Spatial Capture-recapture

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Furthermore, unlike nonspatial CR methods, SCR models account for heterogeneity in capture probability arising Understanding space usage and resource selection is a primary focus of many studies of animal populations. Usually, such studies are based on location data obtained from telemetry, and resource selection functions RSFs are used for inference. Another important focus of wildlife research is estimation and modeling population size and density Population size and landscape connectivity are key determinants of population viability, yet no methods exist for simultaneously estimating density and connectivity parameters.

Recently developed spatial capture—recapture SCR models provide a framework for estimating density of animal populations but thus far have not been used to study Search Search.


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Patuxent Wildlife Research Center. Science Center Objects Overview Publications Partners The Challenge: For decades, capture-recapture methods have been the cornerstone of ecological statistics as applied to population biology.

J. Andrew Royle,"Spatial Capture-Recapture Modeling"

Below are publications associated with this project. Filter Total Items: 5. Year Published: Estimating population density and connectivity of American mink using spatial capture-recapture Estimating the abundance or density of populations is fundamental to the conservation and management of species, and as landscapes become more fragmented, maintaining landscape connectivity has become one of the most important challenges for biodiversity conservation.

Spatial Capture-Recapture Models to Estimate Abundance and Density of Animal Populations

Fuller, Angela K. Attribution: Cooperative Research Units. View Citation. Fuller, A.

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Sutherland, J. Royle and M. Estimating population density and space usage of American mink using spatial capture-recapture. Year Published: Modelling non-Euclidean movement and landscape connectivity in highly structured ecological networks Movement is influenced by landscape structure, configuration and geometry, but measuring distance as perceived by animals poses technical and logistical challenges.

Sutherland, Christopher; Fuller, Angela K. Sutherland, C. Year Published: Spatially explicit models for inference about density in unmarked or partially marked populations Recently developed spatial capture—recapture SCR models represent a major advance over traditional capture—recapture CR models because they yield explicit estimates of animal density instead of population size within an unknown area. Chandler, Richard B. Spatially explicit models for inference about density in unmarked or partially marked populations; ; Article; Journal; Annals of Applied Statistics; Chandler, Richard B.

Year Published: Integrating resource selection information with spatial capture--recapture 1. Royle, J.

Andrew; Chandler, Richard B. Integrating resource selection information with spatial capture--recapture; ; Article; Journal; Methods in Ecology and Evolution; Royle, J.

Spatial capture-recapture design and modelling for the study of small mammals

Efford, M. Population density estimated from locations of individuals on a passive detector array. Ecology , 90 : Stevenson, B. A general framework for animal density estimation from acoustic detections across a fixed microphone array.


  • GitHub - b-steve/ascr: Acoustic spatial capture-recapture in AD Model Builder!
  • Spatial capture-recapture (SCR) modelling | Centre for Statistics in Ecology, the Environment?
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Methods in Ecology and Evolution , 6 : Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. Acoustic spatial capture-recapture in AD Model Builder.

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