Optimizing the use of biologgers for movement ecology research
Open accessAbstract
The paradigm‐changing opportunities of biologging sensors for ecological research, especially movement ecology, are vast, but the crucial questions of how best to match the most appropriate sensors and sensor combinations to specific biological questions and how to analyse complex biologging data, are mostly ignored. Here, we fill this gap by reviewing how to optimize the use of biologging techniques to answer questions in movement ecology and synthesize this into an Integrated Biologging Framework (IBF). We highlight that multisensor approaches are a new frontier in biologging, while identifying current limitations and avenues for future development in sensor technology. We focus on the importance of efficient data exploration, and more advanced multidimensional visualization methods, combined with appropriate archiving and sharing approaches, to tackle the big data issues presented by biologging. We also discuss the challenges and opportunities in matching the peculiarities of specific sensor data to the statistical models used, highlighting at the same time the large advances which will be required in the latter to properly analyse biologging data. Taking advantage of the biologging revolution will require a large improvement in the theoretical and mathematical foundations of movement ecology, to include the rich set of high‐frequency multivariate data, which greatly expand the fundamentally limited and coarse data that could be collected using location‐only technology such as GPS. Equally important will be the establishment of multidisciplinary collaborations to catalyse the opportunities offered by current and future biologging technology. If this is achieved, clear potential exists for developing a vastly improved mechanistic understanding of animal movements and their roles in ecological processes and for building realistic predictive models.
AI snapshot
Written from the paper’s full text.
TL;DR
This review synthesizes how to optimize bio-logging for movement ecology into an Integrated Bio-logging Framework linking questions, sensors, data, and analysis. It argues that multi-sensor approaches, efficient data exploration and archiving, improved statistical/mathematical models, and multidisciplinary collaboration are needed to exploit high-frequency multivariate bio-logging data.
Key findings
- Multi-sensor approaches are described as a new frontier. Dead-reckoning with inertial measurement units plus pressure/elevation sensors can reconstruct 2D/3D movement irrespective of transmission conditions, but errors accumulate over time and require frequent GPS ground-truthing.
- Sampling design should follow the Nyquist/sampling theorem: sampling frequency should be at least twice the fastest frequency of interest. High-frequency raw data (>20 Hz) may be needed for posture and dynamic body acceleration; example settings are 40 Hz for accelerometers, 20 Hz for magnetometers, and 4 Hz for temperature or pressure, which can more than double recording time on a given battery.
- Sensor resolution and range matter: an 8-bit depth pressure transducer with a 50 Bar maximum range resolves about 0.2 Bar, equal to 2 m, whereas 16-bit resolution resolves 0.008 m; accelerometers should be set to at least 16 g for initial terrestrial studies unless preliminary data show otherwise.
- Data archiving and sharing lack standardized protocols and detailed metadata on attachment type and position. The paper also notes that the current “rule of thumb” of 3–5% body weight for tags is naïve, and that camera loggers are about 10 g, VHF tags of 0.5 g may track for up to a month, GPS at 1 Hz may require 30–50 mA, while a modern IMU at 40 Hz requires only 5–10 mA.
Methods
- This is a review and conceptual synthesis, not a primary empirical study. It reviews bio-logging technologies and analytical methods and synthesizes them into an Integrated Bio-logging Framework with four critical areas: questions, sensors, data, and analysis, linked by multidisciplinary collaboration and feedback loops.
- The paper uses illustrative pathways and examples, including question-driven versus data-driven study design, and refers to figures, tables, and supplementary information; no sample size, field dataset, or quantitative meta-analysis is reported.
- The main analysis is narrative and conceptual, covering sensor selection, experimental design, tag design, data management, archiving and sharing, visualisation, behavioural classification, movement analyses, and future developments.
Limitations
- The paper states field-level limitations: lack of standardized protocols for animal-borne sensor data, need for detailed metadata on logger attachment, unresolved data sharing and replicability challenges, ethical and animal welfare concerns, tag effects and “measurement effects performance,” and the inadequacy of the 3–5% body weight rule.
- It also states that many analytical issues remain unsolved and that major improvements are required in the theoretical and mathematical foundations of movement ecology, alongside stronger multidisciplinary collaborations.
- Evident from the text: as a review, it does not report a systematic search strategy, quantitative synthesis, or primary data; its recommendations and examples are conceptual and illustrative rather than empirically tested here.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 115 cited sources checked · 0 supported · 0 flagged
- Findingcitation
Several sensors provide proxies for oxygen consumption (VO2), including heart rate loggers and tri-axial accelerometers through computation of dynamic body acceleration (DBA).
“Several sensors provide proxies for oxygen consumption (VO2), including heart rate loggers (Green, 2011) and tri-axial accelerometers through the computation of dynamic body acceleration (DBA; reviewed in Wilson et al., 2019).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Green, 2011
Not checked in the free run.
- cites Wilson et al., 2019
Not checked in the free run.
- Findingnone given
Dead-reckoning can accumulate errors over time, especially in fluid media with current flow.
“but it can accumulate errors over time, especially in fluid media with current flow”
Quote in the paperSubstantial claim - Findingcitation
With combined use of IMUs and elevation/depth recording sensors it is possible to reconstruct animal movements in 2D and 3D using dead-reckoning, irrespective of transmission conditions.
“with the combined use of inertial measurement units (IMUs) and elevation/depth recording sensors it is possible to reconstruct animal movements in 2D and 3D using a dead-reckoning procedure, irrespective of transmission conditions”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Bidder et al., 2015
Not checked in the free run.
- cites Bramanti & Dall’Antonia, 1988
Not checked in the free run.
- Findingnone given
Dead-reckoning gives extraordinarily finely resolved relative movement.
“The process gives extraordinarily finely resolved relative movement”
Quote in the paperSubstantial claim - Findingcitation
Magnets used with Hall sensors can quantify the amplitude, angular velocity and frequency of limb movements of marine mammals.
“magnets used with Hall sensors (sensors detecting magnet-transducer paired magnetic field properties; Hall, 1879 - see S1 Table 1) can quantify the amplitude, angular velocity and frequency of limb movements of marine mammals”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson & Liebsch, 2003
Not checked in the free run.
- Findingcitation
The inter-mandibular angle can be determined by measuring changes in magnetic field strength using a Hall sensor and magnet on opposing mandibles.
“The inter-mandibular angle can be determined by measuring changes in magnetic field strength”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson, Steinfurth, Ropert-Coudert, Kato, & Murita, 2002
Not checked in the free run.
- Findingcitation
Sensors that detect stomach, oesophageal or visceral temperature can provide insights into actual prey captures.
“sensors that detect stomach, oesophageal or visceral temperature, which can provide invaluable insights into actual prey captures”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Weimerskirch, Gault, & Cherel, 2005
Not checked in the free run.
