Animals lead rich social lives. They care for one another, compete for resources, and mate. Within a society, social relationships may be simple or complex and usually vary considerably, both between different groups of individuals and over time. These social systems are fundamental to biological organization, and animal societies are central to studies of behavioral and evolutionary biology. But how do we study animal societies? How do we take observations of animals fighting, grooming, or forming groups and produce a realistic description or model of their societies? Analyzing AnimalSocieties presents a conceptual framework for analyzing social behavior and demonstrates how to put this framework into practice by collecting suitable data on the interactions and associations of individuals so that relationships can be described, and, from these, models can be derived. In addition to presenting the tools, Hal Whitehead illustrates their applicability using a wide range of real data on a variety of animal species—from bats and chimps to dolphins and birds. The techniques that Whitehead describes will be profitably adopted by scientists working with primates, cetaceans, birds, and ungulates, but the tools can be used to study societies of invertebrates, amphibians, and even humans. Analyzing AnimalSocieties will become a standard reference for those studying vertebrate social behavior and will give to these studies the kind of quality standard already in use in other areas of the life sciences.

This book demonstrates the application of network theory to the social organization of animals.

This textbook provides a full overview of human-animal studies. It focuses on the conceptual construction of animals in American culture and the way in which it reinforces and perpetuates hierarchical human relationships rooted in racism, sexism, and class privilege.

Social network analysis is used widely in the social sciences to study interactions among people, groups, and organizations, yet until now there has been no book that shows behavioral biologists how to apply it to their work on animal populations. Exploring Animal Social Networks provides a practical guide for researchers, undergraduates, and graduate students in ecology, evolutionary biology, animal behavior, and zoology. Existing methods for studying animal social structure focus either on one animal and its interactions or on the average properties of a whole population. This book enables researchers to probe animal social structure at all levels, from the individual to the population. No prior knowledge of network theory is assumed. The authors give a step-by-step introduction to the different procedures and offer ideas for designing studies, collecting data, and interpreting results. They examine some of today's most sophisticated statistical tools for social network analysis and show how they can be used to study social interactions in animals, including cetaceans, ungulates, primates, insects, and fish. Drawing from an array of techniques, the authors explore how network structures influence individual behavior and how this in turn influences, and is influenced by, behavior at the population level. Throughout, the authors use two software packages--UCINET and NETDRAW--to illustrate how these powerful analytical tools can be applied to different animal social organizations.

Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations. Integrates population modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework Provides authoritative, state-of-the-art descriptions of quantitative approaches to modeling, estimation and decision-making Emphasizes the role of mathematical modeling in the conduct of science and management Utilizes a unifying biological context, consistent mathematical notation, and numerous biological examples

Having got rid of their human masters, the animals of Manor Farm look forward to a life of freedom and plenty. But gradually a cunning, ruthless elite emerges and the other animals discover that they are not as equal as they thought."

For over 25 years, primatologists have speculated that intelligence, at least in monkeys and apes, evolved as an adaptation to the complicated social milieu of hard-won friendships and bitterly contested rivalries. Yet the Balkanization of animal research has prevented us from studying the same problem in other large-brained, long-lived animals, such as hyenas and elephants, bats and sperm whales. Social complexity turns out to be widespread indeed. For example, in many animal societies one individual's innovation, such as tool use or a hunting technique, may spread within the group, thus creating a distinct culture. As this collection of studies on a wide range of species shows, animals develop a great variety of traditions, which in turn affect fitness and survival. The editors argue that future research into complex animal societies and intelligence will change the perception of animals as gene machines, programmed to act in particular ways and perhaps elevate them to a status much closer to our own. At a time when humans are perceived more biologically than ever before, and animals as more cultural, are we about to witness the dawn of a truly unified social science, one with a distinctly cross-specific perspective?