ArticlePeerJ2018
Using accelerometers to develop time-energy budgets of wild fur seals from captive surrogates.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 28 citations in OpenAlex.
- Six decades of animal accelerometry: trends, applications, and future directions.Movement ecology · 2026Review
- Aquatic and terrestrial heart rates in fur seals: evidence for delayed metabolic processing.Frontiers in physiology · 2026Article
- Review
- Between the Trees: Quantifying Koala Ground Movement for Conservation Action.Animals : an open access journal from MDPI · 2025Article
- Closing the air gap: the use of drones for studying wildlife ecophysiology.Biological reviews of the Cambridge Philosophical Society · 2025Review
- A benchmark for computational analysis of animal behavior, using animal-borne tags.Movement ecology · 2024Article
- Determining energy expenditure in a large seabird using accelerometry.The Journal of experimental biology · 2023Article
- Cryptic behavior and activity cycles of a small mammal keystone species revealed through accelerometry: a case study of Merriam's kangaroo rats (Dipodomys merriami).Movement ecology · 2023Article
- Estimation of the Maternal Investment of Sea Turtles by Automatic Identification of Nesting Behavior and Number of Eggs Laid from a Tri-Axial Accelerometer.Animals : an open access journal from MDPI · 2022Article
- Training in the Dark: Using Target Training for Non-Invasive Application and Validation of Accelerometer Devices for an Endangered Primate (Animals : an open access journal from MDPI · 2022Article
- Developing a classification system to assign activity states to two species of freshwater turtles.PloS one · 2022Article
- Equine Activity Time Budgets: The Effect of Housing and Management Conditions on Geriatric Horses and Horses with Chronic Orthopaedic Disease.Animals : an open access journal from MDPI · 2021Article
- Using tri-axial accelerometer loggers to identify spawning behaviours of large pelagic fish.Movement ecology · 2021Article
- Validating accelerometry-derived proxies of energy expenditure using the doubly labelled water method in the smallest penguin species.Biology open · 2021Article
- Accelerometer informed time-energy budgets reveal the importance of temperature to the activity of a wild, arid zone canid.Movement ecology · 2021Article
- Activity Time Budgets-A Potential Tool to Monitor Equine Welfare?Animals : an open access journal from MDPI · 2021Review
- Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology.Royal Society open science · 2020Article
- Estimating the energy expenditure of free-ranging polar bears using tri-axial accelerometers: A validation with doubly labeled water.Ecology and evolution · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate time-energy budgets summarise an animal's energy expenditure in a given environment, and are potentially a sensitive indicator of how an animal responds to changing resources. Deriving accurate time-energy budgets requires an estimate of time spent in different activities and of the energetic cost of that activity. Bio-loggers (e.g., accelerometers) may provide a solution for monitoring animals such as fur seals that make long-duration foraging trips. Using low resolution to record behaviour may aid in the transmission of data, negating the need to recover the device.
methodsThis study used controlled captive experiments and previous energetic research to derive time-energy budgets of juvenile Australian fur seals (
resultsBehaviour classification models built with low resolution (1 Hz) data correctly classified captive seal behaviours with very high accuracy (up to 90%) and recorded without interruption. Therefore, time-energy budgets of wild fur seals were constructed with these data. The reconstructed time-energy budgets revealed that juvenile fur seals expended the same amount of energy as adults of similar species. No significant differences in daily energy expenditure (DEE) were found across sex or season (winter or summer), but fur seals rested more when their energy expenditure was expected to be higher. Juvenile fur seals used behavioural compensatory techniques to conserve energy during activities that were expected to have high energetic outputs (such as diving). DISCUSSION: As low resolution accelerometry (1 Hz) was able to classify behaviour with very high accuracy, future studies may be able to transmit more data at a lower rate, reducing the need for tag recovery. Reconstructed time-energy budgets demonstrated that juvenile fur seals appear to expend the same amount of energy as their adult counterparts. Through pairing estimates of energy expenditure with behaviour this study demonstrates the potential to understand how fur seals expend energy, and where and how behavioural compensations are made to retain constant energy expenditure over a short (dive) and long (season) period.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.