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Spatial Capture Recapture


Spatial Capture Recapture
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Spatial Capture Recapture


Spatial Capture Recapture
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Author : J. Andrew Royle
language : en
Publisher: Academic Press
Release Date : 2013-08-27

Spatial Capture Recapture written by J. Andrew Royle and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-27 with Science categories.


Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge. Spatial Capture-Recapture provides you with an extensive step-by-step analysis of many data sets using different software implementations. The authors' approach is practical – it embraces Bayesian and classical inference strategies to give the reader different options to get the job done. In addition, Spatial Capture-Recapture provides data sets, sample code and computing scripts in an R package. - Comprehensive reference on revolutionary new methods in ecology makes this the first and only book on the topic - Every methodological element has a detailed worked example with a code template, allowing you to learn by example - Includes an R package that contains all computer code and data sets on companion website



Analysis Of Capture Recapture Data


Analysis Of Capture Recapture Data
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Author : Rachel S. McCrea
language : en
Publisher: CRC Press
Release Date : 2014-08-01

Analysis Of Capture Recapture Data written by Rachel S. McCrea and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Mathematics categories.


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



Handbook Of Capture Recapture Analysis


Handbook Of Capture Recapture Analysis
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Author : Steven C. Amstrup
language : en
Publisher: Princeton University Press
Release Date : 2005-11-20

Handbook Of Capture Recapture Analysis written by Steven C. Amstrup and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-20 with Mathematics categories.


Helps biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. This book introduces the methods for data analysis while explaining the theory behind those methods. It is useful for biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process." - publisher.



Methods For Monitoring Tiger And Prey Populations


Methods For Monitoring Tiger And Prey Populations
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Author : K. Ullas Karanth
language : en
Publisher: Springer
Release Date : 2017-10-26

Methods For Monitoring Tiger And Prey Populations written by K. Ullas Karanth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-26 with Science categories.


This book addresses issues of monitoring populations of tigers, ungulate prey species and habitat occupancy, with relevance to similar assessments of large mammal species and general biodiversity. It covers issues of rigorous sampling, modeling, estimation and adaptive management of animal populations using cutting-edge tools, such as camera-traps, genetic identification and Geographic Information Systems (GIS), applied under the modern statistical approach of Bayesian and likelihood-based inference. Of special focus here are animal survey data derived for use under spatial capture-recapture, occupancy, distance sampling, mixture-modeling and connectivity analysees. Because tigers are an icons of global conservation, in last five decades,enormous amounts of commitment and resources have been invested by tiger range countries and the conservation community for saving wild tigers. However, status of the big cat remains precarious. Rigorous monitoring of surviving wild tiger populations continues to be essential for both understanding and recovering wild tigers. However, many tiger monitoring programs lack the necessary rigor to generate the reliable results. While the deployment of technologies, analyses, computing power and human-resource investments in tiger monitoring have greatly progressed in the last couple of decades, a full comprehension of their correct deployment has not kept pace in practice. In this volume, Dr. Ullas Karanth and Dr. James Nichols, world leaders in tiger biology and quantitative ecology, respectively, address this key challenge. The have collaborated with an extraordinary array of 30 scientists with expertise in a range of necessary disciplines - biology and ecology of tigers, prey and habitats; advanced statistical theory and practice; computation and programming; practical field-sampling methods that employ technologies as varied as camera traps, genetic analyses and geographic information systems. The book is a 'tour de force' of cutting-edge methodologies for assessing not just tigers but also other predators and their prey. The 14 chapters here are lucidly presented in a coherent sequence to provide tiger-specific answers to fundamental questions in animal population assessment: why monitor, what to monitor and how to monitor. While highlighting robust methods, the authors also clearly point out those that are in use, but unreliable. The managerial dimension of tiger conservation described here, the task of matching monitoring objectives with skills and resources to integrate tiger conservation under an adaptive framework, also renders this volume useful to wildlife scientists as well as conservationists.



Spatial Analysis In Field Primatology


Spatial Analysis In Field Primatology
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Author : Francine L. Dolins
language : en
Publisher: Cambridge University Press
Release Date : 2021-02-18

Spatial Analysis In Field Primatology written by Francine L. Dolins and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-18 with Nature categories.


A primatologist's guide to using geographic information systems (GIS); from mapping and field accuracy, to tracking travel routes and the impact of logging.



Applied Hierarchical Modeling In Ecology Analysis Of Distribution Abundance And Species Richness In R And Bugs


Applied Hierarchical Modeling In Ecology Analysis Of Distribution Abundance And Species Richness In R And Bugs
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Author : Marc Kéry
language : en
Publisher: Academic Press
Release Date : 2015-11-14

Applied Hierarchical Modeling In Ecology Analysis Of Distribution Abundance And Species Richness In R And Bugs written by Marc Kéry and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-14 with Science categories.


Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. - Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection - Presents models and methods for identifying unmarked individuals and species - Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses - Includes companion website containing data sets, code, solutions to exercises, and further information



Estimating Animal Abundance


Estimating Animal Abundance
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Author : D.L. Borchers
language : en
Publisher: Springer Science & Business Media
Release Date : 2002

Estimating Animal Abundance written by D.L. Borchers and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.


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.



Bringing Bayesian Models To Life


Bringing Bayesian Models To Life
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Author : Mevin B. Hooten
language : en
Publisher: CRC Press
Release Date : 2019-05-15

Bringing Bayesian Models To Life written by Mevin B. Hooten and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with Mathematics categories.


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.



Handbook Of Environmental And Ecological Statistics


Handbook Of Environmental And Ecological Statistics
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Author : Alan E. Gelfand
language : en
Publisher: CRC Press
Release Date : 2019-01-15

Handbook Of Environmental And Ecological Statistics written by Alan E. Gelfand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-15 with Mathematics categories.


This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.