Analyzing Animal Societies

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.

The scientific study of networks - computer, social, and biological - has received an enormous amount of interest in recent years. However, the network approach has been applied to the field of animal behaviour relatively late compared to many other biological disciplines. Understanding social network structure is of great importance for biologists since the structural characteristics of any network will affect its constituent members and influence a range of diverse behaviours. These include finding and choosing a sexual partner, developing and maintaining cooperative relationships, and engaging in foraging and anti-predator behavior. This novel text provides an overview of the insights that network analysis has provided into major biological processes, and how it has enhanced our understanding of the social organisation of several important taxonomic groups. It brings together researchers from a wide range of disciplines with the aim of providing both an overview of the power of the network approach for understanding patterns and process in animal populations, as well as outlining how current methodological constraints and challenges can be overcome. Animal Social Networks is principally aimed at graduate level students and researchers in the fields of ecology, zoology, animal behaviour, and evolutionary biology but will also be of interest to social scientists.

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

Did you know that Tasmanian hens have two husbands? That cellular slime molds commit suicide? That vampire bats will share food with hungry fellow bats and that hanuman langurs commit infanticide? Why creatures great and small behave in such fascinating and seemingly perplexing ways is explained in this delightful account of the evolutionary foundations of animal social behavior. Only in recent years have biologists and ethologists begun to apply careful evolutionary thinking to the study of animal societies--and with spectacular results. This book presents the choicest of these findings, with a remarkable wealth of insights into the myriad strategies that animals have developed to perpetuate their kind. In an irresistible style, Raghavendra Gadagkar explores the strategies of cooperation and conflict adopted by animals--from the lordly lion to the primitive wasp worker--as they choose mates, raise their young, communicate with others, and establish the division of labor necessary to feed and protect the group and safeguard their territory. Whether focusing on the birds or the bees, this book offers both superb descriptions and lucid explanations of many different behaviors encountered in the animal world: why a ground squirrel will sound an alarm--even risk its own safety--to warn fellow squirrels of impending danger; why weaver ant larvae donate silk for nest building; why house mice raise their offspring in a communal nursery; and how animals can recognize the relatives they want to favor--or avoid. Illustrated with both photographs and explanatory diagrams, this expert and inviting tour of the social world of animals will inform and charm anyone curious about the motivations behind the amazing range of activity in the animal kingdom.

A major advancement in understanding the factors underlying wildlife-habitat relationships, Foundations for Advancing Animal Ecology will be an invaluable resource to professionals and practitioners in natural resource management in public and private sectors, including state and federal agencies, non-governmental organizations, and environmental consultants.

Dreaming of a life of freedom and equality, the animals of Manor Farm stage an uprising against their negligent human master, Mr Jones. However, their dream rapidly turns sour and most of the animals don't realise that one form of tyranny has replaced another until it is too late. This edition comes with accessible and informative notes.

This book explores the strikingly similar ways in which information is encoded in nonverbal man-made signals (e.g., traffic lights and tornado sirens) and animal-evolved signals (e.g., color patterns and vocalizations). The book also considers some coding principles for reducing certain unwanted redundancies and explains how desirable redundancies enhance communication reliability. Jack Hailman believes this work pioneers several aspects of analyzing human and animal communication. The book is the first to survey man-made signals as a class. It is also the first to compare such human-devised systems with signaling in animals by showing the highly similar ways in which the two encode information. A third innovation is generalizing principles of quantitative information theory to apply to a broad range of signaling systems. Finally, another first is distinguishing among types of redundancy and their separation into unwanted and desirable categories. This remarkably novel book will be of interest to a wide readership. Appealing not only to specialists in semiotics, animal behavior, psychology, and allied fields but also to general readers, it serves as an introduction to animal signaling and to an important class of human communication.