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Validating matches of electronically reported fishing trips to investigate matching error
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2023
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Source: Transactions of the American Fisheries Society, 152(1), 114-126
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Journal Title:Transactions of the American Fisheries Society
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Description:Recently, researchers have developed methods for combining probability samples and non-probability samples. In recreational fisheries management, data from probability samples are typically counts of catch from a random sample of trips intercepted by a sampler, while non-probability samples consist of catch data that are collected in self-reports made to a fishery management agency. These reports are typically transmitted electronically and are known as an electronic logbook (ELB). Even when such reporting is mandated, compliance is not universal. Since the inclusion probability for any particular angler is unknown, the ELB sample is a non-probability sample. We used data from a 2017 Gulf of Mexico (GoM) pilot study in which charter captains volunteered to electronically report their catch. At the dock, they could also be intercepted by a sampler, at which time their catch was observed. Estimates of total catch can be generated if trips from the two data sets can be accurately matched. Several states in the GoM implement similar ELB reporting augmented with a probability sample. However, there is an apparent discrepancy between National Oceanic and Atmospheric Administration (NOAA) estimates of the total and the ELB estimates for the same geographies. We seek to investigate the extent to which matching errors contribute to the discrepancies.
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Source:Transactions of the American Fisheries Society, 152(1), 114-126
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ISSN:0002-8487;1548-8659;
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Rights Information:Accepted Manuscript
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Compliance:Library
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