- cites Weimerskirch, Pinaud, Pawlowski, & Bost, 2007
Not checked in the free run.
- cites Wilson, Cooper, & Plötz, 1992
Not checked in the free run.
- Findingcitation
It is now possible to extract a remarkable amount of information regarding behaviour, beyond that of limb and body part movement as detected from tri-axial sensors.
“Thus, it is now possible to extract a remarkable amount of information regarding behaviour, beyond that of limb and body part movement as detected from tri-axial sensors.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Nathan et al., 2012
Not checked in the free run.
- cites Shepard, Wilson, Quintana, et al., 2008
Not checked in the free run.
- cites Williams et al., 2017
Not checked in the free run.
- Findingcitation
Drift and buoyancy inferred from time-depth recorders can provide information on the foraging success of marine predators.
“while the drift and buoyancy inferred from time-depth recorders can provide information on the foraging success of marine predators”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Abrahms et al., 2018
Not checked in the free run.
- Findingcitation
Some aspects of animals' internal state have been investigated using accelerometers sensitive to micro-movements and postures indicative of chemical, disease, and affective states.
“Some aspects of animals’ internal state have been investigated using accelerometers which are sensitive to micro-movements and postures indicative of chemical, disease, and affective states”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Downey et al., 2017
Not checked in the free run.
- cites Wilson et al., 2014
Not checked in the free run.
- cites Kröschel, Reineking, Werwie, Wildi, & Storch, 2017
Not checked in the free run.
- Findingcitation
Combining GPS and DBA measures derived from tri-axial accelerometers allows better understanding of the energetics underlying prey capture behaviour of large terrestrial predators.
“combining GPS and DBA measures derived from tri-axial accelerometers, allows us to better understand the energetics underlying prey capture behaviour of large terrestrial predators”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wilmers, Isbell, Suraci, & Williams, 2017
Not checked in the free run.
- Findingcitation
Video loggers can be combined effectively with other sensors such as accelerometers.
“Video loggers can also be combined effectively with other sensors such as accelerometers”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Watanabe & Takahashi, 2013
Not checked in the free run.
- Findingcitation
Cameras may offer the opportunity to assess what a wild animal sees in the field.
“Cameras may also offer the opportunity to assess what a wild animal sees in the field”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Moll, Millspaugh, Beringer, Sartwell, & He, 2007
Not checked in the free run.
- Findingcitation
Linking remote-sensed environmental data to location data is usually difficult because environmental data are obtained at different, generally coarser, spatiotemporal scales than movement data.
“linking them to location data is usually difficult, as environmental data are obtained at different, generally coarser, spatiotemporal scales than movement data”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dodge et al., 2013
Not checked in the free run.
- Findingcitation
Bio-loggers allow the collection of high-frequency environmental data at the local scale experienced by the animals, such as temperature, light intensity, and wind or current velocity.
“Importantly, bio-loggers allow the collection of high-frequency environmental data at the local scale experienced by the animals, such as temperature, light intensity, and wind or current velocity”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Block, 2005
Not checked in the free run.
- cites Dodge et al., 2013
Not checked in the free run.
- cites Piersma & Lindström, 2004
Not checked in the free run.
- Findingcitation
Implanted sensors such as core body temperature sensors can be combined with meteorological data to estimate the wet bulb globe temperature index (WBGT), a key measure of heat stress.
“This may be complemented by implanted sensors such as core body temperature sensors (e.g. when studying heat stress questions), combined with sophisticated use of meteorological data to estimate the so-called wet bulb globe temperature index (WBGT), a key measure of heat stress”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dimiceli, Piltz, & Amburn, 2011
Not checked in the free run.
- Findingreasoning
The number of bits with which the data are stored directly determines the quality of the data obtained.
“The number of bits with which the data are stored directly determines the quality of the data obtained.”
Quote in the paperSubstantial claim - Findingcitation
Animal-borne radar detectors have facilitated the study of seabird-fishing vessel interactions, quantifying attraction, attendance and foraging behaviour.
“This has facilitated the study of seabird-fishing vessel interactions, quantifying attraction, attendance and foraging behaviour”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Weimerskirch, Filippi, Collet, Waugh, & Patrick, 2018
Not checked in the free run.
- Findingcitation
A high frequency recording of raw data (> 20 Hz) may be necessary to compute animal posture and DBA.
“For example, a high frequency recording of raw data (> 20 Hz) may be necessary to compute animal posture and DBA”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brownscombe, Lennox, Danylchuk, & Cooke, 2018
Not checked in the free run.
- Findingreasoning
When using IMUs featuring multiple sensors, setting different frequencies for different sensors (e.g., higher for accelerometers, lower for magnetometers, even lower for temperature or pressure) can more than double the time a logger can record on a given battery size.
“Equally important, when using IMUs featuring multiple sensors, might be to set different frequencies for different sensors, such as a higher frequency for accelerometers (40 Hz), a lower frequency for magnetometers (20 Hz), and an even lower frequency for temperature or pressure sensors (e.g. 4 Hz). Such settings can more than double the time a logger can record on a given battery size”
Quote in the paperNot a substantial claim - Findingnone given
An accelerometer which records up to 8 g will miss any data of animals moving more dynamically (e.g. head impacts).
“For example, an accelerometer which records up to 8 g will miss any data of animals moving more dynamically (e.g. head impacts)”
Quote in the paperSubstantial claim - Premisecitation
A key limitation of telemetry devices is that transmission technology can fail, such as when canopy cover impedes GPS satellite fixes.
“A key limitation of telemetry devices is that transmission technology can fail, such as when canopy cover impedes GPS satellite fixes”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rempel, Rodgers, & Abraham, 1995
Not checked in the free run.
- Study design and conductreasoning
Data used in dead-reckoning need correcting with frequent ground-truthing, such as by a GPS unit.
“Therefore, data used in dead-reckoning need correcting with frequent ground-truthing, such as by a GPS unit”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bidder et al., 2015
Not checked in the free run.
- Interpretationcitation
When moving animals deviate from minimum cost of transport, it indicates time-based selection pressures that incite animals to move non-optimally in energetic terms.
“When moving animals deviate from minimum cost of transport (cf. Schmidt-Nielsen, 1972), it indicates time-based selection pressures that incite animals to move non-optimally in energetic terms”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Schmidt-Nielsen, 1972
Not checked in the free run.
- cites Shepard, Wilson, Quintana, Laich, & Forman, 2009
Not checked in the free run.
- Interpretationnone given
The speed at which an animal is moving provides information on the urgency with which the movement is being undertaken.
“Importantly, the speed at which an animal is moving provides information on the urgency with which the movement is being undertaken.”
