Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information
King, R., Brooks, S. P., and Coulson, T. (2008), “Analyzing complex capture-recapture data in the presence of ... Leibold, M.A., Holyoak, M., Mouquet, N., Amarasekare, P., Chase, J. M., Hoopes, M. F., Holt, R. D., Shurin, J. B., Law, ...
Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade.
... Evan Grant, Tabitha Graves, Marc Kéry, Brett McClintock, Leslie New, Allan O'Connell, Krishna Pacifici, Agustín Paviolo, Brian Reich, Robin Russell, Sabrina Servanty, Cat Sun, Yifang Li, Earvin Balderama, and Chris Sutherland.
Introduction to the essential theories of key models used by ecologists Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS Provides every detail of R and WinBUGS code required to conduct ...
This book shows the lessons learned from teaching this material to several cohorts of graduate students. No other book I've read gives such a good feel for the compromises scientists have to make in searching for good statistical models.
Pledger, S., Pollock, K.H., Norris, J.L., 2003. Open capture–recapture models with heterogeneity: I. Cormack–Jolly–Seber model. Biometrics 59, 786–794. Plummer, M., 2003. JAGS: a program for analysis of Bayesian graphical models using ...
A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.
However, in year 15, recapture effort was zero, and hence we fix recapture probability at zero in that year. ... occasionsCR-1)){ p[t]
The goal of this important volume is to link management, evaluation, and conservation to modeling, estimation, and decision-making methods. Four major sections review these methods and applications in science-based conservation.
This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses.