# Integrated Population Models

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## Integrated Population Models

Author | : Michael Schaub,Marc Kery |

Publsiher | : Academic Press |

Total Pages | : 436 |

Release | : 2021-07-15 |

ISBN 10 | : 9780128205648 |

ISBN 13 | : 0128205644 |

Language | : EN, FR, DE, ES & NL |

**Integrated Population Models Book Review:**

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 | : Anonim |

Publsiher | : Elsevier |

Total Pages | : 633 |

Release | : 2018-09-26 |

ISBN 10 | : 0444640738 |

ISBN 13 | : 9780444640734 |

Language | : EN, FR, DE, ES & NL |

**Integrated Population Biology and Modeling Book Review:**

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 |

Publsiher | : Academic Press |

Total Pages | : 535 |

Release | : 2012 |

ISBN 10 | : 0123870208 |

ISBN 13 | : 9780123870209 |

Language | : EN, FR, DE, ES & NL |

**Bayesian Population Analysis Using WinBUGS Book Review:**

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

## Integrated Population Models and Habitat Metrics for Wildlife Management

Author | : James Nowak |

Publsiher | : Anonim |

Total Pages | : 104 |

Release | : 2015 |

ISBN 10 | : |

ISBN 13 | : OCLC:1132063000 |

Language | : EN, FR, DE, ES & NL |

**Integrated Population Models and Habitat Metrics for Wildlife Management Book Review:**

Successful management of harvested species critically depends on an ability to predict the consequences of corrective actions. Ideally, managers would have comprehensive, quantitative and continuous knowledge of a managed system upon which to base decisions. In reality, wildlife managers rarely have comprehensive system knowledge. Despite imperfect knowledge and data deficiencies, a desire exists to manipulate populations and achieve objectives. To this end, manipulation of harvest regimes and the habitat upon which species rely have become staples of wildlife management. Contemporary statistical tools have potential to enhance both the estimation of population size and vital rates while making possible more proactive management. In chapter 1 we evaluate the efficacy of integrated population models (IPM) to fill knowledge voids under conditions of limited data and model misspecification. We show that IPMs maintain high accuracy and low bias over a wide range of realistic conditions. In recognition of the fact that many monitoring programs have focal data collection areas we then fit a novel form of the IPM that employs random effects to effectively share information through space and time. We find that random effects dramatically improve performance of optimization algorithms, produce reasonable estimates and make it possible to estimate parameters for populations with very limited data. We applied these random effect models to 51 elk management units in Idaho, USA to demonstrate the abilities of the models and information gains. Many of the estimates are the first of their kind. Short-term forecasting is the focus of population models, but managers assess viability on longer time horizons through habitat. Modern approaches to understanding large ungulate habitat requirements largely depend on resource selection. An implicit assumption of the resource selection approach is that disproportionate use of the landscape directly reflects an individual's desire to meet life history goals. However, we show that simple metrics of habitat encountered better describe variations in elk survival. Comparing population level variation through time to individual variation we found that individual variation in habitat used was the most supported model relating habitat to a fitness component. Further, resource selection coefficients did not correlate with survival.

## Population Ecology in Practice

Author | : Brett K. Sandercock |

Publsiher | : John Wiley & Sons |

Total Pages | : 448 |

Release | : 2020-02-10 |

ISBN 10 | : 0470674148 |

ISBN 13 | : 9780470674147 |

Language | : EN, FR, DE, ES & NL |

**Population Ecology in Practice Book Review:**

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.

## 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 |

Publsiher | : Springer |

Total Pages | : 215 |

Release | : 2014-07-16 |

ISBN 10 | : 1493909770 |

ISBN 13 | : 9781493909773 |

Language | : EN, FR, DE, ES & NL |

**Modelling Population Dynamics Book Review:**

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.

## Analysis of Capture-Recapture Data

Author | : Rachel S. McCrea,Byron J. T. Morgan |

Publsiher | : CRC Press |

Total Pages | : 314 |

Release | : 2014-08-01 |

ISBN 10 | : 1439836604 |

ISBN 13 | : 9781439836606 |

Language | : EN, FR, DE, ES & NL |

**Analysis of Capture-Recapture Data Book Review:**

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 | : Anonim |

Publsiher | : Elsevier |

Total Pages | : 653 |

Release | : 2019-02-05 |

ISBN 10 | : 044464153X |

ISBN 13 | : 9780444641533 |

Language | : EN, FR, DE, ES & NL |

**Integrated Population Biology and Modeling Book Review:**

Integrated Population Biology and Modeling: Part B, Volume 40, offers very delicately complex and precise realities of quantifying modern and traditional methods of understanding populations and population dynamics, with this updated release focusing on Prey-predator animal models, Back projections, Evolutionary Biology computations, Population biology of collective behavior and bio patchiness, Collective behavior, Population biology through data science, Mathematical modeling of multi-species mutualism: new insights, remaining challenges and applications to ecology, Population Dynamics of Manipur, Stochastic Processes and Population Dynamics Models: The Mechanisms for Extinction, Persistence and Resonance, Theories of Stationary Populations and association with life lived and life left, and more. Studies human and animal models that are studied both separately and throughout chapters Presents a comprehensive and timely update on integrated population biology

