2019
DOI: 10.1002/ajp.22962
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Validating camera trap distance sampling for chimpanzees

Abstract: The extension of distance sampling methods to accommodate observations from camera traps has recently enhanced the potential to remotely monitor multiple species without the need of additional data collection (sign production and decay rates) or individual identification. However, the method requires that the proportion of time is quantifiable when animals can be detected by the cameras. This can be problematic, for instance, when animals spend time above the ground, which is the case for most primates. In thi… Show more

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Cited by 46 publications
(105 citation statements)
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“…Except for the endemic Congo peafowl, all chosen species were mammals. Table 2 shows species-specific information obtained from CTs, including activity times, availability according to Cappelle et al (2019) and Rowcliffe et al (2014;examples provided in Figure 2), as well as truncation distance. Detectability positively correlated with body size, with small-sized species being undetected within the first 2 m from the camera (Figure 3).…”
Section: Re Sultsmentioning
confidence: 99%
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“…Except for the endemic Congo peafowl, all chosen species were mammals. Table 2 shows species-specific information obtained from CTs, including activity times, availability according to Cappelle et al (2019) and Rowcliffe et al (2014;examples provided in Figure 2), as well as truncation distance. Detectability positively correlated with body size, with small-sized species being undetected within the first 2 m from the camera (Figure 3).…”
Section: Re Sultsmentioning
confidence: 99%
“…Although differences in the specific availability calculated according to Cappelle et al (2019), and Rowcliffe et al (2014) were minor with large sample sizes, ARo presented major advantages: (a) calculations provided standard errors of estimated availabilities (that F I G U R E 5 Relative species-specific concordance of density estimates corrected with ARo (Rowcliffe et al, 2014) and ACa (Cappelle et al, 2019) could be included in the estimation of total variance of density) and (b) values appeared to be less influenced by the peak of observation and stochasticity ( Figure 2; Table 3). Both methods rely on the assumption that at peak time, 100% of the population is available for detection (Rowcliffe et al, 2014), with asynchronous activity patterns of individuals within species leading to an overestimation of activity time, hence underestimated densities.…”
Section: Activity Patternsmentioning
confidence: 99%
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“…Seasonality influences activity patterns, ranging and feeding behaviour of chimpanzees (Doran, ), and may consequently influence chimpanzee detectability with CT and PAM. CT studies on chimpanzees have been conducted to study uncommon behaviour, for example stone throwing (Kühl et al, ) and crab hunting (Koops et al, ), but also for abundance and density estimation (Cappelle, Després‐Einspenner, Howe, Boesch, & Kühl, ; Després‐Einspenner, Howe, Drapeau, & Kühl, ) among others. Only a few studies have employed PAM with chimpanzees; those have focused on group ranging and territory use (Kalan et al, , ) and temporal patterns of vocalizations (Piel, ).…”
Section: Introductionmentioning
confidence: 99%