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Ecological Statistics


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Table of Contents

Vinicio J. Sosa, Simoneta Negrete-Yankelevich, and Gordon A. Fox: Introduction 1: Michael A. McCarthy: Approaches to Statistical Inference 2: Earl D. McCoy: Having the Right Stuff: the Effects of Data Constraints on Ecological Data Analysis 3: Shane A. Richards: Likelihood and Model Selection 4: Shinichi Nakagawa: Missing Data: Mechanisms, Methods and Messages 5: Gordon A. Fox: What You Don't Know Can Hurt You: Censored and Truncated Data in Ecological Research 6: Yvonne M. Buckley: Generalized Linear Models 7: Bruce E. Kendall: A Statistical Symphony: Instrumental Variables Reveal Causality and Control Measurement Error 8: James B. Grace, Samuel M. Scheiner, and Donald R. Schoolmaster, Jr.: Structural Equation Modeling: Building and Evaluating Causal Models 9: Jessica Gurevitch and Shinichi Nakagawa: Research Synthesis Methods in Ecology 10: Simoneta Negrete-Yankelevich and Gordon A. Fox: Spatial Variation and Linear Modeling of Ecological Data 11: Marc J. Lajeunesse and Gordon A. Fox: Statistical Approaches to the Problem of Phylogenetically Correlated Data 12: Jonathan R. Rhodes: Mixture Models for Overdispersed Data 13: Benjamin M. Bolker: Linear and Generalized Linear Mixed Models Appendix

About the Author

Gordon Fox received his Ph.D. from the University of Arizona and was a postdoctoral fellow at the University of California, Davis. He is currently Professor in the Department of Integrative Biology at the University of South Florida. His research involves theoretical issues in ecology and population biology, and empirical studies of plant populations. He teaches at both the graduate and undergraduate levels, and supervises M.S. and Ph.D. students. He is co-author (with J. Gurevitch and S. M. Scheiner) of the textbook The Ecology of Plants, and co-editor (with C. K. Kelly and M. G. Bowler) of Temporal Niche Dynamics and Ecological Process. Fox is an associate editor of Ecology, and a Fellow of the American Association for the Advancement of Science (AAAS). Simoneta Negrete-Yankelevich received her doctorate from the University of Edinburgh, and was a postdoctoral fellow within the Conservation and Sustainable Management of Belowground Biodiversity project (GEF-UNEP-TSBF). She is currently a researcher in the Functional Ecology Network of the Instituto de Ecologia A.C. in Mexico and a member of the Mexican National System of Researchers. She works on issues related to the temporal and spatial dimensions of disturbance in tropical agroecosystems. She coordinates and participates in research projects related to the long term effects of human disturbance on soil biota, fertility and functioning in the tropics. She teaches statistics courses for graduate students on linear models, spatial statistics, and multivariate statistics, and supervises M.S. and Ph.D. theses related to spatial issues in soil ecology. Vinicio J. Sosa received his Ph.D. from the University of Miami, and has an Applied Statistics Specialization from the Instituto de Investigaciones en Matematicas Aplicadas y en Sistemas (IIMAS) at the Universidad Nacional Autonoma de Mexico (UNAM). He is a researcher in the Instituto de Ecologia A.C. in Mexico and a member of the Mexican National System of Researchers (SNI II). Sosa has extensive experience in applied ecological problems, especially on environmental impacts of infrastructure development. His current research focuses on the effect of landscape fragmentation on flying vertebrate communities, and on mutualistic relationships between columnar cacti and bats. He teaches graduate-level statistics courses for the Instituto de Ecologia, A. C., and acts as consulting statistician within the Instituto. He is associate editor of Acta Zoologica Mexicana.


We would be glad to adopt this as a textbook and recommend it as a resource for graduate students who need to strengthen their understanding of modern statistical approaches that can inform ecological problems. * Brian D. Inouye and Scott C. Burgess, The Quarterly Review of Biology *
In this well-written and well-edited book, the authors successfully convey an understanding of statistics, rather than just a menu of statistical procedures. Ideas are explained preferentially by examples and illustration, and mathematical formalism is held at a minimum ... This book is a source of coherent statistical understanding. * Conservation Biology *
This is a rich selection of the new canon of ecological statistics. Most examples are illustrated with the relevant R code, all of which is available online. As a result, this is not just an introduction to the theory underlying new approaches - it is a hands-on introduction to their use! Importantly, the chapters - though cross-referenced - are self-contained. As such, many practising ecologists will be able to dip in to a chapter that covers a particular problem that they are facing. That is a real strength of this book and suggests that most ecological research groups will benefit from access to at least one copy. * British Ecological Society Bulletin *
Ecological Statistics: Contemporary Theory and Applications is an amazing piece of work that deftly performs the unenviable task of presenting the "need to know" methods of a complex field. ... This book would be a valuable addition to any course asking students to expand their statistical comfort zone, but also easily lends itself to self-study for those wishing to join the conversation of ecological statistics. * Plant Science Bulletin *
Ecological Statistics opens with a commendable introduction that makes some great points and provides an insightful big-picture perspective. * Megan D. Higgs, BioScience *

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