Quote in the paperNot a substantial claim - Premisecitation
Animals make behavioural decisions based on their internal state and external biotic and abiotic factors.
“Animals make behavioural decisions based on their internal ‘state’ (physiological and psychological condition), and external biotic and abiotic factors”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Nathan et al., 2008
Not checked in the free run.
- Interpretationcitation
The greatest insight into state-driven movement is likely to be gained from multi-sensor approaches, especially combining physiological and/or neurological sensors with position-determining systems.
“The greatest insight into state-driven movement is likely to be gained from multi-sensor approaches (e.g. Wilson, Littman, Halpin, & Read, 2017), especially combining both physiological and/or neurological sensors with position-determining systems”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson, Littman, Halpin, & Read, 2017
Not checked in the free run.
- Interpretationcitation
Multi-sensor developments are helping to meet the challenge of linking internal state, as a proximate cause of movement, to ultimate evolutionary causes.
“Such multi-sensor developments are helping to meet the challenge of linking internal state, as a proximate cause of movement, to ultimate evolutionary causes”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nathan et al., 2008
Not checked in the free run.
- Study design and conductcitation
Derivation of body motion or measures of energy expenditure (DBA) requires smoothing of accelerometer data at an appropriate frequency.
“Furthermore, derivation of body motion or measures of energy expenditure (DBA) requires smoothing of accelerometer data at an appropriate frequency”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shepard, Wilson, Halsey, et al., 2008
Not checked in the free run.
- Premisecitation
The Nyquist sampling theorem holds true in temporal and spatial domains.
“This holds true in temporal and spatial domains”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ropert-Coudert & Wilson, 2004
Not checked in the free run.
- Interpretationreasoning
Low resolution may preclude recording key information such as prey capture events.
“Low resolution may preclude recording key information such as prey capture events.”
Quote in the paperSubstantial claim - Premisecitation
Animals interact with human activities, which can strongly affect animal movements.
“A particular type of interspecific interaction occurs when animals interact with human activities, which can strongly affect animal movements”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tucker et al., 2018
Not checked in the free run.
- Premisenone given
State-of-the-art camera loggers remain severely battery limited.
“even state-of-the-art camera loggers remain severely battery limited”
Quote in the paperSubstantial claim - Premisenone given
Even with recent advances in sensor size reduction, battery size still limits the size of a bio-logging device.
“even with recent advances in the reduction of sensor size, it is still battery size that limits that of the device”
Quote in the paperSubstantial claim - Premisecitation
Acceleration data do not provide a direct estimate of energy expenditure or oxygen consumed while moving.
“acceleration data do not provide a direct estimate of energy expenditure or oxygen consumed while moving.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wilson et al., 2019
Not checked in the free run.
- Premisereasoning
Bio-logging data present considerable challenges for data sharing and replicability.
“Bio-logging data also present considerable challenges for data sharing and replicability.”
Quote in the paperSubstantial claim - Premisecitation
One challenge lies in the lack of standardised protocols for data recording from animal-borne sensors.
“One challenge lies in the lack of standardised protocols for data recording from animal-borne sensors (Campbell, Urbano, Davidson, Dettki, & Cagnacci, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Campbell, Urbano, Davidson, Dettki, & Cagnacci, 2016
Not checked in the free run.
- Premisecitation
For some applications, the total mass of the tag together with the animal is more important than the relative tag mass.
“for some applications the total mass of the tag together with the animal is more important than the relative tag mass (Tomotani et al 2019)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tomotani et al 2019
Not checked in the free run.
- Premisereasoning
Sensor data often do not correspond directly to the information sought, but to a proxy that needs conversion.
“The data provided by sensors often do not correspond directly to the information we look for, but to a proxy, which needs to be converted.”
Quote in the paperSubstantial claim - Premisecitation
The challenges in data analyses are similar to those of 'big data' and 'data science' problems in ecology and other scientific disciplines.
“thus the challenges in data analyses are similar to those of ‘big data’ and ‘data science’ problems in ecology and other scientific disciplines (Hampton et al., 2013; Lewis, Vander Wal, & Fifield, 2018; Thums et al., 2018).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Hampton et al., 2013
Not checked in the free run.
- cites Lewis, Vander Wal, & Fifield, 2018
Not checked in the free run.
- cites Thums et al., 2018
Not checked in the free run.
- Premisecitation
Spherical plots that present 3-dimensional scatterplots, histograms, and clustering data by behavioural state can bypass the time scaling factor.
“Other visualisations may bypass the time scaling factor by having spherical plots that present 3-dimensional scatterplots, histograms, clustering data by behavioural state (Grundy, Jones, Laramee, Wilson, & Shepard, 2009; Williams et al., 2017; Wilson et al., 2016; Figures 4C-E).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Grundy, Jones, Laramee, Wilson, & Shepard, 2009
Not checked in the free run.
- cites Williams et al., 2017
Not checked in the free run.
- cites Wilson et al., 2016
Not checked in the free run.
- Premisereasoning
The first major challenge for the link between data collection and analyses in the IBF is the 'big data' problem.
“The first major challenge for the link between data collection and analyses in the IBF is the ‘big data’ problem.”
Quote in the paperNot a substantial claim - Premisenone given
Rapid advances in bio-logging technology now provide information-rich, big data sets, even from single individuals.
“Rapid advances in bio-logging technology now provide information-rich, big data sets, even from single individuals”
Quote in the paperSubstantial claim - Premisecitation
Integration of multi-sensor data is poorly covered by conventional time series approaches, primarily because time takes up one axis and constrains all other data to lie within its scaling and bounds.
“integration of multi-sensor data are poorly covered by this approach (Lee & Jeong, 2017; Li et al., 2016; Walker, Borgo, & Jones, 2016), primarily due to time taking up one axis and constraining all other data to lie within its scaling and bounds.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Lee & Jeong, 2017
Not checked in the free run.
- cites Li et al., 2016
Not checked in the free run.
- cites Walker, Borgo, & Jones, 2016
Not checked in the free run.
- Premisereasoning
Theoretical movement ecology has tended to focus on statistical descriptions of movement that are agnostic to the underlying life-history needs that govern movement decisions.
“Consequently, theoretical movement ecology has tended to focus on statistical descriptions of movement that are agnostic to the underlying life-history needs that govern movement decisions.”
Quote in the paperSubstantial claim - Premisecitation
Ultra-high frequency locations from dead-reckoned IMU data enable finding the precise points at which an animal changes direction.
“the ultra-high frequency locations given by dead-reckoned IMU data enable us for the first time to find the precise points at which an animal changes direction (Potts et al., 2018)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Potts et al., 2018
Not checked in the free run.
- Interpretationreasoning
The SSA approach can be extended to examine broader changes in the state of the animal, rather than simply its location, and without having to recur to statistical models trying to infer a 'hidden state'.
