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Optimal hunting conditions drive circalunar behavior of a diurnal canivore

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Optimal hunting conditions drive circalunar behavior of a diurnal canivore. / Broekhuis, F.; Grunewalder, S.; McNutt, J.W. et al.
In: Behavioral Ecology, Vol. 25, No. 5, 09.2014, p. 1268-1275.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Broekhuis, F, Grunewalder, S, McNutt, JW & Macdonald, DW 2014, 'Optimal hunting conditions drive circalunar behavior of a diurnal canivore', Behavioral Ecology, vol. 25, no. 5, pp. 1268-1275. https://doi.org/10.1093/beheco/aru122

APA

Broekhuis, F., Grunewalder, S., McNutt, J. W., & Macdonald, D. W. (2014). Optimal hunting conditions drive circalunar behavior of a diurnal canivore. Behavioral Ecology, 25(5), 1268-1275. https://doi.org/10.1093/beheco/aru122

Vancouver

Broekhuis F, Grunewalder S, McNutt JW, Macdonald DW. Optimal hunting conditions drive circalunar behavior of a diurnal canivore. Behavioral Ecology. 2014 Sept;25(5):1268-1275. Epub 2014 Aug 5. doi: 10.1093/beheco/aru122

Author

Broekhuis, F. ; Grunewalder, S. ; McNutt, J.W. et al. / Optimal hunting conditions drive circalunar behavior of a diurnal canivore. In: Behavioral Ecology. 2014 ; Vol. 25, No. 5. pp. 1268-1275.

Bibtex

@article{3ae55cb28e6e4e6fa9026cebb61778d5,
title = "Optimal hunting conditions drive circalunar behavior of a diurnal canivore",
abstract = "Foraging requirements and predation risk shape activity patterns and temporal behavior patterns widely across taxa. Although this has been extensively studied in small mammals, the influence of predation and prey acquisition on the activity and behavior of large carnivores has received little attention. The diurnal activity described as typical for cheetahs ( Acinonyx jubatus ) has been explained in terms of their avoidance of antagonistic interactions with other larger predators. However, a recent study revealed that cheetahs are frequently active at night, especially during periods of full moon. Being both predator and “prey” in an environment with comparatively high densities of larger and competitively dominant nocturnal predator species, we investigated whether cheetah nocturnal behavior could be explained by favorable conditions for 1) predator avoidance or 2) prey acquisition. We used a data set of continuously recorded behavior created using machine-learning techniques on behavioral data collected in the field to transform recorded 2D activity values from radio-collars into 3 distinct behavioral states (feeding, moving, and resting). We found that 32.5% of cheetah feeding behavior occurred at night and that, in the dry season, nocturnal feeding behavior was positively correlated with moonlight intensity. Our results suggest that nocturnal and circalunar behavior of cheetahs is driven by optimal hunting conditions, outweighing the risks of encountering other predators. Using novel methodology, the results provide new insights into the temporal distribution of behavior, contributing to our understanding of the importance of moonlight and season on the behavior patterns of diurnal species.",
author = "F. Broekhuis and S. Grunewalder and J.W. McNutt and Macdonald, {D. W.}",
year = "2014",
month = sep,
doi = "10.1093/beheco/aru122",
language = "English",
volume = "25",
pages = "1268--1275",
journal = "Behavioral Ecology",
issn = "1045-2249",
publisher = "Oxford University Press",
number = "5",

}

RIS

TY - JOUR

T1 - Optimal hunting conditions drive circalunar behavior of a diurnal canivore

AU - Broekhuis, F.

AU - Grunewalder, S.

AU - McNutt, J.W.

AU - Macdonald, D. W.

PY - 2014/9

Y1 - 2014/9

N2 - Foraging requirements and predation risk shape activity patterns and temporal behavior patterns widely across taxa. Although this has been extensively studied in small mammals, the influence of predation and prey acquisition on the activity and behavior of large carnivores has received little attention. The diurnal activity described as typical for cheetahs ( Acinonyx jubatus ) has been explained in terms of their avoidance of antagonistic interactions with other larger predators. However, a recent study revealed that cheetahs are frequently active at night, especially during periods of full moon. Being both predator and “prey” in an environment with comparatively high densities of larger and competitively dominant nocturnal predator species, we investigated whether cheetah nocturnal behavior could be explained by favorable conditions for 1) predator avoidance or 2) prey acquisition. We used a data set of continuously recorded behavior created using machine-learning techniques on behavioral data collected in the field to transform recorded 2D activity values from radio-collars into 3 distinct behavioral states (feeding, moving, and resting). We found that 32.5% of cheetah feeding behavior occurred at night and that, in the dry season, nocturnal feeding behavior was positively correlated with moonlight intensity. Our results suggest that nocturnal and circalunar behavior of cheetahs is driven by optimal hunting conditions, outweighing the risks of encountering other predators. Using novel methodology, the results provide new insights into the temporal distribution of behavior, contributing to our understanding of the importance of moonlight and season on the behavior patterns of diurnal species.

AB - Foraging requirements and predation risk shape activity patterns and temporal behavior patterns widely across taxa. Although this has been extensively studied in small mammals, the influence of predation and prey acquisition on the activity and behavior of large carnivores has received little attention. The diurnal activity described as typical for cheetahs ( Acinonyx jubatus ) has been explained in terms of their avoidance of antagonistic interactions with other larger predators. However, a recent study revealed that cheetahs are frequently active at night, especially during periods of full moon. Being both predator and “prey” in an environment with comparatively high densities of larger and competitively dominant nocturnal predator species, we investigated whether cheetah nocturnal behavior could be explained by favorable conditions for 1) predator avoidance or 2) prey acquisition. We used a data set of continuously recorded behavior created using machine-learning techniques on behavioral data collected in the field to transform recorded 2D activity values from radio-collars into 3 distinct behavioral states (feeding, moving, and resting). We found that 32.5% of cheetah feeding behavior occurred at night and that, in the dry season, nocturnal feeding behavior was positively correlated with moonlight intensity. Our results suggest that nocturnal and circalunar behavior of cheetahs is driven by optimal hunting conditions, outweighing the risks of encountering other predators. Using novel methodology, the results provide new insights into the temporal distribution of behavior, contributing to our understanding of the importance of moonlight and season on the behavior patterns of diurnal species.

U2 - 10.1093/beheco/aru122

DO - 10.1093/beheco/aru122

M3 - Journal article

VL - 25

SP - 1268

EP - 1275

JO - Behavioral Ecology

JF - Behavioral Ecology

SN - 1045-2249

IS - 5

ER -