Journal
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
Volume -, Issue -, Pages -Publisher
CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cjfas-2022-0024
Keywords
echinoderms; fishery management; Bayesian statistics; models; commercial fisheries
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The giant red sea cucumber fishery in BC, Canada is considered sustainable by managers but not by many harvesters. Experimental fishing areas were established in 1997 to test different exploitation rates and determine sustainable harvest levels. Updated models suggest that the fishery is likely to persist for 175 years at the current harvest rate, though long-term projections may be inaccurate. Crash rate analysis is used to generate scientific advice for determining a maximum sustainable exploitation rate.
The giant red sea cucumber (Apostichopus californicus) fishery in BC, Canada, is considered sustainable by managers but not by many harvesters. In 1997, the Kitasoo/Xai'xais First Nation began experimental fishing areas (EFAs) at Tolmie Channel and Laredo Inlet to test the effects of different exploitation rates on sea cucumber populations and determine what harvest levels are sustainable. These EFAs were annually surveyed by dive transects and subsequently harvested from 1998 to 2018. Bayesian surplus production models developed in 2011 indicated that the fishery was sustainable, after which the fishery changed from annual to 3-year rotational harvests. Here, we develop updated models to estimate the sustainability of the fishery using all currently available EFA data, including direct estimates of unfished biomass. Our models suggest that the fishery is likely to persist for 175 years at the current harvest rate annually or rotationally, though such long-term projections are likely inaccurate. We present methodology to generate scientific advice for the process of determining a maximum sustainable exploitation rate in the form of crash rate analysis.
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