Demographic Methods Across The Tree Of Life

Demography is everywhere in our lives: from birth to death. Indeed, the universal currencies of survival, development, reproduction, and recruitment shape the performance of all species, from microbes to humans. The number of techniques for demographic data acquisition and analyses across the entire tree of life (microbes, fungi, plants, and animals) has drastically increased in recent decades. These developments have been partially facilitated by the advent of technologies such as GIS and drones, as well as analytical methods including Bayesian statistics and high-throughput molecular analyses. However, despite the universality of demography and the significant research potential that could emerge from unifying: (i) questions across taxa, (ii) data collection protocols, and (iii) analytical tools, demographic methods to date have remained taxonomically siloed and methodologically disintegrated. This is the first book to attempt a truly unified approach to demography and population ecology in order to address a wide range of questions in ecology, evolution, and conservation biology across the entire spectrum of life. This novel book provides the reader with the fundamentals of data collection, model construction, analyses, and interpretation across a wide repertoire of demographic techniques and protocols. It introduces the novice demographer to a broad range of demographic methods, including abundance-based models, life tables, matrix population models, integral projection models, integrated population models, individual based models, and more. Through the careful integration of data collection methods, analytical approaches, and applications, clearly guided throughout with fully reproducible R scripts, the book provides an up-to-date and authoritative overview of the most popular and effective demographic tools. Demographic Methods across the Tree of Life is aimed at graduate students and professional researchers in the fields of demography, ecology, animal behaviour, genetics, evolutionary biology, mathematical biology, and wildlife management.

Demography is everywhere in our lives: from birth to death. Indeed, the universal currencies of survival, development, reproduction, and recruitment shape the performance of all species, from microbes to humans. The number of techniques for demographic data acquisition and analyses across the entire tree of life (microbes, fungi, plants, and animals) has drastically increased in recent decades. These developments have been partially facilitated by the advent of technologies such as GIS and drones, as well as analytical methods including Bayesian statistics and high-throughput molecular analyses. However, despite the universality of demography and the significant research potential that could emerge from unifying: (i) questions across taxa, (ii) data collection protocols, and (iii) analytical tools, demographic methods to date have remained taxonomically siloed and methodologically disintegrated. This is the first book to attempt a truly unified approach to demography and population ecology in order to address a wide range of questions in ecology, evolution, and conservation biology across the entire spectrum of life. This novel book provides the reader with the fundamentals of data collection, model construction, analyses, and interpretation across a wide repertoire of demographic techniques and protocols. It introduces the novice demographer to a broad range of demographic methods, including abundance-based models, life tables, matrix population models, integral projection models, integrated population models, individual based models, and more. Through the careful integration of data collection methods, analytical approaches, and applications, clearly guided throughout with fully reproducible R scripts, the book provides an up-to-date and authoritative overview of the most popular and effective demographic tools. Demographic Methods across the Tree of Life is aimed at graduate students and professional researchers in the fields of demography, ecology, animal behaviour, genetics, evolutionary biology, mathematical biology, and wildlife management.

This book offers an ideal introduction to the analysis of demographic data. Inside, readers of all quantitative skill levels will find the information they need to develop a solid understanding of the methods used to study human populations and how they change over time due to such factors as birth, death, and migration. The comprehensive, systematic coverage defines basic concepts and introduces data sources; champions the use of Lexis diagrams as a device for visualizing demographic measures; highlights the importance of making comparisons (whether over time or between populations at a point in time) that control for differences in population composition; describes approaches to analyzing mortality, fertility, and migration; and details approaches to the important field of population projection. Throughout, the author makes the material accessible for readers through careful exposition, the use of examples, and other helpful features. This book's thorough coverage of basic concepts and principles lays a firm foundation for anyone contemplating undertaking demographic research, whether in a university setting or in a professional employment that takes on a demographic dimension requiring in-house training.

Demography is the study of population structure and change. As modern society becomes ever more complex, it becomes increasingly important to be able to measure accurately all aspects of change in the population, and estimate what its future size and composition might be. This book describes and explains the methods demographers use to analyse population data. Looking at mortality and fertility, population dynamics and population projection, nuptiality and migration, Hinde demonstrates that most demographic methods are applications of certain fundamental principles. This book covers material taught in introductory courses in population analysis, while also including more advanced topics such as parity progression ratios, survival analysis and birth interval analysis. Most chapters are followed by a range of exercises, and a comprehensive set of solutions to these exercises is provided at the end of the book. Quattro and Excel spreadsheet files containing data for all the numerical exercises, plus some additional files of data from recent census and surveys, are available via the Internet.

Classroom-tested over many years and filled with fresh examples, Essential Demographic Methods is tailored to beginners, advanced students, and researchers. Award-winning teacher and eminent demographer Kenneth Wachter draws on themes from the individual lifecourse, history, and global change to bring out the wider appeal of demography.

This book provides an up-to-date overview of demographic analysis and methods, including recent developments in demography. Concepts and methods, from the nature of demographic information through data collection and the basics of statistical measures and on to demographic analysis itself are succinctly explained. Measures and analyses of fertility, mortality, life tables, migration and demographic events such as marriage, education and labour force are described while later chapters cover multiple decrement tables, population projections, the importance of testing and smoothing demographic data, the stable population model and demographic software. An emphasis on practical aspects and the use of real-life examples based on data from around the globe make this book accessible, whilst comprehensive references and links to data and other resources on the internet help readers to explore further. The text is concise and well written, making it ideally suited to a wider audience from students to academics and teachers. Students of demography, geography, sociology, economics, as well as professionals, academics and students of marketing, human resource management, and public health who have an interest in population issues will all find this book useful.

This book is the result of several years of experience in teaching principles and methods of demographic analysis at the Department of Demography of the University of Louvain. Chapters 1 and 2 deal with the basic principles and methods involved in the two approaches demographers usually take, i.e., cohort and period analysis. Chapters 3-6 are devoted to applying these principles and methods to the particular phenomena with which the demog rapher is especially concerned: mortality, nuptiality, natality, and spatial mobility. In order to maintain coherence, examples have been placed at the end of each major section instead of being dispersed throughout the text. This should enable the reader to grasp both the theory and the example as a whole, rather than envisaging the theory as a particular reply to a specific problem. Finally, each chapter ends with a list of references, to which is added a selection of major books and articles in population analysis drawn mainly from the American, British, and French demographic literature.

This book is intended as a relatively nontechnica1 introduction to eurrent demographie methods. It has been several years in preparation, beginning from occasional class handouts I wrote to elaborate on essential points of demographie methodology. Its growth from scattered notes to an integrated text was a natural process, if a gradual one. The eontent of the book addresses three objectives. first, I have tried to avoid demographie methods that are now dated. In some ehapters, that has meant eoncentrating on formulas most demographers recognize. In the ehap ters on life tables, it meant testing competing formulas on a variety of real and synthetie data se.ts, and dropping or relegating to footnotes those that were least accurate. Second, I have attempted to give readers a sense of the limits of different formulas and methods. I am a terse writer, however, and for the reader that means most sentences carry weight. Chapters should be read attentively, with careful regard to commentary as weIl as to formulas and examples. Finally, I have tried to make the principal methodologies of the book accessible, by offering explanations for formulas that are not obvious, by keeping examples to the forefront, and by placing relatively specialized topics in ehapter appendices.