“Second, this approach can be extended to examine broader changes in the state of the animal, rather than simply its location, and without having to recur to statistical models trying to infer a ‘hidden state’.”
Quote in the paperSubstantial claim - Premisecitation
Behaviour classification using logger data can inform the usage of limited, or previously collected, GPS and track data to identify different behaviours.
“Behaviour classification using logger data can also inform the usage of limited, or previously collected, GPS and track data to identify different behaviours (e.g. Browning et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Browning et al., 2018
Not checked in the free run.
- Premisecitation
Bio-logging sensor data allow for the discovery of behaviours never seen before in animals.
“bio-logging sensor data allow for the discovery of behaviours never seen before in animals (Wilson et al., 2014)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson et al., 2014
Not checked in the free run.
- Premisecitation
Hooten, Scharf, & Morales (2018) present a new approach to analyse movement data, including explicit mechanistic links to physiological dynamics, to better model decision making and movement in heterogeneous environments.
“An interesting development in that direction is by Hooten, Scharf, & Morales (2018), who present a new approach to analyse movement data, including explicit mechanistic links to physiological dynamics, to better model decision making and movement in heterogeneous environments.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hooten, Scharf, & Morales (2018)
Not checked in the free run.
- Premisecitation
A related key limitation to current bio-logging devices is expressed by the 'measurement effects performance' paradigm via increased movement costs for the animal through additional mass loading or the 'drag' of the device, producing non-representative data.
“A related key limitation to current bio-logging devices is expressed by the ‘measurement effects performance’ paradigm (Wilson, Grant, & Duffy, 1986) via, for example, increased movement costs for the animal through additional mass loading or the ‘drag’ of the device (Barron, Brawn, & Weatherhead, 2010; Vandenabeele et al., 2015) producing non-representative data.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Wilson, Grant, & Duffy, 1986
Not checked in the free run.
- cites Barron, Brawn, & Weatherhead, 2010
Not checked in the free run.
- cites Vandenabeele et al., 2015
Not checked in the free run.
- Premisecitation
Animal skin-associated 'patches' are being increasingly used in lab scenarios to look at physiological variables such as stress hormones and other chemicals.
“Animal skin-associated ‘patches’ are being increasingly used in lab scenarios to look at physiological variables such as stress hormones and other chemicals (Lee, Bakh, Bisker, Brown, & Strano, 2016)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee, Bakh, Bisker, Brown, & Strano, 2016
Not checked in the free run.
- Interpretationcitation
Smart on-board data-processing has the potential to markedly increase the temporal and taxonomic range of data which can be collected.
“In tandem with this comes smart on-board data-processing (e.g. Cox et al., 2018) which has the potential to markedly increase the temporal and taxonomic range of data which can be collected.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cox et al., 2018
Not checked in the free run.
- Premisecitation
The current 'rule of thumb' based on 3-5% body weight (for aerial and terrestrial animals respectively) is naïve.
“Thus the current ‘rule of thumb’ based on 3-5% body weight (for aerial and terrestrial animals respectively) is naïve (Bodey et al., 2018)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bodey et al., 2018
Not checked in the free run.
- May combine two claims. 36
- Classified as probably not a substantial claim. 61
May combine two claims.
FindingcitationThe combined use of multiple sensors can provide indices of internal state and behaviour, reveal intraspecific interactions, reconstruct fine-scale movements and measure local environmental conditions.
“The combined use of multiple sensors can provide indices of internal ‘state’ and behaviour, reveal intraspecific interactions, reconstruct fine-scale movements and even measure local environmental conditions”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Rutz & Hays, 2009
Not checked in the free run.
- cites Wilson et al., 2014
Not checked in the free run.
Classified as probably not a substantial claim.
FindingreasoningEcologists have tended to use statistical methods post hoc to overcome the limitations of specific sensor data.
“ecologists have tended to use statistical methods post hoc to overcome the limitations of specific sensor data”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationHall sensors can measure respiration rates and extent of inhalation, heart rates, and patterns of defaecation, providing information on optimal breathing strategies and rates of digestion.
“Hall sensors can also measure respiration rates and extent of inhalation, heart rates, and even patterns of defaecation, providing information on the optimal breathing strategies and rates of digestion”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson et al., 2003, 2004
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThere is a rich and varied literature documenting increasingly successful methodologies for determining animal behaviour from various sensor data, especially accelerometers and magnetometers.
“Since the work by Yoda et al. (1999) using accelerometers to determine animal behaviour, there is a rich and varied literature that documents increasingly successful methodologies for determining animal behaviour from various sensor data, especially accelerometers (Nathan et al., 2012; Shepard, Wilson, Quintana, et al., 2008) and magnetometers (Williams et al., 2017).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Yoda et al., 1999
Not checked in the free run.
- cites Nathan et al., 2012
Not checked in the free run.
- cites Williams et al., 2017
Not checked in the free run.
May combine two claims.
FindingcitationAccelerometers and magnetometers can be used to infer 3D posture and orientation, whereas gyrometers provide direct measures of yaw, pitch and roll.
“Accelerometers and magnetometers can be used to infer the 3D posture and orientation (i.e. azimuth, elevation angle and bank angles; see SI Table 1 for a glossary of terms) during locomotion, whereas gyrometers provide direct measures of yaw, pitch and roll”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Benhamou, 2018
Not checked in the free run.
May combine two claims.
FindingcitationThe inter-mandibular angle approach can provide information about both the number of food items and the type of food ingested.
“This approach, which has been employed in several marine and terrestrial species, can provide information about both the number of food items and the type of food ingested”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ropert-Coudert et al., 2004
Not checked in the free run.
May combine two claims.
FindingcitationRemelgado et al. (2019) developed a new pixel-based approach to help ecologists deal with differences in spatial, temporal and thematic resolutions between environmental data and GPS location data; yet the problem persists with high frequency bio-logging data.
“Remelgado et al. (2019) recently developed a new pixel-based approach, combined with data mining and visualisation, to help ecologists efficiently deal with differences in the spatial, temporal and thematic resolutions between environmental data from remote sensing and GPS location data; yet the problem persists with high frequency bio-logging data.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Remelgado et al., 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe use of neurological sensors to monitor brain activity in freely moving animals is a relatively new advancement.
“The use of neurological sensors to monitor brain activity in freely moving animals is a relatively new advancement”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Rattenborg et al., 2016
Not checked in the free run.
- cites Skocek et al., 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe development of similar systems for wild animals is increasing.
“the development of similar systems for wild animals is increasing”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Takei et al., 2016
Not checked in the free run.
- cites Landry et al., 2014
Not checked in the free run.
- cites Lee et al., 2018
Not checked in the free run.
May combine two claims.
