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Table 5 Recommendations for potential refinements to the programming, modelling and outputs phases to reduce risk of overinterpretation for researchers working on surface-orientated pelagic fish using MiniPATs and the GPE3

From: Maximising the value of transmitted data from PSATs tracking marine fish: a case study on Atlantic bluefin tuna

Phase

Action

Description

Benefit to researcher

Programming

Message transmission summary

Once programmed, tag software could provide the researcher with estimated scenarios for data recovery based on latitude and longitude of estimated pop-up location. This is covered along with a method in Patterson and Hartmann [23]. Work to understand the effect of temperature on transmissions could also benefit this

It would allow researchers to make realistic assumptions on data recovery

Transmission schedule

An option for PSATs to assign priority to geolocation data messages could be included at the programming stage. For instance, two geolocation data messages could be transmitted for every auxiliary message, enhancing the likelihood of enough geolocation data being recovered to generate plausible tracks

More geolocation data whilst also having some data on other variables (e.g., temperature and depth)

Modelling

Speed parameter

Recommendation for researchers to conduct a sensitivity analysis on the impact of the speed parameter on movement reconstructions

Setting speeds too low can result in erroneous track reconstructions and too high can cause overfitting

Temperature matching threshold

For observation-driven locations do not allow progression of SSM if tag-derived SST at a location more than a specified threshold is ± remotely sensed SST

For occasions, where SST is likely to be more important for geolocating (e.g., around the equinoxes), this would prevent extreme outliers

Output

Including uncertainty estimates with model outputs

Semi-major and semi-minor axis of the 99th likelihood should be included as an output of the model alongside most likely locations

Researchers would be able to assess error quickly and without the need for opening separate files, which can be computationally costly. The files would still be there if researchers decided this warranted a closer look

Data volume index

A notification or statement outlining the volume of geolocation data used to generate the track. Ultimately different species/PSATs/SSMs will require differing volumes of data but this would increase awareness of the importance of data volume

Reduce the risk of including analysis of erroneous and uncertain data, and ultimately making Type I or Type II errors when hypothesis testing

Gap warning

If there are gaps longer than 5% of the data set length (i.e., 15 days for a 300 day data set), warn that these gaps could inflate error

Reduce the risk of including analysis of erroneous and uncertain data, and ultimately making Type I or Type II errors when hypothesis testing

  1. For completeness, we have included steps here that are not the subject of this study, but that are broadly relevant and useful