integrated population models

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Integrated Population Models
Author : Michael Schaub,Marc Kery
Publisher : Academic Press
Release Date : 2021-07-15
ISBN 10 : 9780128205648
Pages : 436 pages
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Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first resource 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. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. 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

Integrated Population Biology and Modeling
Author : N.A
Publisher : North Holland
Release Date : 2018-10-15
ISBN 10 : 9780444640727
Pages : 420 pages
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Integrated Population Biology and Modeling: Part A offers very complex and precise realities of quantifying modern and traditional methods of understanding populations and population dynamics. Chapters cover emerging topics of note, including Longevity dynamics, Modeling human-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx): Some Innovative Methodological Investigations, Cell migration Models, Evolutionary Dynamics of Cancer Cells, an Integrated approach for modeling of coastal lagoons: A case for Chilka Lake, India, Population and metapopulation dynamics, Mortality analysis: measures and models, Stationary Population Models, Are there biological and social limits to human longevity?, Probability models in biology, Stochastic Models in Population Biology, and more. Covers emerging topics of note in the subject matter Presents chapters on Longevity dynamics, Modeling human-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx), and more

Bayesian Population Analysis Using WinBUGS
Author : Marc Kéry,Michael Schaub
Publisher : Academic Press
Release Date : 2012
ISBN 10 : 0123870208
Pages : 535 pages
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Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R

Modelling Population Dynamics
Author : K. B. Newman,S. T. Buckland,B. J. T. Morgan,R. King,D. L. Borchers,D. J. Cole,P. Besbeas,O. Gimenez,L. Thomas
Publisher : Springer
Release Date : 2014-07-16
ISBN 10 : 1493909770
Pages : 215 pages
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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.

Population Ecology in Practice
Author : Brett K. Sandercock
Publisher : John Wiley & Sons
Release Date : 2020-02-10
ISBN 10 : 0470674148
Pages : 448 pages
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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
Author : Stephen P. Ellner,Dylan Z. Childs,Mark Rees
Publisher : Springer
Release Date : 2016-05-13
ISBN 10 : 3319288938
Pages : 329 pages
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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.

Analysis of Capture-Recapture Data
Author : Rachel S. McCrea,Byron J. T. Morgan
Publisher : CRC Press
Release Date : 2014-08-01
ISBN 10 : 1439836604
Pages : 314 pages
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An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the mortality and size of the populations. Capture-rec

Integrated Population Biology and Modeling
Author : N.A
Publisher : Elsevier
Release Date : 2018-09-26
ISBN 10 : 0444640738
Pages : 633 pages
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Integrated Population Biology and Modeling: Part A offers very complex and precise realities of quantifying modern and traditional methods of understanding populations and population dynamics. Chapters cover emerging topics of note, including Longevity dynamics, Modeling human-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx): Some Innovative Methodological Investigations, Cell migration Models, Evolutionary Dynamics of Cancer Cells, an Integrated approach for modeling of coastal lagoons: A case for Chilka Lake, India, Population and metapopulation dynamics, Mortality analysis: measures and models, Stationary Population Models, Are there biological and social limits to human longevity?, Probability models in biology, Stochastic Models in Population Biology, and more. Covers emerging topics of note in the subject matter Presents chapters on Longevity dynamics, Modeling human-environment interactions, Survival Probabilities from 5-Year Cumulative Life Table Survival Ratios (Tx+5/Tx), and more

Parameter Redundancy and Identifiability
Author : Diana Cole
Publisher : CRC Press
Release Date : 2020-05-10
ISBN 10 : 1498720900
Pages : 252 pages
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Statistical and mathematical models are defined by parameters that describe different characteristics of those models. Ideally it would be possible to find parameter estimates for every parameter in that model, but, in some cases, this is not possible. For example, two parameters that only ever appear in the model as a product could not be estimated individually; only the product can be estimated. Such a model is said to be parameter redundant, or the parameters are described as non-identifiable. This book explains why parameter redundancy and non-identifiability is a problem and the different methods that can be used for detection, including in a Bayesian context. Key features of this book: Detailed discussion of the problems caused by parameter redundancy and non-identifiability Explanation of the different general methods for detecting parameter redundancy and non-identifiability, including symbolic algebra and numerical methods Chapter on Bayesian identifiability Throughout illustrative examples are used to clearly demonstrate each problem and method. Maple and R code are available for these examples More in-depth focus on the areas of discrete and continuous state-space models and ecological statistics, including methods that have been specifically developed for each of these areas This book is designed to make parameter redundancy and non-identifiability accessible and understandable to a wide audience from masters and PhD students to researchers, from mathematicians and statisticians to practitioners using mathematical or statistical models.

