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Modeling Demographic Processes in Marked Populations

Modeling Demographic Processes in Marked Populations
Author: David L. Thomson
Publisher: Springer Science & Business Media
Total Pages: 1110
Release: 2008-12-11
Genre: Medical
ISBN: 038778151X

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Here, biologists and statisticians come together in an interdisciplinary synthesis with the aim of developing new methods to overcome the most significant challenges and constraints faced by quantitative biologists seeking to model demographic rates.


Modeling Demographic Processes in Marked Populations

Modeling Demographic Processes in Marked Populations
Author: David L. Thomson
Publisher: Springer
Total Pages: 1156
Release: 2016-05-01
Genre: Medical
ISBN: 9781489979100

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Here, biologists and statisticians come together in an interdisciplinary synthesis with the aim of developing new methods to overcome the most significant challenges and constraints faced by quantitative biologists seeking to model demographic rates.


Modeling Demographic Processes in Marked Populations

Modeling Demographic Processes in Marked Populations
Author: David L. Thomson
Publisher: Springer
Total Pages: 1132
Release: 2010-11-16
Genre: Medical
ISBN: 9780387569741

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Here, biologists and statisticians come together in an interdisciplinary synthesis with the aim of developing new methods to overcome the most significant challenges and constraints faced by quantitative biologists seeking to model demographic rates.


Modelling Population Dynamics

Modelling Population Dynamics
Author: K. B. Newman
Publisher: Springer
Total Pages: 223
Release: 2014-07-16
Genre: Medical
ISBN: 1493909770

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This book gives a unifying framework for estimating the abundance of open populations: populations subject to births, deaths and movement, given imperfect measurements or samples of the populations. The focus is primarily on populations of vertebrates for which dynamics are typically modelled within the framework of an annual cycle, and for which stochastic variability in the demographic processes is usually modest. Discrete-time models are developed in which animals can be assigned to discrete states such as age class, gender, maturity, population (within a metapopulation), or species (for multi-species models). The book goes well beyond estimation of abundance, allowing inference on underlying population processes such as birth or recruitment, survival and movement. This requires the formulation and fitting of population dynamics models. The resulting fitted models yield both estimates of abundance and estimates of parameters characterizing the underlying processes.


Demography

Demography
Author: Samuel Preston
Publisher: Wiley-Blackwell
Total Pages: 308
Release: 2000-10-03
Genre: History
ISBN: 9781557864512

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This book presents and develops the basic methods and models that are used by demographers to study the behaviour of human populations. The procedures are clearly and concisely developed from first principles and extensive applications are presented.


Modeling Demographic Processes in Marked Populations

Modeling Demographic Processes in Marked Populations
Author: David L. Thomson
Publisher: Springer
Total Pages: 1132
Release: 2010-11-16
Genre: Medical
ISBN: 9780387569741

Download Modeling Demographic Processes in Marked Populations Book in PDF, ePub and Kindle

Here, biologists and statisticians come together in an interdisciplinary synthesis with the aim of developing new methods to overcome the most significant challenges and constraints faced by quantitative biologists seeking to model demographic rates.


Population Ecology in Practice

Population Ecology in Practice
Author: Dennis L. Murray
Publisher: John Wiley & Sons
Total Pages: 448
Release: 2020-02-10
Genre: Science
ISBN: 0470674148

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A synthesis of contemporary analytical and modeling approaches in population ecology The book provides an overview of the key analytical approaches that are currently used in demographic, genetic, and spatial analyses in population ecology. The chapters present current problems, introduce advances in analytical methods and models, and demonstrate the applications of quantitative methods to ecological data. The book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses of population dynamics; and current approaches for genetic and spatial analysis. Each chapter is illustrated by empirical examples based on real datasets, with a companion website that offers online exercises and examples of computer code in the R statistical software platform. Fills a niche for a book that emphasizes applied aspects of population analysis Covers many of the current methods being used to analyse population dynamics and structure Illustrates the application of specific analytical methods through worked examples based on real datasets Offers readers the opportunity to work through examples or adapt the routines to their own datasets using computer code in the R statistical platform Population Ecology in Practice is an excellent book for upper-level undergraduate and graduate students taking courses in population ecology or ecological statistics, as well as established researchers needing a desktop reference for contemporary methods used to develop robust population assessments.


Data-driven Modelling of Structured Populations

Data-driven Modelling of Structured Populations
Author: Stephen P. Ellner
Publisher: Springer
Total Pages: 329
Release: 2016-05-13
Genre: Mathematics
ISBN: 3319288938

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This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub. Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.


Integrated Population Models

Integrated Population Models
Author: Michael Schaub
Publisher: Academic Press
Total Pages: 640
Release: 2021-11-12
Genre: Science
ISBN: 0128209151

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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. Offers practical and accessible ecological applications of IPMs (integrated population models) Provides full documentation of analyzed code in the Bayesian framework Written and structured for an easy approach to the subject, especially for non-statisticians


Bayesian Analysis for Population Ecology

Bayesian Analysis for Population Ecology
Author: Ruth King
Publisher: CRC Press
Total Pages: 457
Release: 2009-10-30
Genre: Mathematics
ISBN: 1439811881

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Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book's website.