Spatial capture–recapture analysis of artificial cover board survey data reveals small scale spatial variation in slow-worm Anguis fragilis density [PDF]
Royal Society Open Science, 2017 Vague and/or ad hoc definitions of the area sampled in monitoring efforts are common, and estimates of ecological state variables (e.g. distribution and abundance) can be sensitive to such specifications. The uncertainty in population metrics due to data
Benedikt R. Schmidt +3 more
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Abundance estimation for line transect sampling: A comparison of distance sampling and spatial capture-recapture models. [PDF]
PLoS ONE, 2021 Accurate and precise abundance estimation is vital for informed wildlife conservation and management decision-making. Line transect surveys are a common sampling approach for abundance estimation.
Nathan J Crum +2 more
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Occupancy data improves parameter precision in spatial capture–recapture models [PDF]
Ecology and Evolution, 2022 Population size is one of the basic demographic parameters for species management and conservation. Among different estimation methods, spatially explicit capture–recapture (SCR) models allow the estimation of population density in a framework that has ...
José Jiménez +4 more
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Spatial capture–recapture with random thinning for unidentified encounters [PDF]
Ecology and Evolution, 2021 Spatial capture–recapture (SCR) models have increasingly been used as a basis for combining capture–recapture data types with variable levels of individual identity information to estimate population density and other demographic parameters.
José Jiménez +4 more
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A review of spatial capture–recapture: Ecological insights, limitations, and prospects [PDF]
Ecology and Evolution, 2022 First described by Efford (2004), spatial capture–recapture (SCR) has become a popular tool in ecology. Like traditional capture–recapture, SCR methods account for imperfect detection when estimating ecological parameters.
Mahdieh Tourani
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Performance of spatial capture-recapture models with repurposed data: Assessing estimator robustness for retrospective applications. [PDF]
PLoS ONE, 2020 Advancements in statistical ecology offer the opportunity to gain further inferences from existing data with minimal financial cost. Spatial capture-recapture (SCR) models extend traditional capture-recapture models to incorporate spatial position of ...
Jennifer B Smith +3 more
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An open spatial capture–recapture model for estimating density, movement, and population dynamics from line‐transect surveys [PDF]
Ecology and Evolution, 2021 The purpose of many wildlife population studies is to estimate density, movement, or demographic parameters. Linking these parameters to covariates, such as habitat features, provides additional ecological insight and can be used to make predictions for ...
Timothy A. Gowan +2 more
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Using Continuous‐Time Spatial Capture–Recapture models to make inference about animal activity patterns [PDF]
Ecology and Evolution, 2020 Quantifying the distribution of daily activity is an important component of behavioral ecology. Historically, it has been difficult to obtain data on activity patterns, especially for elusive species.
Greg B. Distiller +3 more
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Bayesian model selection for spatial capture–recapture models [PDF]
Ecology and Evolution, 2019 A vast amount of ecological knowledge generated over the past two decades has hinged upon the ability of model selection methods to discriminate among various ecological hypotheses.
Soumen Dey +2 more
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Evaluating otter reintroduction outcomes using genetic spatial capture–recapture modified for dendritic networks [PDF]
Ecology and Evolution, 2021 Monitoring the demographics and genetics of reintroduced populations is critical to evaluating reintroduction success, but species ecology and the landscapes that they inhabit often present challenges for accurate assessments.
Sean M. Murphy +3 more
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