Bringing Bayesian Models to Life
Author : Mevin B. Hooten,Trevor J. Hefley
Publisher : CRC Press
Release Date : 2019-05-15
ISBN 10 : 0429513372
Pages : 574 pages
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Bringing Bayesian Models to Life empowers the reader to extend, enhance, and implement statistical models for ecological and environmental data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms allow the user to fit models that answer their scientific questions without needing to rely on automated Bayesian software. We show how to handcraft statistical models that are useful in ecological and environmental science including: linear and generalized linear models, spatial and time series models, occupancy and capture-recapture models, animal movement models, spatio-temporal models, and integrated population-models. Features: R code implementing algorithms to fit Bayesian models using real and simulated data examples. A comprehensive review of statistical models commonly used in ecological and environmental science. Overview of Bayesian computational methods such as importance sampling, MCMC, and HMC. Derivations of the necessary components to construct statistical algorithms from scratch. Bringing Bayesian Models to Life contains a comprehensive treatment of models and associated algorithms for fitting the models to data. We provide detailed and annotated R code in each chapter and apply it to fit each model we present to either real or simulated data for instructional purposes. Our code shows how to create every result and figure in the book so that readers can use and modify it for their own analyses. We provide all code and data in an organized set of directories available at the authors' websites.

Pangolins
Author : N.A
Publisher : Academic Press
Release Date : 2019-11-23
ISBN 10 : 012815506X
Pages : 658 pages
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Pangolins: Science, Society and Conservation brings together experts from around the world to document the most up-to-date scientific knowledge on pangolins and their conservation. It chronicles threats facing the species, explores the current initiatives required to protect them, and looks ahead at the future of pangolin science and conservation efforts. Led by a team of editors with more than 20 years collective experience in pangolin conservation, this book includes accounts of the species’ evolution, morphology, and systematics. It discusses the role of pangolins in historically symbolic, mythological, and ritualistic practices across Africa, Asia, and Europe, as well as contemporary practices including international trafficking. Chapters in the latter portion of this book focus on conservation solutions, including law enforcement and international policy, behavior change, local community engagement, ex situ conservation, tourism, and other interventions needed to secure the future of the species. Pangolins: Science, Society and Conservation is the latest volume in Elsevier’s species-specific series, Biodiversity of the World: Conservation from Genes to Landscapes. This book is a valuable resource for researchers and students in species conservation science, planning, and policymaking. Provides detailed accounts of the natural history and conservation status of each pangolin species Explores the cultural significance of pangolins, historic and contemporary use, and international trade and trafficking Discusses conservation solutions ranging from law enforcement and local community engagement to ex situ conservation, innovative finance, and tourism

Using Science to Improve the BLM Wild Horse and Burro Program
Author : Committee to Review the Bureau of Land Management Wild Horse and Burro Management Program,Board on Agriculture and Natural Resources,Division on Earth and Life Studies,National Research Council
Publisher : National Academies Press
Release Date : 2013-09-18
ISBN 10 : 0309264952
Pages : 373 pages
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Using Science to Improve the BLM Wild Horse and Burro Program: A Way Forward reviews the science that underpins the Bureau of Land Management's oversight of free-ranging horses and burros on federal public lands in the western United States, concluding that constructive changes could be implemented. The Wild Horse and Burro Program has not used scientifically rigorous methods to estimate the population sizes of horses and burros, to model the effects of management actions on the animals, or to assess the availability and use of forage on rangelands. Evidence suggests that horse populations are growing by 15 to 20 percent each year, a level that is unsustainable for maintaining healthy horse populations as well as healthy ecosystems. Promising fertility-control methods are available to help limit this population growth, however. In addition, science-based methods exist for improving population estimates, predicting the effects of management practices in order to maintain genetically diverse, healthy populations, and estimating the productivity of rangelands. Greater transparency in how science-based methods are used to inform management decisions may help increase public confidence in the Wild Horse and Burro Program.