Findingnone givenGlobal environmental data can be recorded through satellite remote sensing, and bio-loggers now routinely collect local environmental data both biotic and abiotic.
“Global environmental data can be recorded through satellite remote sensing, and bio-loggers now routinely collect local environmental data both biotic and abiotic”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Table 1
Not checked in the free run.
- cites SI Table 1
Not checked in the free run.
May combine two claims.
FindingcitationOther key sensors that can provide insights into internal state include heart rate, internal temperature, and neurological sensors.
“Alongside accelerometers, other key sensors that can provide insights into internal state include heart rate, internal temperature, and neurological sensors”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rattenborg et al., 2016
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationResearch on humans has demonstrated that bio-loggers can measure a suite of physiological variables relating to internal state.
“Research on humans has demonstrated that bio-loggers can measure a suite of physiological variables relating to internal state”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Nikita, 2014
Not checked in the free run.
- cites Yang, 2014
Not checked in the free run.
May combine two claims.
FindingcitationAnimal-borne radar detectors can detect signals from emitting radars and can be used in combination with a tracking device to log the occurrence of structures along an animal's movement path.
“An interesting development is animal-borne radar detectors, which detect signals from emitting radars in the surroundings and can be used in combination with a tracking device to log the occurrence of structures along an animal’s movement path”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Table 1
Not checked in the free run.
- cites SI Table 1
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationStoring on-board only sub-sampled or summary data, rather than raw high-frequency data, can reduce data storage requirements and ideally allow remote transmission.
“Another area of current research (e.g. see Cox et al., 2018) is focussing on finding clever ways to store on-board only sub-sampled or summary data, rather than the raw high-frequency data, thereby reducing data storage requirements and, ideally, allow remote transmission of the data”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cox et al., 2018
Not checked in the free run.
May combine two claims.
FindingcitationWireless sensor networks where animal-mounted sensors communicate with other sensors and stationary receiver stations enable near real-time data transmission, which is key to evaluating system performance and planning and monitoring experimental manipulations.
“Some systems are set up as wireless sensor networks where animal-mounted sensors not only communicate with other sensors, but also with (a large number of) stationary receiver (base) stations (Rutz et al., 2012). This enables near real-time data transmission, which is key to evaluating system performance and to planning and monitoring experimental manipulations (St Clair et al., 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Rutz et al., 2012
Not checked in the free run.
- cites St Clair et al., 2015
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenProximity sensors can also be used to record interspecific encounters, for example between predators and their prey, between different disease hosts, or in mixed groups of foraging or migrating animals.
“Proximity sensors can also be used to record interspecific encounters, for example between predators and their prey, between different disease hosts, or in mixed groups of foraging or migrating animals.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenHigher frequencies draw more current; doubling the frequency from 20 Hz to 40 Hz might require doubling or more the battery size/capacity, and hence weight, depending on the specifics of the sensors.
“however, higher frequencies draw more current (doubling the frequency from 20 Hz to 40 Hz might require to double or more the battery size/capacity, and hence weight, depending on the specifics of the sensors)”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationThere are trade-offs between the quantity of data collected and the time a tag collects data on an individual, as well as trade-offs between the amount of data collected on single individuals against the number of different animals monitored across time and space.
“Equally important are trade-offs between the quantity of data collected and the time a tag collects data on an individual, as well as trade-offs between the amount of data collected on single individuals against the number of different animals monitored across time and space”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationnone givenThere is scant treatment in high-profile reviews of how best to match the most appropriate sensors and sensor combinations to specific biological questions.
“Within these reviews, however, there exists scant treatment of how best to match the most appropriate sensors and sensor combinations to specific biological questions.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningNo clear guide exists to promote best practices for matching sensors and analytical methods.
“no clear guide exists to promote best practices”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenMulti-sensor approaches are a new frontier in bio-logging.
“We highlight that multi-sensor approaches are a new frontier in bio-logging”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAt the smallest scale, animals move according to their anatomy and biomechanics, with differences between animals in fluid media or on the ground.
“At the smallest scale (locomotion), animals move according to their anatomy and the biomechanics that this engenders, with obvious differences between animals operating in fluid media (air or water) or on the ground”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Biewener & Patek, 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningLocomotion is manifested by particular patterns of movement by body parts so that motion-sensitive transducers can provide critical information on pattern and intensity of movements and derive whole-animal movement parameters such as speed and direction.
“locomotion is manifested by particular patterns of movement by the various body parts (most notably limbs) so that motion-sensitive transducers can provide critical information with respect to the pattern and intensity of movements and thereby derive critical whole-animal movement parameters such as speed and direction”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationStudies are now able to examine food acquisition within a probabilistic framework and make predictions about how food abundance may affect populations.
“Indeed, such is the detail provided by these sensors that studies are now able to examine food acquisition within a probabilistic framework and thereby make predictions about how food abundance may affect populations”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson, Neate, et al., 2018
Not checked in the free run.
May combine two claims.
InterpretationcitationIdentifying and quantifying how internal state may drive behaviour is non-trivial and can often only be indirectly inferred.
“Identifying and quantifying how internal state may drive behaviour is non-trivial, and can often only be indirectly inferred”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Getz & Saltz, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenWhat is happening in the environment is the other prime driver of animal movement.
“Alongside the internal state, what is happening in the environment is the other prime driver of animal movement.”
Quote in the paperNot a substantial claim- Rests on an assumption: What is happening in the environment is the other prime driver of animal movement.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenAn animal's movement decisions are likely to be influenced by interactions with conspecifics and heterospecifics.
“an animal’s movement decisions are likely to be influenced by interactions with conspecifics and heterospecifics”
Quote in the paperNot a substantial claim- Rests on an assumption: An animal’s movement decisions are likely to be influenced by interactions with conspecifics and heterospecifics.
Classified as probably not a substantial claim.
PremisecitationThe Nyquist or sampling theorem states that the sampling frequency should be at least twice the fastest frequency of interest.
“researchers should apply the Nyquist or sampling theorem, which states that the sampling frequency should be at least twice the fastest frequency of interest”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ropert-Coudert & Wilson, 2004
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenHighly prescribed, low frequency sampling may miss serendipitous observations of importance and may preclude the detection of new, never observed behaviours.
“We do note, however, that highly prescribed, low frequency sampling may miss serendipitous observations of importance and may preclude the detection of new, never observed behaviours.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCurrent available camera loggers are small enough, at approximately 10 g, to be fitted to a wide range of species.
“current available loggers are small enough, at approximately 10 g, to be fitted to a wide range of species (Rutz et al., 2007)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rutz et al., 2007
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone givenPre-processing is required for integrating data provided by different sensors, possibly at different rates and often based on separate clocks, exposing systems to clock drift.
