Michael A. McCarthy

The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses. Free software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to academic researchers, upper undergraduate and graduate students of Ecology.

Bayesian Methods for Ecology

Barry Eidlin

This volume draws together scholars rethinking social scientific and theoretical approaches to a wide range of forms of social difference and inequality. These include race, nationalism, sexuality, professional classes, domestic employment, digital communication, and uneven economic development

Rethinking Class and Social Difference

Mark A. Burgman

H. Resit Akcakaya

Oskar Kindvall

Chris C. Wood

Per Sjogren-Gulve

Jeff S. Hatfield

This edited volume is a collection of population and metapopulation models for a wide variety of species, including plants, invertebrates, fishes, amphibians, reptiles, birds, and mammals. Each chapter of the book describes the application of RAMAS GIS 4.0 to one species, with the aim of demonstrating how various life history characteristics of the species are incorporated into the model, and how the results of the model has been or can be used in conservation and management of the species. The book comes with a CD that includes a demo version of the program, and the data files for each species.

Case Studies

Species Conservation and Management

Michael A. McCarthy

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