REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes

By A. C. Burton, E. Neilson, Darío Moreira, A. Ladle, R. Steenweg, Jason T. Fisher, Erin M. Bayne, S. Boutin. 2015

1,189 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bcf87c918fb389bd5cbd16434124c46cee2020fa

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Citations in the corpus

Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys (2017, methodology): “Consequently, this method has been used to evaluate species’ distributions, community richness, temporal activity patterns, occupancy trends and intra- and interspecific interactions (Ahumada et al., 2011; Burton et al., 2015; O’Brien et al., 2010; Steenweg et al., 2017).”
Investigating animal activity patterns and temporal niche partitioning using camera‐trap data: challenges and opportunities (2017, background): “With the growth of camera-trap networks deployed across multiple landscapes (Ahumada et al. 2013; Burton et al. 2015; McShea et al. 2016), hopefully growing into a global biodiversity network (Steenweg et al.”
A review of camera trapping for conservation behaviour research (2017, background): “In a recent review of 266 CT studies, Burton et al. (2015) characterized one-third as addressing behavioural questions (e.g. activity patterns, diet; Table 2).”
camtrapR: an R package for efficient camera trap data management (2016, methodology): “Camera trapping is a powerful and widely used method for the rapid assessment of mammalian biodiversity, particularly in challenging environments (Tobler et al. 2008; Sunarto et al. 2013; Burton et al. 2015).”
Estimating animal density without individual recognition using information derivable exclusively from camera traps (2018, methodology): “Thus, this automated technique can collect quantitative records on elusive, nocturnal and cryptic species with relatively low labour costs (Burton et al., 2015).”
From eDNA to citizen science: emerging tools for the early detection of invasive species (2020, background): “Camera trapping has increased in sophistication and become more affordable (Burton et al. 2015) since its inception, making it a costeffective management tool, especially when combined with image recognition software.”
A review of factors to consider when using camera traps to study animal behavior to inform wildlife ecology and conservation (2020, neutral): “Partitioning false absences (i.e., the failure to detect species, even when present) using occupancy models (MacKenzie et al., 2017) is already a focus for many CT researchers (Burton et al., 2015).”
Distance sampling with camera traps (2017, methodology): “Detection rates at camera traps have been used to index abundance, however, due to spatiotemporal variation in detection rates indices can rarely be converted to estimates of absolute density, nor do they provide reliable evidence of differences or trends in abundance (Sollmann et al. 2013b; Burton ”