Integrated Population Models Books

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Integrated Population Models


Integrated Population Models
  • Author : Michael Schaub
  • Publisher : Academic Press
  • Release : 2021-07-01
  • ISBN : 9780128209158
  • Language : En, Es, Fr & De
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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


Integrated Population Biology and Modeling
  • Author : Arni S. R. Srinivasa Rao
  • Publisher :
  • Release : 2018
  • ISBN : OCLC:1090414504
  • Language : En, Es, Fr & De
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Bayesian Population Analysis Using WinBUGS


Bayesian Population Analysis Using WinBUGS
  • Author : Marc Kéry
  • Publisher : Academic Press
  • Release : 2012
  • ISBN : 9780123870209
  • Language : En, Es, Fr & De
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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


Modelling Population Dynamics
  • Author : K. B. Newman
  • Publisher : Springer
  • Release : 2014-07-16
  • ISBN : 9781493909773
  • Language : En, Es, Fr & De
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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


Population Ecology in Practice
  • Author : Brett K. Sandercock
  • Publisher : John Wiley & Sons
  • Release : 2020-02-10
  • ISBN : 9780470674147
  • Language : En, Es, Fr & De
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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.