Strategic assessment of fisheries independent monitoring programs in the Gulf of Mexico

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Abstract

See, stats, and : http : / / www . researchgate . net / publication / 277648398 Strategic Monitoring ARTICLE Impact : 3 . 23 : 10 . 1371 / journal . pone . 0120929 4 , INCLUDING : Paul Mote 3 SEE Michael University 4 SEE Cameron . Ainsworth University 49 SEE Available : Cameron . Ainsworth Retrieved : 31 Abstract This study evaluates information produced from 14 fisheries independent monitoring pro - grams (FIM) in the Gulf of Mexico . We consider the uniqueness of information from each program and its usefulness in estimating fisheries management indices . Biomass values of 35 functional groups are extracted from an operating model (Ecospace) with a method that replicates the patterns of historic FIM samplings . Observation error is added to these data in order to create a set of pseudo data that replicate the type and quality of information ob - tained from FIM programs . The pseudo data were put into a separate fishery assessment model (Pella - Tomlinson) to determine management indices of each functional group (maximum sustainable yield (MSY) , biomass at MSY , and fishing mortality at MSY) . These indices are compared against values in Ecospace , and against previously published single - species stock assessments . We also evaluate the full suite of information derived from FIM within an ecosystem context , considering whether functional roles are over - or under - sampled , and whether sampling effort is proportional to the value of fish stocks . Results re - veal that model derived fishery indices closely matched published indices for the majority of the functional groups , economic and ecological evaluation suggests that several piscivo - rous functional groups are under - sampled include forage base species that are likely to indi - rectly support fisheries for piscivores , and sampling efforts are not proportional to the value of some fish stocks . Following ecological modelling we performed statistical analyses on historic FIM catch data to identify optimal species - specific sampling months and gear - types that can be used to refine future FIM sampling efforts .

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Suprenand, P. M., Drexler, M., Jones, D. L., & Ainsworth, C. H. (2015). Strategic assessment of fisheries independent monitoring programs in the Gulf of Mexico. PLoS ONE, 10(4). https://doi.org/10.1371/journal.pone.0120929

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