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Bycatch, or the unintended capture of fish, marine mammals, sea turtles, and seabirds by fishing gear, occurs to some degree in most fisheries. The recently released National Marine Fisheries Service’s (NMFS) U.S. National Bycatch Report provides information on bycatch in U.S. commercial fisheries by fishery and species. The report also provides national statistics in the form of national bycatch ratio and a national bycatch estimate. We describe the methods used to develop these statistics and compare them to similar studies. We conclude that the national bycatch ratio and national bycatch estimates developed by NMFS represent the best available information on bycatch in U.S. fisheries. However, given changes in bycatch management over time, as well as inter-annual variability in bycatch levels and a high percentage of fisheries for which data on bycatch are not currently available, we recommend that NMFS continue to support bycatch data collection and reporting efforts to improve the quality and quantity of bycatch data and estimates available to fisheries managers and scientists over time. This will enable NMFS to meet its requirements for bycatch reporting under the Magnuson-Stevens Act (MSA), as well as requirements for bycatch minimization under the MSA, Marine Mammal Protection Act, and Endangered Species Act.

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The Biscayne Bay bait (1986–2005) and food (1989–2005) fisheries for pink shrimp were examined using dealer-reported individual vessel-trip landings data, separated by waterbody code to represent only catches from Biscayne Bay. Annual landings varied little during the 1980’s and early 1990’s, and landings of the bait shrimp fishery exceeded those of the food shrimp fishery. The number of trips and landings in both fisheries increased from the late 1990’s through 2002 and food shrimp landings exceeded landings of bait shrimp; landings in both fisheries decreased sharply in 2003. Landings in both fisheries increased in 2004 and 2005, but the increase in food shrimp landings was stronger. Annual catch per trip was much lower in the bait fishery than the food fishery. Each fishery exploited shrimp of a different size. The bait fishery targeted shrimp less than 19 mm carapace length (CL), whereas the food fishery caught shrimp greater than 19 mm CL. We compared monthly bait shrimp catch per unit of effort (CPUE) from the fishery to an estimate of shrimp density from a fishery-independent sampling effort over a 3-yr period and found a strong statistical relationship with the density estimate lagged by 3 mo. The relationship supported the use of bait shrimp fishery CPUE as an index of abundance in upcoming assessments of the effect of a massive water-management-based ecosystem restoration project on pink shrimp in Biscayne Bay. Project implementation will affect freshwater inflows to the bay and salinity patterns. An abundance index with a lengthy pre-implementation history that can be carried into the operational phase of the restoration project will be invaluable in assessing project effects and protecting an important fishery resource of Biscayne Bay. The bait shrimp fishery can provide a continuing index of shrimp abundance from late 1986 forward.

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Gulf of Mexico, white shrimp, Litopenaeus setiferus, catch statistics have been collected by NOAA’s National Marine Fisheries Service for over 50 years. Recent occurrences such as natural and manmade disasters have raised awareness for the need to publish these types of data. Here we report shrimp data collected from 1984 to 2011. These 28 years of catch history are the time series used in the most recent Gulf of Mexico white shrimp stock assessment. Fishing effort for this stock has fluctuated over the period reported, ranging from 54,675 to 162,952 days fished. Catch averaged 55.7 million pounds per year, increasing significantly over the times series. In addition, catch rates have been increasing in recent years, with CPUE levels ranging from 315 lb/day fished in 2002, to 1,175 lb/ day fished in 2008. The high CPUE’s we have measured is one indication that the stock was not in decline during this time period. Consequently, we believe the decline in effort levels is due purely to economic factors. Current stock assessments are now using these baseline data to provide managers with further insights into the Gulf L. setiferus stocks.

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Biomass indices, from commercial catch per unit of effort (CPUE) or random trawl surveys, are commonly used in fisheries stock assessments. Uncertainty in such indices, often ex-pressed as a coefficient of variation (CV), has two components: observation error, and annual variation in catchability. Only the former can be estimated directly. As a result, the CVs used for these indices either ignore the annual-variation component or assume a value for it (often implicitly). Two types of data for New Zealand stocks were examined: 48 sets of residuals and catchability estimates from stock assessments using either CPUE or trawl survey indices; and biomass estimates from 17 time series of trawl surveys with between 4 and 25 species per time series. These data show clear evidence of significant annual variation in catchability. With the trawl survey data, catchability was detectably extreme for many species in about one year in six. The assessment data suggest that this annual variability typically has a CV of about 0.2. For commercial CPUE the variability is slightly less, and a typical total CV (including both components) of 0.15 to 0.2. This is much less than the values of 0.3 to 0.35 that have commonly been assumed in New Zealand. Some estimates of catchability are shown to be implausible.

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Culture of a non-native species, such as the Suminoe oyster (Crassostrea ariakensis), could offset the harvest of the declining native eastern oyster (Crassostrea virginica) fishery in Chesapeake Bay. Because of possible ecological impacts from introducing a fertile non-native species, introduction of sterile triploid oysters has been proposed. However, recent data show that a small percentage of triploid individuals progressively revert toward diploidy, introducing the possibility that Suminoe oysters might establish self-sustaining populations. To assess the risk of Suminoe oyster populations becoming established in Chesapeake Bay, a demographic population model was developed. Parameters modeled were salinity, stocking density, reversion rate, reproductive potential, natural and harvest-induced mortality, growth rates, and effects of various management strategies, including harvest strategies. The probability of a Suminoe oyster population becoming self-sustaining decreased in the model when oysters are grown at low salinity sites, certainty of harvest is high, mini-mum shell length-at-harvest is small, and stocking density is low. From the results of the model, we suggest adopting the proposed management strategies shown by the model to decrease the probability of a Suminoe oyster population becoming self-sustaining. Policy makers and fishery managers can use the model to predict potential outcomes of policy decisions, supporting the ability to make science-based policy decisions about the proposed introduction of triploid Suminoe oysters into the Chesapeake Bay.