Demographic Methods across the Tree of Life - Softcover

Softcover

ISBN 10: 0198838611 ISBN 13: 9780198838616

Publisher: OUP Oxford, 2021

Synopsis

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.

About this title

About the Author

Roberto Salguero-Gómez is Associate Professor in Ecology at the Department of Zoology and a Tutorial Fellow at Pembroke College at the University of Oxford, UK. He also holds research affiliations at the University of Sheffield, UK, the University of Queensland, Australia, and the Max Planck Institute for Demographic Research, Germany. He studies population responses to climate change, the evolution of senescence, and drivers of variation in life history trait variation across plants and animals. He has authored over 80 peer-reviewed papers, including articles in Nature, PNAS, Nature Ecology and Evolution and Ecology Letters. He serves as Associate Editor at Ecology Letters, Journal of Ecology, Journal of Animal Ecology, and Theoretical Population Biology. He has also edited 10 special features and published the book "The Evolution of Senescence in the Tree of Life" (2017).

Marlène Gamelon is a Researcher at the Centre National de la Recherche Scientifique (CNRS) in Lyon, France. She is also researcher at the Centre for Biodiversity Dynamics (CBD) at the University of Science and Technology (NTNU) in Trondheim, Norway. She is interested in understanding how free-ranging animal populations respond to environmental changes, including abiotic (climate conditions), anthropogenic (harvest), and biotic (intra- and interspecific interactions) factors. Her work mainly relies on individual long-term monitoring of birds and mammals. She has authored peer-reviewed papers, including articles in Trends in Ecology and Evolution, Ecology Letters, Evolution, Journal of Animal Ecology and the American Naturalist.

Edition details

• Publisher: OUP Oxford
• Publication date: 2021
• Language: English
• ISBN 10: 0198838611
• ISBN 13: 9780198838616
• Binding: Paperback
• Number of pages: 400
• Editor: Salguero-Gomez Roberto, Gamelon Marlène