IV Advanced Issues and Applications: |
| 16 GRTS and graphs: monitoring natural resources in urban landscapesTodd R. Lookingbill and John Paul Schmit and Shawn L. Carter |
| 17 Incorporating predicted species distribution in adaptive and conventional sampling designsDavid R. Smith and Lei Yuancai and Christopher A. Walter and John A. Young |
| 18 Study design and analysis options for demographic and species occurrence dynamicsDarryl I. MacKenzie |
| 19 Dealing with incomplete and variable detectability in multi-year, multi-site monitoring of ecological populations SarahJ. Converse and J. Andrew Royle |
| 20 Optimal spatio-temporal monitoring designs for characterizing population trendsMevin B. Hooten and Beth E. Ross and Christopher K. Wikle |
| 21 Use of citizen-science monitoring for pattern discovery and biological inferenceWesley M. Hochachka and Daniel Fink and Benjamin Zuckerberg |
| Part V Conclusion: |
| 22 Institutionalizing an effective long-term monitoring program in the U.S. National Park ServiceSteven G. Fancy and Robert E. Bennetts |
| 23 Choosing among long-term ecological monitoring programs and knowing when to stopHugh P. Possingham and Richard A. Fuller and Liana N. Joseph |
| References |
| Index |
