Download FAR 2015/71 Assessing the performance of pāua (Haliotis iris) fisheries using GPS logger data

The pāua data-logger data collection programme is an industry-led initiative to achieve monitoring of the fishery. The loggers collect fine-scale dive and position data from free-diving fishers. In this study, we provide a first analysis of the data obtained from the programme, characterising its uptake and coverage in the fishery and use linear mixed models to investigate the importance of dive patterns for reported catch. Bottom time was found to be the best predictor of catches within QMAs.