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Design and Analysis of Long-term Ecological Monitoring Studies

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Robert A. Gitzen, Joshua J. Millspaugh, Joel H. Reynolds, Douglas H. Johnson, William L. Kendall, Clinton T. Moore, Trent McDonald, Anthony R. Olsen, Thomas M. Kincaid, Quinn Payton, N. Scott Urquhart, John R. Skalski, Brian R. Gray, Steven L. Garman, E. William Schweiger, Daniel J. Manier, Jonathan Bart, Hawthorne L. Beyer, Song S. Qian, Michael B. Soma, James B. Grace, Jon E. Keeley, Darren J. Johnson, Kenneth A. Bollen, Todd R. Lookingbill, John Paul Schmit, Shawn L. Carter, David R. Smith, Lei Yuancai, Christopher A. Walter, John A. Young, Darryl I. MacKenzie, Sarah J. Converse, J. Andrew Royle, Mevin B. Hooten, Beth E. Ross, Christopher K. Wikle, Wesley M. Hochachka, Daniel Fink, Benjamin Zuckerberg, Steven G. Fancy, Robert E. Bennetts, Hugh P. Possingham, Richard A. Fuller, Liana N. Joseph
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  • Date Published: July 2012
  • availability: In stock
  • format: Paperback
  • isbn: 9780521139298

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About the Authors
  • 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.

    • Covers fundamental issues and modern design and analytical approaches, providing a valuable resource for any ecologist whose work deals with ecological monitoring
    • Authored by a diverse group of experts practised at teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students
    • Many chapters include example software code (longer sections are available online at www.cambridge.org/9780521191548) to help readers apply methods appropriately to their own work
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    Product details

    • Date Published: July 2012
    • format: Paperback
    • isbn: 9780521139298
    • length: 590 pages
    • dimensions: 244 x 170 x 30 mm
    • weight: 0.93kg
    • contains: 84 b/w illus. 4 colour illus. 42 tables
    • availability: In stock
  • Table of Contents

    List of contributors
    Foreword
    Preface
    Acknowledgements
    Part I. Overview:
    1. Ecological monitoring: the heart of the matter Robert A. Gitzen and Joshua J. Millspaugh
    2. An overview of statistical considerations in long-term monitoring Joel H. Reynolds
    3. Monitoring (that) matters Douglas H. Johnson
    4. Maximizing the utility of monitoring to the adaptive management of natural resources William L. Kendall and Clinton T. Moore
    Part II. Survey Design:
    5. Spatial sampling designs for long-term ecological monitoring Trent McDonald
    6. Spatially balanced survey designs for natural resources Anthony R. Olsen, Thomas M. Kincaid and Quinn Payton
    7. The role of monitoring design in detecting trend in long-term ecological monitoring studies N. Scott Urquhart
    8. Estimating variance components and related parameters when planning long-term monitoring programs John R. Skalski
    9. Variance components estimation for continuous and discrete data, with emphasis on cross-classified sampling designs Brian R. Gray
    10. Simulating future uncertainty to guide the selection of survey designs for long-term monitoring Steven L. Garman, E. William Schweiger and Daniel J. Manier
    Part III. Data Analysis:
    11. Analysis options for estimating status and trends in long-term monitoring Jonathan Bart and Hawthorne L. Beyer
    12. Analytical options for estimating ecological thresholds – statistical considerations Song S. Qian
    13. The treatment of missing data in long-term monitoring programs Douglas H. Johnson and Michael B. Soma
    14. Survey analysis in natural resource monitoring programs with a focus on cumulative distribution functions Thomas M. Kincaid and Anthony R. Olsen
    15. Structural equation modeling and the analysis of long-term monitoring data James B. Grace, Jon E. Keeley, Darren J. Johnson and Kenneth A. Bollen
    Part IV. Advanced Issues and Applications:
    16. GRTS and graphs: monitoring natural resources in urban landscapes Todd R. Lookingbill, John Paul Schmit and Shawn L. Carter
    17. Incorporating predicted species distribution in adaptive and conventional sampling designs David R. Smith, Lei Yuancai, Christopher A. Walter and John A. Young
    18. Study design and analysis options for demographic and species occurrence dynamics Darryl I. MacKenzie
    19. Dealing with incomplete and variable detectability in multi-year, multi-site monitoring of ecological populations Sarah J. Converse and J. Andrew Royle
    20. Optimal spatio-temporal monitoring designs for characterizing population trends Mevin B. Hooten, Beth E. Ross and Christopher K. Wikle
    21. Use of citizen-science monitoring for pattern discovery and biological inference Wesley M. Hochachka, Daniel Fink and Benjamin Zuckerberg
    Part V. Conclusion:
    22. Institutionalizing an effective long-term monitoring program in the U.S. National Park Service Steven G. Fancy and Robert E. Bennetts
    23. Choosing among long-term ecological monitoring programs and knowing when to stop Hugh P. Possingham, Richard A. Fuller and Liana N. Joseph
    References
    Index.