## Bringing Bayesian Models to Life

Author | : Mevin B. Hooten,Trevor J. Hefley |

Publsiher | : CRC Press |

Total Pages | : 574 |

Release | : 2019-05-15 |

ISBN 10 | : 0429516800 |

ISBN 13 | : 9780429516801 |

Language | : EN, FR, DE, ES & NL |

**Bringing Bayesian Models to Life Book Review:**

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.

## Sensitivity Analysis: Matrix Methods in Demography and Ecology

Author | : Hal Caswell |

Publsiher | : Springer |

Total Pages | : 299 |

Release | : 2019-04-02 |

ISBN 10 | : 3030105342 |

ISBN 13 | : 9783030105341 |

Language | : EN, FR, DE, ES & NL |

**Sensitivity Analysis: Matrix Methods in Demography and Ecology Book Review:**

This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes. The calculations are easily and accurately implemented in matrix-oriented programming languages such as Matlab or R. Sensitivity analysis will help readers create models to predict the effect of future changes, to evaluate policy effects, and to identify possible evolutionary responses to the environment. Complete with many examples of the application, the book will be of interest to researchers and graduate students in human demography and population biology. The material will also appeal to those in mathematical biology and applied mathematics.

## Estimating Animal Abundance

Author | : D.L. Borchers,Stephen T. Buckland,Walter Zucchini |

Publsiher | : Springer Science & Business Media |

Total Pages | : 314 |

Release | : 2013-03-09 |

ISBN 10 | : 1447137086 |

ISBN 13 | : 9781447137085 |

Language | : EN, FR, DE, ES & NL |

**Estimating Animal Abundance Book Review:**

The first accessible introduction to the many various wildlife assessment methods! This book uses a new approach that makes the full range of methods accessible in a way that has not previously been possible. Accompanied by free, user-friendly software to get some "hands-on" experience with the methods and how they perform in different contexts.

## Integrated Transport and Land Use Modeling for Sustainable Cities

Author | : Michel Bierlaire,Andre De Palma,Paul Waddell,Ricardo Hurtubia |

Publsiher | : Anonim |

Total Pages | : 280 |

Release | : 2014-10-01 |

ISBN 10 | : 9780415729109 |

ISBN 13 | : 0415729106 |

Language | : EN, FR, DE, ES & NL |

**Integrated Transport and Land Use Modeling for Sustainable Cities Book Review:**

Integrated transport and land use models are an increasingly used tool for evaluation of urban policy and large scale projects. Although there is a well-built theoretical background supporting the existing models, there are few exhaustive descriptions of the methodological implications and implementation efforts behind these tools.This handbook describes the modeling effort, methodological contributions, and results of the SustainCity project. SustainCity, financed by the European Union, implemented integrated microsimulation models for European cities, generating a quantitative tool for policy evaluation, specially focused on sustainability issues. The book describes the implementation of an improved, UrbanSim-based platform for three European cities: Brussels, Paris, and Zurich. The analysis is focused on the methodological contributions that resulted from the modeling effort and the practical aspects of microsimulation models as policy evaluation tools. "

## Discrete Choice Methods with Simulation

Author | : Kenneth Train |

Publsiher | : Cambridge University Press |

Total Pages | : 388 |

Release | : 2009-07-06 |

ISBN 10 | : 0521766559 |

ISBN 13 | : 9780521766555 |

Language | : EN, FR, DE, ES & NL |

**Discrete Choice Methods with Simulation Book Review:**

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.

## Integrated Population Biology and Modeling

Author | : Anonim |

Publsiher | : North Holland |

Total Pages | : 420 |

Release | : 2018-10-15 |

ISBN 10 | : 9780444640727 |

ISBN 13 | : 044464072X |

Language | : EN, FR, DE, ES & NL |

**Integrated Population Biology and Modeling Book Review:**

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

## Using Science to Improve the BLM Wild Horse and Burro Program

Author | : National Research Council,Division on Earth and Life Studies,Board on Agriculture and Natural Resources,Committee to Review the Bureau of Land Management Wild Horse and Burro Management Program |

Publsiher | : National Academies Press |

Total Pages | : 398 |

Release | : 2013-09-04 |

ISBN 10 | : 0309264979 |

ISBN 13 | : 9780309264976 |

Language | : EN, FR, DE, ES & NL |

**Using Science to Improve the BLM Wild Horse and Burro Program Book Review:**

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.

