2012
DOI: 10.1111/j.1744-7429.2011.00846.x
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Studying Large Mammals With Imperfect Detection: Status and Habitat Preferences of Wild Cattle and Large Carnivores in Eastern Cambodia

Abstract: Studying large mammal species in tropical forests is a conservation challenge with species' behavior and ecology often increasing the probability of non-detection during surveys. Consequently, knowledge of the distribution, status, and natural history of many large mammal species in Southeast Asia is limited. I developed occupancy models from camera-trapping data, thereby accounting for imperfect detection at sampling sites, to clarify the status and habitat requirements of four globally threatened or near thr… Show more

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Cited by 23 publications
(19 citation statements)
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“…Camera-traps are widely used in South East Asia for conservation and research particularly for inventorying ground-dwelling large mammal diversity within conservation landscapes (Phan, Prum & Gray, 2010;Moo, Froese & Gray, 2017) and estimating species density and abundance for conservation impact monitoring (Rayan & Mohamad, 2009;Gray, 2012;Gray & Prum, 2012). However, robustly estimating species abundance from camera-trap data is extremely difficult unless animals have unique individual markings such as tiger Panthera tigris or leopard P. pardus (Karanth & Nichols, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…Camera-traps are widely used in South East Asia for conservation and research particularly for inventorying ground-dwelling large mammal diversity within conservation landscapes (Phan, Prum & Gray, 2010;Moo, Froese & Gray, 2017) and estimating species density and abundance for conservation impact monitoring (Rayan & Mohamad, 2009;Gray, 2012;Gray & Prum, 2012). However, robustly estimating species abundance from camera-trap data is extremely difficult unless animals have unique individual markings such as tiger Panthera tigris or leopard P. pardus (Karanth & Nichols, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…We assembled a detection history matrix for each of the 18 large mammal species recorded, and following previous studies, defined a sampling occasion as seven camera trap‐days (Gray , Ahumada et al . ).…”
Section: Methodsmentioning
confidence: 99%
“…DATA ANALYSIS.-We assembled a detection history matrix for each of the 18 large mammal species recorded, and following previous studies, defined a sampling occasion as seven camera trap-days (Gray 2012, Ahumada et al 2013. We analyzed data using the single-season occupancy framework, an approach where occupancy and detection parameters are estimated simultaneously using replicated detection/non-detection surveys (MacKenzie et al 2002, MacKenzie et al 2006.…”
Section: Methodsmentioning
confidence: 99%
“…False absences are cor- rected by conducting replicated surveys within a cameratrap location thereby allowing estimation of the probability of detecting at least one individual of a species during a survey given its presence (Mackenzie et al 2006). In the occupancy modelling, these are essentially two nested binomial logistic regressions whereby the first models the true presence and absence of a species (site occupancy, w) and the second models detection and nondetection conditional (detection probability, P)o na species being present (Gray 2012). Habitat covariates can be built into reduce variance in the estimated detection probability and occupancy (Mackenzie et al 2006).…”
Section: Habitat Preferencesmentioning
confidence: 99%