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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An integrated path for spatial capture-recapture and animal movement modeling. [PDF]
Ecology, 2022 Ecologists and conservation biologists increasingly rely on spatial capture–recapture (SCR) and movement modeling to study animal populations. Historically, SCR has focused on population‐level processes (e.g., vital rates, abundance, density, and ...
McClintock BT +8 more
europepmc +2 more sources
Precision and bias of spatial capture-recapture estimates: A multi-site, multi-year Utah black bear case study. [PDF]
Ecol Appl, 2022 Spatial capture–recapture (SCR) models are powerful analytical tools that have become the standard for estimating abundance and density of wild animal populations.
Schmidt GM +3 more
europepmc +2 more sources
Integrated animal movement and spatial capture-recapture models: Simulation, implementation, and inference. [PDF]
Ecology, 2022 Over the last decade, spatial capture–recapture (SCR) models have become widespread for estimating demographic parameters in ecological studies. However, the underlying assumptions about animal movement and space use are often not realistic.
Gardner B +3 more
europepmc +2 more sources
Estimating spatially variable and density-dependent survival using open-population spatial capture-recapture models. [PDF]
Ecology, 2023 Open‐population spatial capture–recapture (OPSCR) models use the spatial information contained in individual detections collected over multiple consecutive occasions to estimate not only occasion‐specific density, but also demographic parameters.
Milleret C +6 more
europepmc +2 more sources
Does the punishment fit the crime? Consequences and diagnosis of misspecified detection functions in Bayesian spatial capture-recapture modeling. [PDF]
Ecol Evol, 2022 Spatial capture–recapture (SCR) analysis is now used routinely to inform wildlife management and conservation decisions. It is therefore imperative that we understand the implications of and can diagnose common SCR model misspecifications, as flawed ...
Dey S +3 more
europepmc +2 more sources
Evaluating density-weighted connectivity of black bears (Ursus americanus) in Glacier National Park with spatial capture-recapture models. [PDF]
Mov EcolBackground Improved understanding of wildlife population connectivity among protected area networks can support effective planning for the persistence of wildlife populations in the face of land use and climate change.
Carroll SL +3 more
europepmc +2 more sources
Estimating red fox density using non-invasive genetic sampling and spatial capture-recapture modelling. [PDF]
Oecologia, 2022 Spatial capture–recapture modelling (SCR) is a powerful tool for estimating density, population size, and space use of elusive animals. Here, we applied SCR modelling to non-invasive genetic sampling (NGS) data to estimate red fox ( Vulpes vulpes ...
Lindsø LK +7 more
europepmc +2 more sources
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
doaj +1 more source
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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