## Model Selection and Multimodel Inference

Author | : Kenneth P. Burnham,David R. Anderson |

Publsiher | : Springer Science & Business Media |

Total Pages | : 488 |

Release | : 2007-05-28 |

ISBN 10 | : 0387224564 |

ISBN 13 | : 9780387224565 |

Language | : EN, FR, DE, ES & NL |

**Model Selection and Multimodel Inference Book Review:**

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

## Population Health Implications of the Affordable Care Act

Author | : Institute of Medicine,Board on Population Health and Public Health Practice,Roundtable on Population Health Improvement |

Publsiher | : National Academies Press |

Total Pages | : 72 |

Release | : 2014-03-20 |

ISBN 10 | : 0309294371 |

ISBN 13 | : 9780309294379 |

Language | : EN, FR, DE, ES & NL |

**Population Health Implications of the Affordable Care Act Book Review:**

Population Health Implications of the Affordable Care Act is the summary of a workshop convened in June 2013 by the Institute of Medicine Roundtable on Population Health Improvement to explore the likely impact on population health improvement of various provisions within the Affordable Care Act (ACA). This public workshop featured presentations and discussion of the impact of various provisions in the ACA on population health improvement. Several provisions of the ACA offer an unprecedented opportunity to shift the focus of health experts, policy makers, and the public beyond health care delivery to the broader array of factors that play a role in shaping health outcomes. The shift includes a growing recognition that the health care delivery system is responsible for only a modest proportion of what makes and keeps Americans healthy and that health care providers and organizations could accept and embrace a richer role in communities, working in partnership with public health agencies, community-based organizations, schools, businesses, and many others to identify and solve the thorny problems that contribute to poor health. Population Health Implications of the Affordable Care Act looks beyond narrow interpretations of population as the group of patients covered by a health plan to consider a more expansive understanding of population, one focused on the distribution of health outcomes across all individuals living within a certain set of geopolitical boundaries. In establishing the National Prevention, Health Promotion, and Public Health Council, creating a fund for prevention and public health, and requiring nonprofit hospitals to transform their concept of community benefit, the ACA has expanded the arena for interventions to improve health beyond the "doctor's" office. Improving the health of the population - whether in a community or in the nation as a whole - requires acting to transform the places where people live, work, study, and play. This report examines the population health-oriented efforts of and interactions among public health agencies (state and local), communities, and health care delivery organizations that are beginning to facilitate such action.

## Testing Structural Equation Models

Author | : Kenneth A. Bollen,J. Scott Long |

Publsiher | : SAGE |

Total Pages | : 320 |

Release | : 1993-02 |

ISBN 10 | : 9780803945074 |

ISBN 13 | : 0803945078 |

Language | : EN, FR, DE, ES & NL |

**Testing Structural Equation Models Book Review:**

What is the role of fit measures when respecifying a model? Should the means of the sampling distributions of a fit index be unrelated to the size of the sample? Is it better to estimate the statistical power of the chi-square test than to turn to fit indices? Exploring these and related questions, well-known scholars examine the methods of testing structural equation models (SEMS) with and without measurement error, as estimated by such programs as EQS, LISREL and CALIS.

## Citrus

Author | : Pierre Laszlo |

Publsiher | : University of Chicago Press |

Total Pages | : 252 |

Release | : 2008-10 |

ISBN 10 | : 0226470288 |

ISBN 13 | : 9780226470283 |

Language | : EN, FR, DE, ES & NL |

**Citrus Book Review:**

Laszlo traces the spectacular rise and spread of citrus across the globe, from southeast Asia in 4000 BC to modern Spain and Portugal, whose explorers inroduced the fruit to the Americas. This book explores the numerous roles that citrus has played in agriculture, horticulture, cooking, nutrition, religion, and art.

## Introduction to WinBUGS for Ecologists

Author | : Marc Kery |

Publsiher | : Academic Press |

Total Pages | : 320 |

Release | : 2010-07-19 |

ISBN 10 | : 9780123786067 |

ISBN 13 | : 0123786061 |

Language | : EN, FR, DE, ES & NL |

**Introduction to WinBUGS for Ecologists Book Review:**

Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance. Introduction to the essential theories of key models used by ecologists Complete juxtaposition of classical analyses in R and Bayesian analysis of the same models in WinBUGS Provides every detail of R and WinBUGS code required to conduct all analyses Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises)