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- Title
Accounting for spatiotemporal variation and fisher targeting when estimating abundance from multispecies fishery data.
- Authors
Thorson, James T.; Fonner, Robert; Haltuch, Melissa A.; Ono, Kotaro; Winker, Henning
- Abstract
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.
- Subjects
FISH tagging; FISHES; FISHING catch effort; FISHERIES; FISH populations
- Publication
Canadian Journal of Fisheries & Aquatic Sciences, 2017, Vol 74, Issue 11, p1794
- ISSN
0706-652X
- Publication type
Article
- DOI
10.1139/cjfas-2015-0598