Ecological Statistics Contemporary theory and application

by Fox, Gordon A.; Negrete-Yankelevich, Simoneta; Sosa, Vinicio J.

• ISBN13: 9780199672554
• ISBN10: 0199672555
• Format: Paperback
• Copyright: 2015-03-29
• Publisher: Oxford University Press

Author Biography

Gordon A. Fox, Associate Pofessor, Department of Integrative Biology, University of South Florida,Simoneta Negrete-Yankelevich, Researcher in the Functional Ecology Network, Instituto de Ecologia A.C. Mexico,Vinicio J. Sosa, Researcher in the Functional Ecology Network, Instituto de Ecologia A.C. Mexico

Gordon Fox received his Ph.D. from the University of Arizona and was a postdoctoral fellow at the University of South Florida. He is currently Associate 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.

Table of Contents

Introduction, Vinicio J. Sosa, Simoneta Negrete-Yankelevich, and Gordon A. Fox
1. Approaches to statistical inference, Michael A. McCarthy
2. Having the right stuff: the effects of data constraints on ecological data analysis, Earl D. McCoy
3. Likelihood and Model Selection, Shane A. Richards
4. Missing Data: Mechanisms, Methods and Messages, Shinichi Nakagawa
5. What you don't know can hurt you: censored and truncated data in ecological research, Gordon A. Fox
6. Generalized linear models, Yvonne M. Buckley
7. A statistical symphony: instrumental variables reveal causality and control measurement error, Bruce E. Kendall
8. Structural equation modeling: building and evaluating causal models, James B. Grace, Samuel M. Scheiner, and Donald R. Schoolmaster, Jr.
9. Research synthesis methods in ecology, Jessica Gurevitch and Shinichi Nakagawa
10. Spatial variation and linear modeling of ecological data, Simoneta Negrete-Yankelevich and Gordon A. Fox
11. Statistical approaches to the problem of phylogenetically correlated data, Marc J. Lajeunesse and Gordon A. Fox
12. Mixture Models for Overdispersed Data, Jonathan R. Rhodes
13. Linear and generalized linear mixed models, Benjamin M. Bolker
Appendix