Provides 214 two-page species accounts providing information on the species' geographic range, habitat preference, breeding biology, history, conservation concerns, and population trends. Another 23 species less common species are covered in additional accounts. The book also contains color photographs and maps. Data were collected from 1995-2000.

The Migration Ecology of Birds, Second Edition covers all aspects of this absorbing subject, including migratory processes, problems of navigation and vagrancy, timing and physiological control of migration, large-scale movement patterns, the effects of recent climate change, the problems that migrants face, and the factors that limit their populations. This book provides a thorough and in-depth review of the state of the science, with the text supplemented by abundant tables, maps and diagrams. Written by a world-renowned avian ecology and migration researcher, this book reveals the extraordinary adaptability of birds to the variable and changing conditions across the globe. This book represents the most updated and detailed review of bird migration, its evolution, ecology and bird physiology. Written in a clear and readable style, it will appeal not only to migration researchers in the field and ornithologists, but to anyone with an interest in this fascinating subject. Features updated and trending ecological aspects, including various types of bird movements, dispersal and nomadism, and how they relate to food supplies and other external conditions Contains numerous tables, maps, diagrams, a glossary, and a bibliography of more than 3,000 up-to-date references Written by an active researcher with a distinguished career in avian ecology, including migration research

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS Computing support in technical appendices in an online companion web site