Accelerometer-based analyses of animal sleep patterns

Watanabe, Yuuki; Rutz, Christian

doi:10.7554/elife.77349

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…To conclude, our study further demonstrates that high-resolution biologgers can be used to investigate sleep in wild animals [49] over ecologically relevant time scales. This approach reveals meaningful and unpredicted inter-and intra-individual differences in daily sleep quantity and efficiency that likely have important implications for health, cognitive abilities, and response to natural and anthropogenic stressors in wildlife.…”

Section: Discussionsupporting

confidence: 60%

“…When the device is at rest, such as when an animal is asleep, the total force exerted on all three axes sums to approximately 1 g (the effect of gravity), thus allowing the inference of posture based on the known, calibrated orientation of the device. While accelerometers and other biologging sensors are growing more popular generally [ 35 ], and can be used to study sleep in the wild [ 49 ], a naive application of metrics derived from biologgers risks conflating wakeful rest and sleep. Thus, we built a robust classification of sleep with DD based on laboratory studies in domestic pigs that provide a detailed description of sleep postures and sleep estimates quantified with electroencephalogram.…”

Section: Methodsmentioning

confidence: 99%

“…We reduced the maximal model by eliminating the least meaningful fixed effect, starting from quadratic terms if not meaningful, and re-ran the model, repeating the procedure until only meaningful predictors remained in a minimal statistically justifiable model (reduced model [ 50 ]). Fixed effects predictors and the correlation between mean and variance of the ID random effects were considered meaningful if the percentage of the posterior distribution crossing zero in the opposite direction of effect was less than 5 (percentage across-zero: P x [ 49 ]). In the DHGLM, random effects estimates are constrained to be greater than zero as they are calculated on a log scale, making P x unsuitable for assessment of effects.…”

Section: Methodsmentioning

confidence: 99%

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Sleep in the wild: the importance of individual effects and environmental conditions on sleep behaviour in wild boar

Mortlock,

Silovský,

Güldenpfennig

et al. 2024

Proc. R. Soc. B.

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Sleep serves vital physiological functions, yet how sleep in wild animals is influenced by environmental conditions is poorly understood. Here we use high-resolution biologgers to investigate sleep in wild animals over ecologically relevant time scales and quantify variability between individuals under changing conditions. We developed a robust classification for accelerometer data and measured multiple dimensions of sleep in the wild boar ( Sus scrofa ) over an annual cycle. In support of the hypothesis that environmental conditions determine thermoregulatory challenges, which regulate sleep, we show that sleep quantity, efficiency and quality are reduced on warmer days, sleep is less fragmented in longer and more humid days, while greater snow cover and rainfall promote sleep quality. Importantly, this longest and most detailed analysis of sleep in wild animals to date reveals large inter- and intra-individual variation. Specifically, short-sleepers sleep up to 46% less than long-sleepers but do not compensate for their short sleep through greater plasticity or quality, suggesting they may pay higher costs of sleep deprivation. Given the major role of sleep in health, our results suggest that global warming and the associated increase in extreme climatic events are likely to negatively impact sleep, and consequently health, in wildlife, particularly in nocturnal animals.

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Section: Discussionsupporting

confidence: 60%

Section: Methodsmentioning

confidence: 99%