Bayesian inference in camera trapping studies for a class of spatial capture-recapture models.

By J. Andrew Royle, K. U. Karanth, A. Gopalaswamy, N. S. Kumar. Ecology, 2009

319 citations recorded by the source corpus.

Subfields: Ecology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d0b3bdfcce4b4563638f64502d98ad0a601da31f

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Citations in the corpus

Estimating abundance of mountain lions from unstructured spatial sampling (2012, background): “This includes camera traps (Royle et al. 2009), hair snares or scent lure stations (Gardner et al. 2009, 2010) or networks of mist net stations (Borchers and Efford 2008).”
Evaluating the potential biases in carnivore capture–recapture studies associated with the use of lure and varying density estimation techniques using photographic-sampling data of the Malagasy civet (2011, methodology): “Given the known constraints on measuring MMDM and the uncertainties in the appropriateness of any buffer value to calculate the ETA, it is best to abdicate ad hoc boundary-strip methods given the availability of newer statistical methods that avoid these issues (Efford et al. 2009a; Royle et al. 200”
Comparison of density estimation methods for mammal populations with camera traps in the Kaa‐Iya del Gran Chaco landscape (2012, methodology): “…has no theoretical mechanism to link abundance with the survey area in order to estimate density (Williams, Nichols & Conroy, 2002) and has been questioned due to the ad hoc nature of estimating the survey area (Efford, 2004; Gardner, Royle & Wegan, 2009; Royle et al., 2009a; Singh et al., 2010).”
Impacts of People and Tigers on Leopard Spatiotemporal Activity Patterns in a Global Biodiversity Hotspot (2015, methodology): “The SECR models combine leopard capture histories and the spatial coordinates of the captures to estimate density (Royle et al., 2009a).”
Separating mortality and emigration: modelling space use, dispersal and survival with robust‐design spatial capture–recapture data (2014, background): “state space for the activity centres (Borchers &Efford 2008; Royle et al. 2009; Sollmann et al. 2013) and hence deny migration into uninhabitable areas.”
Density Estimation in a Wolverine Population using Spatial Capture-Recapture Models (2011, methodology): “This specific form of the detection function is justified as the probability of at least one encounter under a Poisson model where the encounter rate declines with distance according to a normal probability kernel with scale parameter s (Royle et al. 2009b).”
Density of tiger and leopard in a tropical deciduous forest of Mudumalai Tiger Reserve, southern India, as estimated using photographic capture–recapture sampling (2011, methodology): “Although SECR models provide more reliable results than conventional MMDM methods, researchers should be aware that the Bayesian methods are extremely sensitive to the buffer width and augmentation size.”
camtrapR: an R package for efficient camera trap data management (2016, methodology): “…utilize camera trap data, including estimation of occupancy probabilities (MacKenzie et al. 2002) or abundance, density and demographic rates with capture – recapture (Karanth 1995; Silver et al. 2004) and spatial capture – recapture models (Eﬀord 2004; Royle et al. 2009; Gardner et al. 2010).”
Spatially explicit models for inference about density in unmarked or partially marked populations (2011, methodology): “So-called spatial capture-recapture (SCR) models (Efford, 2004; Borchers and Efford, 2008; Royle and Young, 2008; Royle et al., 2009; Gardner, Royle and Wegan, 2009; Borchers, 2010) address these problems and produce direct estimates of density or population size for explicit spatial regions.”
A critique of density estimation from camera-trap data† (2012, methodology): “…estimate abundance using conventional C-R models (Table 1); although mark-resight methods have also been used (e.g., Fuller et al. 2001, Watts et al. 2008) and more recently, spatially explicit capture–recapture (SECR) models are becoming popular (e.g., Royle et al. 2009a, Royle and Gardner 2011).”