Task 3

Assessing factors informing cue rate stability

Cue rate changes over time and space will be investigated to understand the main drivers of cue rate variability. Covariates that may be used to predict cue rate at times and locations where they are not measured will be considered, as well as covariates that may not always be available in a particular setting, but that enhance the understanding of cue production. Such covariates would enable the evaluations of potential biases of the existing tag datasets. Using the datasets identified previously, key drivers of cue rate variability across a range of taxa will be explored and identified. Factors affecting cue rates might be as diverse as time of day, sex, season, depth, species, population, sub-population, behavioral state, and worse of all, density itself. Models will be built predicting cue rate as a function of possible factors of interest, providing a framework to estimate cue rate for other times and places based on available covariates.

Team members

• Tiago Marques
• Diana Marques
• Carolina Marques
• Kalliopi Gkikopoulou

Progress

Watch this space for task updates.