Forecasting wildlife movement with spatial capture–recapture
Methods in Ecology and Evolution, 2023 Wildlife movement is an important process affecting species population biology and community interactions in myriad ways. Studies of wildlife movement have focused on retrospectively estimating movements of small numbers of individuals by outfitting them
Nathan J. Crum +2 more
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Integrating Multiple Data Sources Improves Abundance Estimation in Spatial Capture–Recapture Models [PDF]
Ecology and EvolutionReliable estimates of abundance are fundamental to conservation assessments and measuring the success of conservation actions, especially where populations are in decline or recovery.
Georgina Whittome +7 more
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Spatial capture-recapture design and modelling for the study of small mammals. [PDF]
PLoS ONE, 2018 Spatial capture-recapture modelling (SCR) is a powerful analytical tool to estimate density and derive information on space use and behaviour of elusive animals. Yet, SCR has been seldom applied to the study of ecologically keystone small mammals.
Juan Romairone +3 more
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A Comparison of Grizzly Bear Demographic Parameters Estimated from Non-Spatial and Spatial Open Population Capture-Recapture Models. [PDF]
PLoS ONE, 2015 Capture-recapture studies are frequently used to monitor the status and trends of wildlife populations. Detection histories from individual animals are used to estimate probability of detection and abundance or density.
Jesse Whittington, Michael A Sawaya
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Ecosphere, 2023 Estimating population density is critical for effective species conservation, wildlife management planning, and long‐term monitoring. Obtaining accurate estimates is especially important for the wolf (Canis lupus), a widely distributed northern ...
José Jiménez +3 more
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Simulation-based validation of spatial capture-recapture models: A case study using mountain lions. [PDF]
PLoS ONE, 2019 Spatial capture-recapture (SCR) models have improved the ability to estimate densities of rare and elusive animals. However, SCR models have seldom been validated even as model formulations diversify and expand to incorporate new sampling methods and/or ...
J Terrill Paterson +4 more
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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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Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data. [PDF]
PLoS ONE, 2013 In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling.
Robert M Dorazio
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Population density of sitatunga in riverine wetland habitats
Global Ecology and Conservation, 2020 Estimates of population density of mammals are critical data for effective management. Estimating density is complicated if the species of interest has cryptic markings and occupies dense habitat.
Camille H. Warbington, Mark S. Boyce
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Integrating dead recoveries in open‐population spatial capture–recapture models
Ecosphere, 2021 Integrating dead recoveries into capture–recapture models can improve inference on demographic parameters. But dead‐recovery data do not only inform on individual fates; they also contain information about individual locations.
P. Dupont +4 more
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