Terminology, conceptual overview, biogeography, modeling.

Ecologists traditionally regard time as part of the background against which ecological interactions play out. In this book, Eric Post argues that time should be treated as a resource used by organisms for growth, maintenance, and offspring production. Post uses insights from phenology—the study of the timing of life-cycle events—to present a theoretical framework of time in ecology that casts long-standing observations in the field in an entirely new light. Combining conceptual models with field data, he demonstrates how phenological advances, delays, and stasis, documented in an array of taxa, can all be viewed as adaptive components of an organism’s strategic use of time. Post shows how the allocation of time by individual organisms to critical life history stages is not only a response to environmental cues but also an important driver of interactions at the population, species, and community levels. To demonstrate the applications of this exciting new conceptual framework, Time in Ecology uses meta-analyses of previous studies as well as Post’s original data on the phenological dynamics of plants, caribou, and muskoxen in Greenland.

Various approaches have been developed to evaluate the consequences of spatial structure on evolution in subdivided populations. This book is both a review and new synthesis of several of these approaches, based on the theory of spatial genetic structure. François Rousset examines Sewall Wright's methods of analysis based on F-statistics, effective size, and diffusion approximation; coalescent arguments; William Hamilton's inclusive fitness theory; and approaches rooted in game theory and adaptive dynamics. Setting these in a framework that reveals their common features, he demonstrates how efficient tools developed within one approach can be applied to the others. Rousset not only revisits classical models but also presents new analyses of more recent topics, such as effective size in metapopulations. The book, most of which does not require fluency in advanced mathematics, includes a self-contained exposition of less easily accessible results. It is intended for advanced graduate students and researchers in evolutionary ecology and population genetics, and will also interest applied mathematicians working in probability theory as well as statisticians.

Mammalian Dispersal Patterns examines the ways that social structure affects population genetics and, in turn, rates of evolution, in mammalian groups. It brings together fieldwork in animal behavior and wildlife biology with theoretical work in demography and population genetics. The focus here is dispersal—whether, how, and when individuals leave the areas where they are born. Theoretical work in population genetics indicates that such social factors as skewed sex ratios, restrictive mating patterns, and delayed age of first reproduction will lower the reproductive variability of a population by reducing the number of genotypes passed from one generation to the next. Field studies have shown that many mammalian species do exhibit many such social characteristics. Among horses, elephant seals, and a number of primates, the majority of females are inseminated by only a fraction of the males. In pacts of wolves and mongooses, usually only the highest-ranking male and female breed in a given season. Although socially restricted mating tends to lower genetic variability in isolated populations, it actually tends to increase genetic variability in subdivided populations with low rates of migration between subunits. Among some species there is little dispersal and thus little gene flow between subpopulations; other species travel far afield before mating. The contributors to this volume examine actual data from populations of mammals, the way patterns of dispersal correlate with the genetic structure of individuals and populations, and mathematical models of population structure. This interdisciplinary approach has an important bearing on work in conservation of both wildlife and zoo populations, for it shows that the home range and the population size needed to maintain genetic variability can differ greatly from one species to the next. The volume also offers a fruitful model for future research.

Mammalian Dispersal Patterns examines the ways that social structure affects population genetics and, in turn, rates of evolution, in mammalian groups. It brings together fieldwork in animal behavior and wildlife biology with theoretical work in demography and population genetics. The focus here is dispersal—whether, how, and when individuals leave the areas where they are born. Theoretical work in population genetics indicates that such social factors as skewed sex ratios, restrictive mating patterns, and delayed age of first reproduction will lower the reproductive variability of a population by reducing the number of genotypes passed from one generation to the next. Field studies have shown that many mammalian species do exhibit many such social characteristics. Among horses, elephant seals, and a number of primates, the majority of females are inseminated by only a fraction of the males. In pacts of wolves and mongooses, usually only the highest-ranking male and female breed in a given season. Although socially restricted mating tends to lower genetic variability in isolated populations, it actually tends to increase genetic variability in subdivided populations with low rates of migration between subunits. Among some species there is little dispersal and thus little gene flow between subpopulations; other species travel far afield before mating. The contributors to this volume examine actual data from populations of mammals, the way patterns of dispersal correlate with the genetic structure of individuals and populations, and mathematical models of population structure. This interdisciplinary approach has an important bearing on work in conservation of both wildlife and zoo populations, for it shows that the home range and the population size needed to maintain genetic variability can differ greatly from one species to the next. The volume also offers a fruitful model for future research.

In this book, Jeff Mitton explains the questions that geneticists hoped to answer by studying protein variation. He reviews the extensive literature on protein variation, describes the successes and failures of the research program, and evaluates the results of a rich and controversial body of research. The laboratory and field studies using protein polymorphisms revealed dynamic interactions among genotypes, fitness differentials, and fluctuating environmental conditions, and inadvertently wedded the fields of physiological ecology and population biology. Mitton's book is a useful analysis for all scientists interested in the genetic structure and evolution of populations.

Although the long-term processes of evolution are selection and mutation, the infrastructure of a population is a no less important force in determining the distributions of genetic characteristics observable within populations. In small populations, and in particular in human populations, complex patterns of genealogical relationship between individuals can be an important factor in the maintenance of genetic variability. The aim of this book is to develop the quantitative theory of the interrelationship between the genealogical and the genetic structures of a population. Aspects of other structural features, such as migration patterns, are also discussed, but are not central to the development. There are three major aspects; each comprises two chapters of the text. First, genealogical relationships are characterized in a way which can illuminate their genetic consequences. Second, the evolutionary aspects of genealogical structure are developed. Finally, the last two chapters present methods of characterizing the complete structure of a genealogy, and of computing relevant parameters of genealogical structure; these topics are of relevance to genetic epidemiology as well as to population genetics.