Estimating animal density using camera traps without the need for individual recognition

By J. Marcus Rowcliffe, J. Field, S. Turvey, Chris Carbone. 2008

877 citations recorded by the source corpus.

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In Ecological Modeling

In Ecology

Citations in the corpus

Estimating animal density without individual recognition using information derivable exclusively from camera traps (2018, background): “Rowcliffe et al. (2008) also provided field evidence that the REM performed well for density estimation for three out of four ungulate species in semi- wild environments.”
Acoustic monitoring for conservation in tropical forests: examples from forest elephants (2017, methodology): “Camera traps are increasingly used to obtain presence/absence data in tropical environments (e.g. Beaudrot et al. 2016) and to estimate density (e.g. Rowcliffe et al. 2008; Royle et al. 2009; Borchers et al. 2014).”
Scatter hoarding by the Central American agouti: a test of optimal cache spacing theory (2009, neutral): “Because we could not recognize individual agoutis in the photographs, we followed the principles outlined in Rowcliffe et al. (2008); we placed cameras in randomized locations and presumed that the difference in photo rates reflects differences in the densities of animals.”
Towards good practice guidance in using camera‐traps in ecology: influence of sampling design on validity of ecological inferences (2013, methodology): “Several other studies also emphasized on the factors affecting trapping efficiency and sensitivity such as sex, species, season and camera position (Rowcliffe et al. 2008, 2011; Guil et al. 2010; Harmsen, Foster & Doncaster 2011; Foster & Harmsen 2012).”
Monitoring species abundance and distribution at the landscape scale (2011, methodology): “2008), are now used with different types of data including that provided by cameratraps (Rowcliffe et al. 2008) and frommultiple detectionmethods in one study (Nichols et al.”
A simple method for estimating the effective detection distance of camera traps (2017, methodology): “Our approach for estimating EDD can be used in the REM for estimating absolute population density (Rowcliffe et al. 2008, 2011).”
Quantifying the sensitivity of camera traps: an adapted distance sampling approach (2011, methodology): “The motivation for this work is to provide a means of estimating detection zone dimensions for application to REM estimation of abundance (Rowcliffe et al. 2008), which defines the detection zone as a sector with radius r and angle h (Fig.”
Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps (2021, methodology): “These include the random encounter model (REM) (Rowcliffe et al., 2008), the random encounter and staying time model (REST) (Nakashima et al.”
Management by proxy?:the use of indices in applied ecology (2015, background): “Adjusting for activity or travel distances can also facilitate comparisons of abundance indices across species, whether those indices are based on track counts (Keeping 2014) or photographic trapping rates (Rowcliffe et al. 2008; Rovero et al. 2009).”
An invasive‐native mammalian species replacement process captured by camera trap survey random encounter models (2016, methodology): “Furthermore, due to the requirement for random camera placement, rare species may be detected too infrequently for density estimates to be calculated (Rowcliffe et al. 2008).”
Building capacity in biodiversity monitoring at the global scale (2017, methodology): “Important advances have been made in estimating densities and population sizes from camera trap data using Random Encounter Models and Non-Instantaneous Plot Sampling (Rowcliffe et al. 2008, 2011, 2012), and in integrating data derived from different monitoring techniques (Popescu et al. 2014).”
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna (2015, methodology): “(4) Operation Dates: Metadata of when each camera was operational (5) Gold-standard data: Expert classifications for a subset of 4,149 image sets.”
Camera trapping photographic rate as an index of density in forest ungulates (2009, methodology): “An alternative method to calibration was recently proposed by Rowcliffe et al. (2008), using captive animal data to produce a gas model of the likelihood of contact between animals and cameras.”