“Pre-processing is also required for integrating data provided by different sensors, possibly at different rates, and often based on separate clocks (exposing systems to clock drift)”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA GPS running at 1 Hz may require 30-50 mA of current, whereas a modern IMU recording tri-axial acceleration and magnetometer data at 40 Hz requires only 5-10 mA.
“a GPS running at 1 Hz may require between 30-50 mA of current, where as a modern IMU recording tri-axial acceleration and magnetometer data at 40 Hz requires only 5-10 mA of current (Bidder et al. 2014)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bidder et al. 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Premisenone givenA simple and efficient solution consists of sub-sampling the processed data to a level (or deriving averages) to accord with the Nyquist frequency.
“A simple and efficient solution consists of sub-sampling the processed data to a level (or deriving averages) to accord with the Nyquist frequency.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNoise can be reduced by filtering, e.g., taking a running mean, or by more complex approaches such as Fourier transformations or Kalman filtering.
“Noise can be reduced by filtering, e.g. by taking a running mean, or may involve more complex approaches such as Fourier transformations or Kalman filtering (e.g. Alam & Rohac, 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Alam & Rohac, 2015
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenData recorded at high frequency are both noisy and highly serially auto-correlated.
“Notably, data recorded at high frequency are both noisy and highly serially auto-correlated.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA growing body of literature highlights the importance of tag shape and attachment in affecting an animal's drag in aerial and marine environments.
“a growing body of literature now highlights the importance of tag shape and attachment in terms of affecting an animals drag in aerial and marine environments (e.g. Kay et al 2019, Lear et al 2018, Vandenabeele et al. 2014)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Kay et al 2019
Not checked in the free run.
- cites Lear et al 2018
Not checked in the free run.
- cites Vandenabeele et al. 2014
Not checked in the free run.
Classified as probably not a substantial claim.
Premisenone givenReducing battery consumption extends the life of a bio-logging device.
“Reducing battery consumption not only extends the life of a bio-logging device”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationTo estimate energy expenditure from acceleration, the dynamic component must be extracted from raw acceleration, converted to DBA, and correlated with energy or oxygen through controlled lab experiments.
“First, the dynamic component has to be extracted from the raw acceleration values, then converted to DBA, which finally has to be correlated with energy or oxygen through controlled lab experiments (reviewed in Wilson et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wilson et al., 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningVisual analytics systems can be linked interactively to allow different aspects of the same data to be explored, with and without temporal and spatial scales.
“Thus, such visual analytics systems can be linked interactively to allow different aspects of the same data to be explored, with and without temporal and spatial scales.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationBehavioural classification may involve searching for behaviour-linked thresholds, but more commonly involves consideration of multiple data streams.
“This may involve searching for behaviour-linked thresholds, such as an increase in pressure to indicate diving (Kooyman, 1964) but more commonly will involve consideration of multiple data streams (Viviant, Trites, Rosen, Monestiez, & Guinet, 2010; Yoda et al., 2001)”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Kooyman, 1964
Not checked in the free run.
- cites Viviant, Trites, Rosen, Monestiez, & Guinet, 2010
Not checked in the free run.
- cites Yoda et al., 2001
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationConventional time series plots with summary statistics and data transformations are useful for classification of time series data.
“While such approaches are useful for classification of time series data (Walker et al., 2015)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Walker et al., 2015
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationData visualisation converts complex patterns in data into a visual display, capitalising on the human visual system to pick out patterns and provide insights into data relations.
“Data visualisation converts complex patterns in data into a visual display, capitalising on the extraordinary capacity of the human visual system to pick out patterns in complex landscapes, and thereby provide insights into data relations (Ware, 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ware, 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationA key part of exploratory data analysis consists in devising efficient ways to visualise and display quantitative information.
“A key part of exploratory data analysis consists in devising efficient ways to visualise and display quantitative information (Tukey, 1977)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tukey, 1977
Not checked in the free run.
May combine two claims.
PremisecitationSpherical plots are multi-layer and can present environmental data such as pressure and temperature as well as metrics of energetic expenditure.
“The value in these spherical plots is that they are also multi-layer and present environmental data such as pressure and temperature as well as metrics of energetic expenditure (Roberts, Laramee, & Jones, 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Roberts, Laramee, & Jones, 2015
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningEfficient data sharing and archiving across many studies and authors will be key to answer the big questions in movement ecology and will reduce the need to collect new data.
“Efficient data sharing and archiving across many studies and authors will be key to answer the big questions in movement ecology, e.g. global responses to environmental change (Figure 3), and will reduce the need to collect new data”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenLogging data require very detailed metadata on the attachment type and position on the animal of the loggers; otherwise establishing a close relationship between sensor output and orientation/posture of the animal will be near impossible.
“Logging data require very detailed metadata on the attachment type and position on the animal of the loggers, as otherwise, establishing a close relationship between the output from sensor data (such as triaxial accelerometer) and the orientation and posture of the animal, will be near impossible.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMuch emphasis has recently been placed on machine learning algorithms to classify behaviours automatically.
“much emphasis has recently been placed on machine learning algorithms (including K-Nearest Neighbour [KNN], Support Vector Machines [SVMs], Classification and Regression Trees [CART], and Artificial Neural Networks [ANNs]) to classify behaviours automatically (Nathan et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nathan et al., 2012
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningIncorporating high-resolution information from bio-logging studies can change this and enable answering questions that link movement decisions to life-history needs.
“Incorporating high-resolution information from bio-logging studies can change this, as well as enable us to answer questions that link movement decisions to the life-history needs of animals.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisereasoningThere is a tendency to put all primary data streams as well as derived elements into machine-learning processes, and because the machine does not know which data streams are most relevant at the outset, processing times can be prohibitively long.
“Against this, there is a tendency to put all primary data streams as well as derived elements (such as DBA metrics) into the process. Because the machine does not know which data streams are most relevant at the outset, processing times can be prohibitively long.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere are a variety of techniques that use movement to infer changes in behaviour by observing how features such as speed or tortuosity change over time.
“there are a variety of techniques that use movement to infer changes in behaviour, by observing how features such as speed, or tortuosity change over time (Hooten, Johnson, McClintock, & Morales, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hooten, Johnson, McClintock, & Morales, 2017
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningThe obvious downside to the Boolean framework approach is the level of expertise of the user and familiarity with the meaning of the data streams.
“The obvious downside to this approach is the level of expertise of the user and familiarity with the meaning of the data streams”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAll of these examples model movement in a descriptive fashion, where biases and correlations represent hypothesised behavioural features and aspects not directly known or testable as 'random walks' or 'hidden states'.
“All of these examples model movement in a descriptive fashion, where the biases and correlations (Benhamou, 2014; Codling, Plank, & Benhamou, 2008) represent hypothesised behavioural features of the movement path and the aspects of the movement that we either do not have direct knowledge of or are unable to test, as ‘random walks’, or ‘hidden states’.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Benhamou, 2014
Not checked in the free run.
