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Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data
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2017
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Source: Canadian Journal of Fisheries and Aquatic Sciences, 74(11), 1794-1807
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Journal Title:Canadian Journal of Fisheries and Aquatic Sciences
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Description:Estimating trends in abundance from fishery catch rates is one of the oldest endeavors in fisheries science. However, many jurisdictions do not analyze fishery catch rates due to concerns that these data confound changes in fishing behavior (adjustments in fishing location or gear operation) with trends in abundance. In response, we developed a spatial dynamic factor analysis (SDFA) model that decomposes covariation in multispecies catch rates into components representing spatial variation and fishing behavior. SDFA estimates spatiotemporal variation in fish density for multiple species and accounts for fisher behavior at large spatial scales (i.e., choice of fishing location) while controlling for fisher behavior at fine spatial scales (e.g., daily timing of fishing activity). We first use a multispecies simulation experiment to show that SDFA decreases bias in abundance indices relative to ignoring spatial adjustments and fishing tactics. We then present results for a case study involving petrale sole (Eopsetta jordani) in the California Current, for which SDFA estimates initially stable and then increasing abundance for the period 1986–2003, in accordance with fishery-independent survey and stock assessment estimates.
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Source:Canadian Journal of Fisheries and Aquatic Sciences, 74(11), 1794-1807
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ISSN:0706-652X;1205-7533;
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Rights Information:CC0 Public Domain
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Rights Statement:This work is free of all copyright and may be freely built upon, enhanced, and reused for any lawful purpose without restriction under copyright or database law. The work is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication (CC0 1.0).
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