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    General ResourcesData SetsList of Online Supplementspdf12KB0data sets general resources data sets general resourcesdata sets
    General ResourcesData SetsOnline Supplements File Indexpdf27KB1data sets general resources data sets general resourcesdata sets
    General ResourcesData SetsSupplementary Material Ch05pdf15KB2data sets general resources data sets general resourcesdata sets
    General ResourcesData SetsSupplementary Material Ch15zip50KB3data sets general resources data sets general resourcesdata sets
    General ResourcesData SetsSupplementary Material Ch12zip26KB4data sets general resources data sets general resourcesdata sets
    General ResourcesData SetsSupplementary Material Ch09zip287KB5data sets general resources data sets general resourcesdata sets
    General ResourcesData SetsSupplementary Material Ch07zip1924KB6data sets general resources data sets general resourcesdata sets

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Editors

    Robert A. Gitzen , University of Missouri, Columbia
    Robert A. Gitzen is a Research Scientist at the School of Natural Resources, University of Missouri, Columbia. He has worked closely with the U.S. National Park Service to develop monitoring studies in the northern Great Plains and has conducted numerous research studies focused on quantitative methods and wildlife conservation.

    Joshua J. Millspaugh, University of Missouri, Columbia
    Joshua J. Millspaugh is Professor and Pauline O'Connor Distinguished Professor of Wildlife Management at the University of Missouri, Columbia. He has written and edited three previous books on quantitative methods in ecology, received state and national awards for teaching, and serves frequently on scientific panels addressing pressing conservation issues.

    Andrew B. Cooper, Simon Fraser University, British Columbia
    Andrew B. Cooper is Associate Professor in the School of Resource and Environmental Management, Simon Fraser University, British Columbia. A quantitative ecologist, he has worked extensively with federal, state/provincial and regional fish and wildlife management agencies as well as a number of environmental conservation organizations in the USA and Canada.

    Daniel S. Licht, United States National Park Service
    Daniel S. Licht is Regional Wildlife Biologist for the Midwest Region of the U.S. National Park Service. Having worked on wildlife issues in many parts of the USA, his experience includes wildlife and habitat management and restoration, inventory and monitoring, research, and program administration.

    Contributors

    Robert A. Gitzen, Joshua J. Millspaugh, Joel H. Reynolds, Douglas H. Johnson, William L. Kendall, Clinton T. Moore, Trent McDonald, Anthony R. Olsen, Thomas M. Kincaid, Quinn Payton, N. Scott Urquhart, John R. Skalski, Brian R. Gray, Steven L. Garman, E. William Schweiger, Daniel J. Manier, Jonathan Bart, Hawthorne L. Beyer, Song S. Qian, Michael B. Soma, James B. Grace, Jon E. Keeley, Darren J. Johnson, Kenneth A. Bollen, Todd R. Lookingbill, John Paul Schmit, Shawn L. Carter, David R. Smith, Lei Yuancai, Christopher A. Walter, John A. Young, Darryl I. MacKenzie, Sarah J. Converse, J. Andrew Royle, Mevin B. Hooten, Beth E. Ross, Christopher K. Wikle, Wesley M. Hochachka, Daniel Fink, Benjamin Zuckerberg, Steven G. Fancy, Robert E. Bennetts, Hugh P. Possingham, Richard A. Fuller, Liana N. Joseph

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