- cites Codling, Plank, & Benhamou, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenStep selection analysis (SSA) is one of the most widely-used techniques for inferring the environmental drivers behind observed movement patterns.
“Step selection analysis (SSA) is one of the most widely-used techniques for inferring the environmental drivers behind observed movement patterns.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is a long history of theoretical investigation into the reasons and rules underpinning animal movement.
“There is a long history of theoretical investigation into the reasons and rules underpinning animal movement (Nathan et al., 2008) including, for example, optimal foraging theory (Houston, Clark, McNamara, & Mangel, 1988; Pyke, 1984).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Nathan et al., 2008
Not checked in the free run.
- cites Houston, Clark, McNamara, & Mangel, 1988
Not checked in the free run.
- cites Pyke, 1984
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe convenience of machine-learning systems is that they require little specialist knowledge and information about the data streams from the researcher.
“The convenience of machine-learning systems is that they require little specialist knowledge and information about the data streams from the researcher.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSupervised machine-learning models are trained with segments of data that have been manually labelled according to behaviour.
“Supervised machine-learning models are trained with segments of data that have been manually labelled according to behaviour (Carroll, Slip, Jonsen, & Harcourt, 2014; Watanabe & Takahashi, 2013).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Carroll, Slip, Jonsen, & Harcourt, 2014
Not checked in the free run.
- cites Watanabe & Takahashi, 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenHistorically, there have been inadequate data on the energetics and details of movements to embrace optimality properly.
“However, historically, there have been inadequate data on the energetics and the details of movements to embrace optimality properly.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenSpeed of movement exposes animals differentially to conditions and equates to (the square root of) power.
“Speed of movement exposes animals differentially to conditions and equates to (the square root of) power.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenAlthough sensor technology is advancing rapidly, the ethics of bio-logging is still a major concern both in terms of fitting the device, which often requires capture, and the effects of carrying a bio-logger for the study subject.
“Although sensor technology is advancing rapidly, the ethics of bio-logging is still a major concern both in terms of fitting the device, which often requires capture, and the effects of carrying a bio-logger for the study subject.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningImproving the ability of these devices to remotely transmit data would improve their applicability and reduce invasiveness, though may require additional weight in terms of electronics and battery.
“Improving the ability of these devices to remotely transmit data would improve their applicability and reduce invasiveness, though may require additional weight in terms of electronics and battery.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenMost devices store data on-board, necessitating recapture of animals and the recovery of the units.
“An additional limitation, is that most devices store data on-board, necessitating recapture of animals and the recovery of the units.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe combination of real-time processing and transmission of data will not only enable scientists to dynamically adapt experiments, but has applications in conservation and management.
“The combination therein of real-time processing and transmission of data will not only enable scientists to dynamically adapt experiments, but has applications in conservation and management.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningState-space models and behavioural change-point analysis would be enhanced greatly by careful incorporation of data on acceleration or energy expenditure.
“Similarly, state-space models and behavioural change-point analysis would be enhanced greatly by careful incorporation of data on acceleration or energy expenditure.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenSuch large-scale tagging has major ethical implications, as not only a small subset is affected but an entire group, community or population.
“Such large-scale tagging has major ethical implications, as not only a small subset is affected but an entire group, community or population.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThanks to an improved mechanistic understanding, we might actually be able to predict animal responses to future conditions.
“thanks to an improved mechanistic understanding, we might actually be able to predict animal responses to future conditions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenAs bio-logging technology continues to advance, the ability to study an individual or population throughout their entire life from conception to death becomes a more realistic possibility.
“As bio-logging technology continues to advance, the ability to study an individual or population throughout their entire life from conception to death becomes a more realistic possibility.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThere are other important moral and ethical considerations to animal detriment, such as cumulative effects (as a result of re-tagging) and long-term effects (decreased survival and/or lifetime reproductive success, which may not be easily evident from short term changes in movement and activity patterns).
“There are also other important moral and ethical considerations to animal detriment (Cooke et al., 2017; Wilson et al., 2019), such as cumulative effects (as a result of re-tagging) and long-term effects (decreased survival and/or lifetime reproductive success, which may not be easily evident from short term changes in movement and activity patterns).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Cooke et al., 2017
Not checked in the free run.
- cites Wilson et al., 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe data-rich approach driven by animals will help us to understand why animals do what they do, pinpointing drivers that range from internal state responses to pan-ocean basin atmospheric conditions.
“the data-rich approach driven by animals will not only help us to understand why animals do what they do, pinpointing drivers that range from internal state responses to pan-ocean basin atmospheric conditions”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe behavioural states in state-space and hidden Markov models are often 'hidden', but bio-logging data may be able to shed light on these states more directly.
“Indeed, the behavioural states in these models are often “hidden” (as in “hidden Markov model”) but the sort of bio-logging data described in this review may be able to shed light on these states more directly.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningThis will be a major change in the field and allow markedly improved and biologically relevant understanding compared to any of the even most sophisticated modelling approaches currently used.
“This will be a major change in the field and allow markedly improved and biologically relevant understanding to be obtained; compared to any of the even most sophisticated modelling approaches currently used.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationMovement ecologists therefore have to deal with processes which span multiple scales of spatio-temporal and biological complexity.
“Movement ecologists therefore have to deal with processes which span multiple scales of spatio-temporal and biological complexity (Torney, Hopcraft, Morrison, Couzin, & Levin, 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Torney, Hopcraft, Morrison, Couzin, & Levin, 2018
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
PremisecitationHow to link and predict processes occurring across different scales is a central question in ecology yet difficult to address, with the key issues being to identify the correct mesoscopic scale connecting microscopic processes to macroscopic patterns.
“How to link and predict processes occurring across different scales is a central question in ecology (Levin, 1992) yet difficult to address, with the key issues being to identify the correct mesoscopic scale connecting microscopic processes to macroscopic patterns.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Levin, 1992
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationcitationEcologists can feed new developments back to other disciplines, e.g., as inspiration for new theorems, or for biologically inspired engineering.
“ecologists can feed new developments back to other disciplines, e.g. as inspiration for new theorems (Cohen, 2004; Sturmfels, 2005), or for biologically inspired engineering (Bionics)”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Cohen, 2004
Not checked in the free run.
- cites Sturmfels, 2005
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenActions to bring together multi-disciplinary groups of experts are gathering momentum in movement ecology.
“Indeed, actions to bring together multi-disciplinary groups of experts are gathering momentum in movement ecology; these include the EU COST actions from MOVE to develop improved methods for knowledge discovery from moving objects and big data”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningWe may now have access to vastly improved information for wild animal biologists to predict processes.
