2024/02/12 by Azar Taheri Tayebi, Julia S. Schmid, Tayebi, Azar Taheri +9
Environmental Science · #Coastal and Marine Management #FOS: Physical sciences #Fish Ecology and Management Studies #Marine and fisheries research #Physics and Society (physics.soc-ph)
paper · pdf · doi:10.48550/arxiv.2402.07964
openalex publication_date 2024/02/12 · openalex created_date 2024/02/15 · openalex updated_date 2026/07/28
Reliable angler activity data inform fisheries management. Traditionally, such data are gathered through surveys, but an innovative cost-effective approach involves utilizing online platforms and smartphone applications. These citizen-sourced data were reported to correlate with conventional survey information. However, the nature of this correlation--whether direct or mediated by intermediate variables--remains unclear. We applied BNs to data from conventional surveys, the Angler's Atlas website, the MyCatch smartphone application, and environmental data across Alberta and Ontario, Canada, to detect probabilistic dependencies. Using Bayesian model averaging, we quantified the strength of connections between variables. Waterbody webpage views were directly related to daily and weekly-aggregated boat counts in Ontario (51% and 100% probability) and to weekly-aggregated creel survey-reported fishing duration in Alberta (100%). This highlights the value of citizen-sourced data in providing unique insights beyond meteorological factors, with online interest serving as a potentially reliable proxy for angler pressure and effort.