Spatial Capture Recapture

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  • Author : J. Andrew Royle
  • Publisher : Academic Press
  • Pages : 612 pages
  • ISBN : 012407152X
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Spatial Capture Recapture

Download or Read online Spatial Capture Recapture full in PDF, ePub and kindle. this book written by J. Andrew Royle and published by Academic Press which was released on 27 August 2013 with total page 612 pages. We cannot guarantee that Spatial Capture Recapture book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Spatial Capture Recapture

Spatial Capture Recapture
  • Author : J. Andrew Royle,Richard B. Chandler,Rahel Sollmann,Beth Gardner
  • Publisher : Academic Press
  • Release : 27 August 2013
GET THIS BOOK Spatial Capture Recapture

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

Assessing the Performance of an Open Spatial Capture recapture Method on Grizzly Bear Populations when Age Data is Missing

Assessing the Performance of an Open Spatial Capture recapture Method on Grizzly Bear Populations when Age Data is Missing
  • Author : Neil Faught
  • Publisher : Unknown
  • Release : 24 June 2021
GET THIS BOOK Assessing the Performance of an Open Spatial Capture recapture Method on Grizzly Bear Populations when Age Data is Missing

It is often difficult in capture-recapture (CR) studies of grizzly bear populations to determine the age of detected bears. As a result, analyses often omit age terms in CR models despite past studies suggesting age influences detection probability. This paper explores how failing to account for age in the detection function of an open, spatially-explicit CR model, introduced in Efford & Schofield (2019), affects estimates of apparent survival, apparent recruitment, population growth, and grizzly bear home-range sizes. Using a simulation study, it

On the Estimation of Animal Density from Spatial Capture recapture Data

On the Estimation of Animal Density from Spatial Capture recapture Data
  • Author : Callum Kwun Yuen Young
  • Publisher : Unknown
  • Release : 24 June 2021
GET THIS BOOK On the Estimation of Animal Density from Spatial Capture recapture Data

Spatial capture-recapture (SCR) methods can estimate the density of animal populations. SCR contains elements of both capture-recapture, and distance sampling methods. Data are obtained through repeated detections of individuals by detectors at known locations, allowing the incorporation of the detection function in the SCR model. Naturally, individuals whose home ranges are centred nearer to a detector have a greater probability of being detected. Data obtained from SCR surveys are commonly presented as capture histories, which may contain either counts of

On the Topic of Spatial Capture Recapture Modeling

On the Topic of Spatial Capture Recapture Modeling
  • Author : Paul McLaughlin
  • Publisher : Unknown
  • Release : 24 June 2021
GET THIS BOOK On the Topic of Spatial Capture Recapture Modeling

Over the past two decades there have been many advancements in modeling capture-recapture (CR) data to account for emerging data collection technology and techniques. Spatial capture-recapture (SCR) models have been introduced to estimate population size and numerous other demographic parameters from spatially explicit CR data. Here we offer a comprehensive review of the development of CR modeling up to and including SCR models. We then introduce a new SCR model which allows for attractions between individuals via their daily movements.

River Otter Population Monitoring in Northeastern Pennsylvania Using Non invasive Genetic Sampling and Spatial Capture recapture Models

River Otter Population Monitoring in Northeastern Pennsylvania Using Non invasive Genetic Sampling and Spatial Capture recapture Models
  • Author : Nicholas Forman
  • Publisher : Unknown
  • Release : 24 June 2021
GET THIS BOOK River Otter Population Monitoring in Northeastern Pennsylvania Using Non invasive Genetic Sampling and Spatial Capture recapture Models

River otter (Lontra canadensis) populations in Pennsylvania experienced a range reduction and subsequent expansion of the remnant population, as well as re-colonization of parts of the state through reintroduction efforts and expansion of neighboring populations. There are currently no estimates of population size or densities for river otter populations in Pennsylvania, and large-scale monitoring efforts are hampered by the elusive behavior of river otter. Non-invasive genetic sampling has been used to survey river otter populations, but given the river otter's

Estimating Black Bear Population Density in the Southern Black Bear Range of New York with a Non invasive Genetic Spatial Capture recapture Study

Estimating Black Bear Population Density in the Southern Black Bear Range of New York with a Non invasive  Genetic  Spatial Capture recapture Study
  • Author : Catherine Sun
  • Publisher : Unknown
  • Release : 24 June 2021
GET THIS BOOK Estimating Black Bear Population Density in the Southern Black Bear Range of New York with a Non invasive Genetic Spatial Capture recapture Study

Estimating population density and describing spatial patterns are important in conservation and management of wildlife populations. We conducted a non-invasive, genetic, spatial capture-recapture study of black bears (Ursus americanus) in a region of New York in 2011 and 2012 where its range has expanded in order to 1) estimate population density, 2) test for spatial patterns of range expansion related to landcover, and 3) evaluate patterns of genetic diversity. Estimated population density was 9 bears / 100 km2, low compared to other black bear populations in the U.

Hierarchical Modeling and Inference in Ecology

Hierarchical Modeling and Inference in Ecology
  • Author : J. Andrew Royle,Robert M. Dorazio
  • Publisher : Elsevier
  • Release : 15 October 2008
GET THIS BOOK Hierarchical Modeling and Inference in Ecology

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of

Using Quantitative Approaches to Estimate Space use Population Dynamics Behavior and Climate Change Adaptive Potential for the Red backed Salamander Plethodon Cinereus

Using Quantitative Approaches to Estimate Space use  Population Dynamics  Behavior  and Climate Change Adaptive Potential for the Red backed Salamander Plethodon Cinereus
  • Author : David Munoz
  • Publisher : Unknown
  • Release : 24 June 2021
GET THIS BOOK Using Quantitative Approaches to Estimate Space use Population Dynamics Behavior and Climate Change Adaptive Potential for the Red backed Salamander Plethodon Cinereus

The red-backed salamander, Plethodon cinereus, is a common woodland amphibian that is found throughout much of eastern North America. The species is important to forest ecological processes, and changes in their population density are often used to measure the impacts of forest management, pollution, and environmental change. Therefore, consistent methods of density estimation are required. In the first chapter, I review spatial capture-recapture, a modern modeling tool that incorporates spatial information to reliably estimate population density without the need for

Analysis of Capture Recapture Data

Analysis of Capture Recapture Data
  • Author : Rachel S. McCrea,Byron J. T. Morgan
  • Publisher : CRC Press
  • Release : 01 August 2014
GET THIS BOOK Analysis of Capture Recapture Data

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

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
  • Author : Marc Kery,J. Andrew Royle
  • Publisher : Academic Press
  • Release : 10 October 2020
GET THIS BOOK 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, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a