“We may now have access to vastly improved information for wild animal biologists to predict processes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
Interpretationnone givenA clear potential exists for a vastly improved mechanistic understanding of animal movements and their role in ecological processes, from which we can build unprecedented and realistic predictive models.
“a clear potential exists for a vastly improved mechanistic understanding of animal movements and their role in ecological processes, from which we can build unprecedented and realistic predictive models.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Premisenone givenThere is a clear synergy between local (small-scale) information provided by sensors and large-scale information provided by, for example, remote sensing data.
“In particular, there is a clear synergy between local (small-scale) information provided by sensors and large-scale information provided by, for example, remote sensing data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Premisenone givenBiological systems are fundamentally characterised by additional intra- and inter-specific heterogeneity.
“whereas biological systems are instead fundamentally characterised by additional intra- and inter-specific heterogeneity.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Bio-logging has become so multifaceted and complex that no-one can be a ‘master of all trades’.
“bio-logging has become so multifaceted and complex that no-one can be a ‘master of all trades’, hence, establishing multi-disciplinary collaborations is key”
The paper relies on this without support.
An animal’s movement decisions are likely to be influenced by interactions with conspecifics and heterospecifics.
“an animal’s movement decisions are likely to be influenced by interactions with conspecifics and heterospecifics”
The paper relies on this without support.
What is happening in the environment is the other prime driver of animal movement.
“Alongside the internal state, what is happening in the environment is the other prime driver of animal movement.”
The paper relies on this without support.
Allocating behaviours to space is key to understanding animal niche requirements and the link between behaviour and fitness consequences.
“Allocating behaviours to space is key to understanding animal niche requirements and the link between behaviour and fitness consequences.”
The paper relies on this without support.
Bio-logging technology will continue to advance.
“As bio-logging technology continues to advance”
The paper relies on this without support.
Animal welfare is an important consideration in bio-logging study design.
“the ethics of bio-logging is still a major concern both in terms of fitting the device, which often requires capture, and the effects of carrying a bio-logger for the study subject”
The paper relies on this without support.
Data sharing and archiving are beneficial for movement ecology.
“Efficient data sharing and archiving across many studies and authors will be key to answer the big questions in movement ecology”
The paper relies on this without support.
Multi-disciplinary collaborations are necessary for optimizing bio-logging studies.
“Collaboration is key to the framework’s success as a tool for optimisation of bio-logging studies.”
The paper relies on this without support.
The Integrated Bio-logging Framework is a useful tool for optimizing bio-logging studies.
“synthesised this into an Integrated Bio-logging Framework (IBF) for movement ecology research”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Processing big ecological data necessitates analytical techniques of such complexity that no single ecologist can be expected to have all the technical expertise (plus domain knowledge) required to carry out groundbreaking studies.
“Finally, we wish to re-emphasize that the vision described here cannot be achieved without interdisciplinary thinking: for all these exciting opportunities, processing big ecological data is necessitating analytical techniques of such complexity that no single ecologist can be expected to have all the technical expertise (plus domain knowledge) required to carry out groundbreaking studies65.”
From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [65]
The citation lists haven’t been fetched yet
References 175 · Cited by 333
Research works printed but not linked: 4
- Dimiceli V. E. Piltz S. F. &Amburn S. A.. (2011).Estimation of black globe temperature for calculation of the wet bulb globe temperature index. In Proceedings of the World Congress on Engineering and Computer Science 2011 (Vol.II p. WCECS 2011 October 19–21 2011 San Francisco US).
- Kenward R. E., 2001, A manual for wildlife radiotracking
- Sturmfels B., 2005, Can biology lead to new theorems?, Annual Report of the Clay Mathematics Institute, 13
- Weimerskirch H., 2009, 30 years of wildlife tracking with ARGOS, 3
- Authors
- Williams, H. J., Taylor, L. A., Benhamou, S., Bijleveld, A. I., Clay, T. A., de Grissac, S., Demšar, U., English, H. M., Franconi, N., Gómez‐Laich, A., Griffiths, R. C., Kay, W. P., Morales, J. M., Potts, J. R., Rogerson, K. F., Rutz, C., Spelt, A., Trevail, A. M., Wilson, R. P., & Börger, L.
- Affiliations
- Swansea University (GB)
- Save the Elephants (KE)
- Centre National de la Recherche Scientifique (FR)
- Utrecht University (NL)
- University of Liverpool (GB)
- Department of Biosciences College of Science Swansea University Swansea UK
- University of St Andrews (GB)
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- University of Sheffield (GB)
- University of East Anglia (GB)
- University of Bristol (GB)
- Corresponding author
- Williams, Hannah J.
- Taylor, Lucy A.
- ORCID
- Williams, Hannah J.
- Taylor, Lucy A.
- Benhamou, Simon
- Bijleveld, Allert I.
- Clay, Thomas A.
- de Grissac, Sophie
- Demšar, Urška
- English, Holly M.
- Franconi, Novella
- Gómez‐Laich, Agustina
- Kay, William P.
- Morales, Juan Manuel
- Potts, Jonathan R.
- Rogerson, Katharine F.
- Rutz, Christian
- Spelt, Anouk
- Trevail, Alice M.
- Wilson, Rory P.
- Börger, Luca
- Venue
- Journal of Animal Ecology
- Publisher
- Wiley
- Published
- 2019-10
- Volume
- 89
- Issue
- 1
- Pages
- 186-206
- ISSN
- 0021-8790 (ISSN-L)
- 1365-2656
- PMC
- PMC7041970
- OpenAlex
- W2969700004
- Semantic Scholar
- e933af649081babc5da092c79ef7f764e8f14115
- Cited by
- 333
- References
- 175
- Citations by year
- 2026: 28 · 2025: 51 · 2024: 57 · 2023: 55 · 2022: 57 · 2021: 62 · 2020: 20 · 2019: 3
- FWCI
- 22.53
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Animal Ecology (publishedVersion)
- PubMed (publishedVersion)
- NIOZ Publications (Royal Netherlands Institute for Sea Research) (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- St Andrews Research Repository (St Andrews Research Repository) (acceptedVersion)
- Flanders Marine Institute (Flanders Marine Institute) (submittedVersion)
- HAL (submittedVersion, other-oa)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion, cc-by-sa)
- KOPS (University of Konstanz) (submittedVersion)
- Conicet (submittedVersion, cc-by-nc-sa)
- Funders
- British Ecological Society
- Swansea University
- European Regional Development Fund
- Natural Resources Wales
- Natural Environment Research Council
- Topics
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
- Keywords
- biologging, movement ecology, multi-sensor data, animal movement, data visualization, GPS, sensor technology
- MeSH terms
- Animals, Ecology, Movement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review