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Predicting Species Occurrences

Issues of Accuracy and Scale

 Predicting Species Occurrences
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Edited by J. Michael Scott, Patricia J. Heglund, and Michael L. Morrison; Foreword by Peter H. Raven

Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.

Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that:

  • review the history of the theory and practice of modeling and present a standard terminology
  • examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution
  • offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy
  • discuss how to predict species presence and abundance
  • present examples of how spatially explicit data on demographics can provide important information for managers
An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.

Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.



• Sampling Rare Populations

• Separating Components of Detection Probability in Abundance
Estimation: An    Overview with Diverse
Examples

• Indexes as Surrogates to Abundance for Low-Abundance Species


• Application of Adaptive Sampling to Biological Populations

• Two-Phase Adaptive Stratified Sampling

• Sequential Sampling for Rare or Geographically Clustered
Populations

• Occupancy Estimation and Modeling for Rare and 
Elusive Species

• A Bayesian Approach to Estimating Presence When a Species is
Undetected

• Searching for New Populations of Rare Plant Species in
Remote Locations

• Using Non-invasive Genetic Sampling to Detect and Estimate
Abundance of Rare Wildlife Species

• Photographic Sampling of Elusive Mammals in Tropical Forests


• Using Probability Sampling of Animal Tracks in Snow to
Estimate Abundance

• Sampling Rockfish Populations: Adaptive Sampling and
Hydroacoustics

• Survival Estimation in Bats: Historical Overview, Critical
Appraisal, and Suggestions for New Approaches

• Evaluating Methods for Monitoring Populations of Mexican
Spotted Owls: A Case Study

• Future Directions in Estimating Abundance of Rare or Elusive
Species



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