Spatial Capture-Recapture

By J. Andrew Royle, R. Chandler, R. Sollmann, Beth Gardner. 2013

505 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d38066b1bd2c4a533f34b458364221626427372f

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Citations in the corpus

Restoring apex predators can reduce mesopredator abundances (2019, methodology): “We used a combination of camera-trapping, telemetry, and spatially explicit capture-recapture models to estimate carnivore densities (Efford, 2004; Royle et al., 2014).”
Spatially explicit integrated population models (2014, background): “As in conventional capture–recapture models, the capture probability parameters can be modelled as functions of individualspecific covariates, time-specific covariates, behavioural effects or random variables (Royle et al. 2013).”
Wildlife in a Politically Divided World: Insularism Inflates Estimates of Brown Bear Abundance (2016, methodology): “Thus, z is the result of a Markovian process and develops over time according to the multinomial distribution (Gimenez et al. 2007; Royle et al. 2013) 2 Conservation Letters, xxxx 2015, 0(0), 1–9 Copyright and Photocopying: C©2015 The Authors.”
Synthesizing multiple data types for biological conservation using integrated population models (2018, background): “Both capture-recapture and survey (either count or detection-nondetection) data can be modeled conditional on the point process (Chandler and Royle, 2013; Royle et al., 2013), thus avoiding the conventional and restrictive requirement that these two datasets be independent.”
Spatial capture–recapture with partial identity: An application to camera traps (2018, methodology): “π(IDi ) ∼ Uniform(nComplete + 1,M) ∀i > nComplete As previously described, conditional on ID and ID, we can construct a possibly true encounter history yij so our MCMC algorithm will follow the standard algorithm as described by Royle et al. (2013) with the additional step of updating ID and ID and ”
Spatial capture–recapture models allowing Markovian transience or dispersal (2015, unknown): “Spatial capture–recapture models are a relatively new development in ecological statistics (Efford 2004; Borchers and Efford 2008; Royle and Young 2008; Efford et al. 2009; Borchers 2012; Royle et al. 2014).”