Cited by 333Wildlife Ecology and ConservationHuman Mobility and Location-Based AnalysisAnimal Ecology and Behavior Studies

Optimizing the use of biologgers for movement ecology research

Open access
Williams, Hannah J., Taylor, Lucy A., Benhamou, Simon, Bijleveld, Allert I., Clay, Thomas A., de Grissac, Sophie, Demšar, Urška, English, Holly M. +12 more·2020·Journal of Animal Ecology

Abstract

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

Crossref · 10.1111/1365-2656.13094

Cites

Statistics

Nothing to recompute.

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.

  • May combine two claims. 36
  • Classified as probably not a substantial claim. 61
  • May combine two claims.

    Findingcitation

    The 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.

    Findingreasoning

    Ecologists 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 claim
  • May combine two claims.

    Findingcitation

    Hall 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).

    Findingcitation

    There 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.

    Findingcitation

    Accelerometers 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.

    Findingcitation

    The 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.

    Findingcitation

    Remelgado 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).

    Findingcitation

    The 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).

    Findingcitation

    The 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 given

    Global 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.

    Findingcitation

    Other 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).

    Findingcitation

    Research 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.

    Findingcitation

    Animal-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.

    Findingcitation

    Storing 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.

    Findingcitation

    Wireless 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 given

    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.

    “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 claim
  • May combine two claims.

    Findingnone given

    Higher 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 claim
  • May combine two claims.

    Findingcitation

    There 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 claim
  • Classified as probably not a substantial claim.

    Interpretationnone given

    There 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 claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    No 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Multi-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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    At 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).

    Premisereasoning

    Locomotion 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 claim
  • May combine two claims.

    Interpretationcitation

    Studies 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.

    Interpretationcitation

    Identifying 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 given

    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.”
    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 given

    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”
    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.

    Premisecitation

    The 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 given

    Highly 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Current 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 given

    Pre-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 claim
  • May combine two claims.

    Premisecitation

    A 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 given

    A 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Noise 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 given

    Data 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A 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 given

    Reducing 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    To 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).

    Premisereasoning

    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.

    “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 claim
  • May combine two claims.

    Premisecitation

    Behavioural 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).

    Premisecitation

    Conventional 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).

    Premisecitation

    Data 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).

    Premisecitation

    A 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.

    Premisecitation

    Spherical 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.

    Interpretationreasoning

    Efficient 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisenone given

    Logging 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Much 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.

    Interpretationreasoning

    Incorporating 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Premisereasoning

    There 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    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.

    “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).

    Premisereasoning

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    All 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 given

    Step 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    There 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 given

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Supervised 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 given

    Historically, 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    Speed 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 claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    Most 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    The 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    State-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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Such 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Thanks 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    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.

    “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 claim
  • May combine two claims.

    Premisecitation

    There 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 given

    The 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    The 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationreasoning

    This 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationcitation

    Movement 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.

    Premisecitation

    How 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).

    Interpretationcitation

    Ecologists 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 given

    Actions 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning

    We 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Premisenone given

    There 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Premisenone given

    Biological 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
78 of 78
  • 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”
9 of 9

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

  1. 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).
  2. Kenward R. E., 2001, A manual for wildlife radiotracking
  3. Sturmfels B., 2005, Can biology lead to new theorems?, Annual Report of the Clay Mathematics Institute, 13
  4. 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.
Venue
Journal of Animal Ecology
Publisher
Wiley
Published
2019-10
Volume
89
Issue
1
Pages
186-206
ISSN
  • 0021-8790 (ISSN-L)
  • 1365-2656
OpenAlex
W2969700004
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
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