Fisheries Infosite

FAR 2015/71 Assessing the performance of paua Haliotis iris fisheries using GPS logger data.

Filename
FAR-2015-71-Paua-data-logger.pdf

Link to file
FAR-2015-71-Paua-data-logger.pdf (3.3 MB)

Abstract
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.

Document date
Friday, 20 November 2015
Document type
V 1.3
File format
Adobe PDF
File size
3.3 MB
Reference number
978-1-77665-103-0
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Uploaded from
FAR-2015-71-Paua-data-logger.pdf

Uploaded date
Friday, 20 November 2015

Search tags
Author: Abraham, E.R.; Knox, C.; Neubauer, P.; Richard, Y.;
ResearchField: Bayesian linear model; dive logger; GPS logger data; Paua; perfomance;
ScienceStock: Shellfish;
Species: Haliotis iris; Paua;

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