Demography relates observable facts about individuals to the dynamics of populations. If the dynamics are linear and do not change over time, the classical theory of Lotka (1907) and Leslie (1945) is the central tool of demography. This book addresses the situation when the assumption of constancy is dropped. In many practical situations, a population will display unpredictable variation over time in its vital rates, which must then be described in statistical terms. Most of this book is concerned with the theory of populations which are subject to random temporal changes in their vital rates, although other kinds of variation (e. g. , cyclical) are also dealt with. The central questions are: how does temporal variation work its way into a population's future, and how does it affect our interpretation of a population's past. The results here are directed at demographers of humans and at popula tion biologists. The uneven mathematical level is dictated by the material, but the book should be accessible to readers interested in population the ory. (Readers looking for background or prerequisites will find much of it in Hal Caswell's Matrix population models: construction, analysis, and in terpretation (Sinauer 1989) ). This book is in essence a progress report and is deliberately brief; I hope that it is not mystifying. I have not attempted to be complete about either the history or the subject, although most sig nificant results and methods are presented.

This book broadens and deepens understanding of a wide range of population-climate change linkages. Incorporating population dynamics into research, policymaking and advocacy around climate change is critical for understanding trajectory of global greenhouse gas emissions, for developing and implementing adaptation plans and thus for global and national efforts to curtail this threat. The papers in this volume provide a substantive and methodological guide to the current state of knowledge on issues such as population growth and size and emissions; population vulnerability and adaptation linked to health, gender disparities and children; migration and urbanization; and the data and analytical needs for the next stages of policy-relevant research.

This report discusses the relationship between population and environmental change, the forces that mediate this relationship, and how population dynamics specifically affect climate change and land-use change.

This handbook presents a timely and comprehensive overview of theory, data, methods and research findings that connect human population dynamics and environmental context. It presents regional summaries of empirical findings on migration and environmental connections and summarizes environmental impacts of migration – such as urbanization and deforestation. It also offers background on the health implications of environmental conditions such as climate change, natural disasters, scarcity of natural resources, as well as on resource scarcity and fertility, gender considerations in population and environment, and the connections between population size, growth, composition and carbon emissions. This handbook helps readers to better understand the complexities within population-environment connections, in addition to some of the opportunities and challenges within environmental demography. As such this collection is an invaluable resource for students, researchers, and policy analysts in the areas of demography, migration, fertility, health and mortality, as well as environmental, global and development studies.

1. Demographic and environmental stochasticity -- 2. Extinction dynamics -- 3. Age structure -- 4. Spatial structure -- 5. Population viability analysis -- 6. Sustainable harvesting -- 7. Species diversity -- 8. Community dynamics.

A knowledge of animal population dynamics is essential for the proper management of natural resources and the environment. This book, now available in paperback, develops basic concepts and a rigorous methodology for the analysis of animal population dynamics to identify the underlying mechanisms.