Quantitative Analyses in Wildlife Science

Leonard A. Brennan, a Wildlife Society Fellow, is the C. C. "Charlie" Winn Endowed Chair for Quail Research Professor at the Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville. Andrew N. Tri is a research wildlife biologist with the Forest Wildlife and Populations Research Group at the Minnesota Department of Natural Resources and an adjunct faculty member at the Caesar Kleberg Wildlife Research Institute, Texas A&M University–Kingsville. Bruce G. Marcot is a research wildlife biologist with the Pacific Northwest Research Station and the coauthor of Wildlife Habitat Relationships: Concepts and Applications.

This is primarily a book for students and working wildlife management professionals; however that is not to say that it is, or should be, outside the realm of consideration by those with a sincere interest in how wildlife researchers collect and interpret data. As so many aspects of contemporary wildlife conservation revolve around what the number are, how they were collected, and how they are interpreted, most anyone with a serious interest in wildlife conservation would do well to at least understand how the metaphorical sausage is made – even if they're not making it themselves. To that end, this is most certainly the book from which to best acquire such an understanding.—Johannes E. Riutta, The Well-Read Naturalist

• List of ContributorsForeword, by R. J. GutiérrezPrefaceAcknowledgments1 IntroductionLeonard A. Brennan, Andrew N. Tri, and Bruce G. MarcotPART I GENERAL STATISTICAL METHODS2 Regression: Linear and Nonlinear, Parametricband NonparametricDavid B. Wester3 Multivariate Models and AnalysesErica F. Stuber, Christopher C. Chizinski, Jeffrey J. Lusk, and Joseph J. Fontaine4 Comparing Ecological ModelsMevin B. Hooten and Evan G. CoochPART II ESTIMATION OF ABUNDANCE AND DEMOGRAPHIC PARAMETERS5 Estimation of Population Parameters Using Marked AnimalsGary C. White6 Distance SamplingStephen T. Buckland, David L. Miller, and Eric Rexstad7 Occupancy Modeling ApplicationsChris Sutherland and Daniel W. LindenPART III DYNAMIC MODELING OF PROCESSES8 Analysis of Population Monitoring DataJamie S. Sanderlin, Michael L. Morrison, and William M. Block9 Systems Analysis and SimulationStephen J. Demaso and Joseph P. Sands10 Applications of Individual-Based ModelsJulie A. Heinrichs and Bruce G. Marcot11 Detecting and Analyzing Density DependenceZachary S. Ladin and Christopher K. WilliamsPART IV ANALYSIS OF SPATIALLY BASED DATA ON ANIMALS AND RESOURCES12 Resource Selection AnalysisJulianna M. A. Jenkins, Damon B. Lesmeister, and Raymond J. Davis13 Spatial Statistics in Wildlife ResearchAndrew N. TriPART V NUMERICAL METHODS14 Bayesian Analysis of Molecular Genetics DataDamon L. Williford and Randy W. Deyoung15 Machine Learning, Random Forests, and Boosted Regression TreesJane Elith16 Causal Modeling and the Role of Expert KnowledgeBruce G. Marcot17 Summary and Synthesis: Looking to the FutureAndrew N. Tri, Bruce G. Marcot, and Leonard A. BrennanIndex