Abstract
Previous studies that have investigated relationships between the lunar cycle and recreational fishing success have all suffered from various problems—most notably, the failure to account for potential confounders in a statistically rigorous manner. We propose methods to account for season, fisher identity, fishing effort, day, and variation in biomass, all of which have previously either been omitted or handled in an ad hoc way. These are applied to two sets of data on recreational fishing of the snapper Pagrus auratus in New Zealand. In addition to estimating effects due to lunar phase, we also implement these methods to analyse the performance of a lunar-based indigenous M\({{\bar{\mathrm{a}}}}\)ori fishing calendar. Recreational fishers in New Zealand often make use of such calendars in order to predict fishing success on specific days, however little is known about the performance of such predictions or whether they hold any practical use to the everyday angler. A relationship between lunar phase and fishing success is identified, as well as support for some aspects of the M\({{\bar{\mathrm{a}}}}\)ori fishing calendar predictions. The magnitudes of these effects are small, however, casting doubt on the practical relevance of lunar based fishing predictions. In addition to the known seasonal trend associated with annual migration, an unexpected second trend is detected, and postulated to be associated with intense local fishing pressure over the summer vacation period.
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Acknowledgments
We wish to thank Bill Hohepa and OceanFun Publishing Ltd. for the provision of historical fishing calendar predictions, and two anonymous reviewers for their comments and suggestions which helped to improve the original manuscript.
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Handling Editor: Pierre Dutilleul.
This study was partially supported by a University of Auckland Masters Scholarship.
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Stevenson, B.C., Millar, R.B. Promising the moon? Evaluation of indigenous and lunar fishing calendars using semiparametric generalized mixed models of recreational catch data. Environ Ecol Stat 20, 591–608 (2013). https://doi.org/10.1007/s10651-013-0236-5
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DOI: https://doi.org/10.1007/s10651-013-0236-5