ArticleMethods in ecology and evolution2022
Ecological inference using data from accelerometers needs careful protocols.
Article in Methods in ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Practical guidelines for validation of supervised machine learning models in accelerometer-based animal behaviour classification.The Journal of animal ecology · 2025Pooled it
- Oilbirds performing non-seasonal intra-tropical migrations reduce flight effort compared to individuals that frequently return to the colony roost.Movement ecology · 2026Article
- A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis.Integrative zoology · 2026Article
- Multi-Sensor Assessment of Pigeon Flight Behavior: Role of Biomechanical and Landscape Characteristics.Sensors (Basel, Switzerland) · 2026Article
- A call for using rangeland-based livestock operations as model systems for studying the movement ecology of terrestrial animals.Movement ecology · 2025Article
- Thermal performance curves, activity and survival in a free-ranging ectotherm.The Journal of animal ecology · 2025Article
- Why catch when you can throw? A framework for tagging animals without capture or restraint.Royal Society open science · 2025Article
- Use of videos to measure dynamic body acceleration as a proxy for metabolic costs in coral reef damselfish (Chromis viridis).The Journal of experimental biology · 2025Article
- Using accelerometers for tracking loggerhead and green sea turtle behaviour.Animal biotelemetry · 2025Article
- A benchmark for computational analysis of animal behavior, using animal-borne tags.Movement ecology · 2024Article
- Time-energy budgets outperform dynamic body acceleration in predicting daily energy expenditure in kittiwakes, and estimate a very low cost of gliding flight relative to flapping flight.The Journal of experimental biology · 2024Article
- The statistical building blocks of animal movement simulations.Movement ecology · 2024Article
- Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals.Sensors (Basel, Switzerland) · 2024Article
- Turbulence causes kinematic and behavioural adjustments in a flapping flier.Journal of the Royal Society, Interface · 2024Article
- Repeatability of swimming activity of the Patagonian grouperConservation physiology · 2024Article
- A novel approach to seabird posture estimation: finding roll and yaw angles of dynamic soaring albatrosses using tri-axial magnetometers.Royal Society open science · 2023Article
- The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets.Scientific reports · 2022Article
- The role of wingbeat frequency and amplitude in flight power.Journal of the Royal Society, Interface · 2022Review
- Ecological inference using data from accelerometers needs careful protocols.Methods in ecology and evolution · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accelerometers in animal-attached tags are powerful tools in behavioural ecology, they can be used to determine behaviour and provide proxies for movement-based energy expenditure. Researchers are collecting and archiving data across systems, seasons and device types. However, using data repositories to draw ecological inference requires a good understanding of the error introduced according to sensor type and position on the study animal and protocols for error assessment and minimisation.Using laboratory trials, we examine the absolute accuracy of tri-axial accelerometers and determine how inaccuracies impact measurements of dynamic body acceleration (DBA), a proxy for energy expenditure, in human participants. We then examine how tag type and placement affect the acceleration signal in birds, using pigeons
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