Overview
Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses.
Full Product Details
Author: Michael Schaub (Head of Ecology, Swiss Ornithological Institute, Sempach, Switzerland) ,
Marc Kéry (Senior Scientist, Swiss Ornithological Institute, Basel, Switzerland)
Publisher: Elsevier Science & Technology
Imprint: Academic Press Inc
Weight: 1.990kg
ISBN: 9780323908108
ISBN 10: 0323908101
Pages: 638
Publication Date: 16 November 2021
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
This book represents the fourth in a series involving one or both of these authors. Their volumes all provide the theory underpinning the models, a heuristic description of the models, and R code for implementing them. Their books and accompanying workshops are fueling a rapid shift in the approach to analyses of ecological data. This newest work will move population ecology fully into the Bayesian paradigm. Every important advance in methodology is, however, a double-edged sword; with the increased analytical power comes an increase in the number and magnitude of potential errors. Integrated population models are no exception. Schaub and Kery address many of these potential problems but they could have been a bit stronger in emphasizing the importance of such problems. Despite this minor criticism, this is an important volume that will revolutionize the practice of population ecology. Every population ecologist should own a copy. --The Quarterly Review of Biology
"""This book represents the fourth in a series involving one or both of these authors. Their volumes all provide the theory underpinning the models, a heuristic description of the models, and R code for implementing them. Their books and accompanying workshops are fueling a rapid shift in the approach to analyses of ecological data. This newest work will move population ecology fully into the Bayesian paradigm. Every important advance in methodology is, however, a double-edged sword; with the increased analytical power comes an increase in the number and magnitude of potential errors. Integrated population models are no exception. Schaub and Kéry address many of these potential problems but they could have been a bit stronger in emphasizing the importance of such problems. Despite this minor criticism, this is an important volume that will revolutionize the practice of population ecology. Every population ecologist should own a copy."" --The Quarterly Review of Biology"
Author Information
Michael Schaub is the Head of the Ecology Department at the Swiss Ornithological Institute and a courtesy Professor at the University of Bern. His research interests include population dynamics, capture-recapture models, integrated population models, and migratory birds. He has coauthored approximately 130 peer-reviewed journal publications and the book Bayesian Population Analysis using WinBUGS. Dr. Marc works as a senior scientist at the Swiss Ornithological Institute, Seerose 1, 6204 Sempach, Switzerland. This is a non-profit NGO with about 160 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the Swiss Universities of Basel and Zuerich. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, MD. During the last 20 years he has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and statistics. He has published more than 100 peer-reviewed journal articles and five textbooks on applied statistical modeling. He has also been very active in teaching fellow biologists and wildlife managers the concepts and tools of modern statistical analysis in their fields in workshops all over the world, something which goes together with his books, which target the same audiences.
