Fisheries Oceanography最新文献

Vertical egg distributions are needed knowledge for understanding exposure to physical forcing, predation pressure, and modelling initial transport from the spawning areas. Egg density and size are the biotic factors determining vertical distributions while the ambient salinity and turbulent mixing are the physical factors contributing to their vertical distributions. Egg buoyancies and densities of Atlantic cod (Gadus morhua) have been extensively studied, while limited information on haddock (Melanogrammus aeglefinus) egg density is available. This is the first comprehensive study on haddock egg densities in Norwegian waters. Eggs were collected from pairs of spawning fish caught at the coast of western Norway and inserted into a density gradient column where density was measured. The haddock eggs were neutrally buoyant at salinities ranging from 28.5 to 31. The density changed during egg development, and the results from the measurements were used to model the vertical distribution of the eggs. The simulations showed that the changes in buoyancy substantially affected vertical distributions. A comparison to previously published data on cod eggs showed that haddock eggs are considerably more buoyant than the cod eggs and are—particularly during calm wind conditions—confined to the surface layer to a larger extent than the cod eggs. The more buoyant attribute of the haddock eggs, together with the lipophilic surface of the egg membrane, is suggested to make haddock eggs more vulnerable to buoyant pollutants, like hydrocarbons.

Vertical migration and dispersal processes during the marine crab larval stage markedly affect transport, habitat selection, population connectivity, and resource replenishment success rates. However, not much is known of the reproductive ecology of swimming crabs in the nearshore waters of the northwest Pacific shelf. Here, we investigated the diel vertical migration (DVM) characteristics and transport patterns of the swimming crab zoea (Portunus trituberculatus) in this area. A Lagrangian particle-tracking algorithm coupled with a hydrodynamic model, incorporating a DVM pattern of zoeae based on observations from a field survey of the diurnal distribution of swimming crab zoea, was used to simulate the transport of zoeae, and the impact of zoeal transport on population connectivity was explored. The results revealed that particles were predominantly transported in a nearshore direction from the particle release point, with short dispersal distances during the zoeal stages. In nearshore waters on the continental shelf, the swimming crab zoeae are exposed to shoreward-moving currents with the aid of prolonged daytime locations in the lower water column, whereas larvae migrate upward to the middle and upper layers of the water column at night rather than the most superficial layer, potentially avoiding surface offshore-moving currents that may be responsible for the retention and shoreward transport of larvae. Most zoeae are transported to shallow waters, and the contribution of transport to population connectivity during the zoeal stages is relatively limited. The findings here have considerable implications for understanding the mechanisms governing the early recruitment dynamics of this species, as well as for fisheries management and conservation of marine biodiversity.

Understanding how ecosystem change influences fishery resources through trophic pathways is a key tenet of ecosystem-based fishery management. System models (SM), which use numerical modeling to describe physical and biological processes, can advance inclusion of ecosystem and prey information in fisheries management; however, incorporating SMs in management requires evaluation against empirical data. The Bering Ecosystem Study Nutrient-Phytoplankton-Zooplankton (BESTNPZ) model is an SM (originally created by the Bering Ecosystem Study, which initiated in 2006 and was expanded by Kearney et al.) includes zooplankton biomass hindcasts for the Bering Sea. In the Bering Sea, zooplankton are an important prey item for fishery species, yet the zooplankton component of this SM has not been validated against empirical data. We compared empirical zooplankton data to BESTNPZ hindcast estimates for three zooplankton functional groups and found that the two sources of information are on different absolute scales. We found high correlation between relative seasonal biomass trends estimated by BESTNPZ and empirical data for large off-shelf copepods (Neocalanus spp.) and low correlations for large on-shelf copepods and small copepods (Calanus spp. and Pseudocalanus spp., respectively). To address these discrepancies, we constructed hybrid species distribution models (H-SDM), which predict zooplankton biomass using the BESTNPZ hindcast and environmental covariates. We found that H-SDMs offered marginal improvements over correlative species distribution models (C-SDMs) relying solely on empirical data for spatial extrapolation and little improvement for most functional groups when forecasting short-term temporal zooplankton biomass trends. Overall, we suggest that interpretation of current BESTNPZ hindcasts should be tempered by our understanding of key mismatches in absolute scale, seasonality, and annual indices between BESTNPZ and empirical data.

For small pelagic fish, the physical and feeding environments during the larval and juvenile periods significantly affect recruitment to standing stock. To understand the variation in environmental conditions experienced by larvae and juveniles, this study determined the distribution of larval and juvenile Pacific saury Cololabis saira over a distance of more than 6900 km in an east–west direction in relation to the ocean environment in winter. Specimens were collected from the western and central parts of the North Pacific Ocean, mainly in January and February 2018 and 2020. Larvae (≤39.9 mm) were broadly distributed around the Kuroshio Current and the Kuroshio Extension Current. Larval densities in the water masses around the Kuroshio Extension Current were as high as, or even significantly higher than, those around the Kuroshio Current, which is considered the main spawning ground. Most juveniles (≥40.0 mm) were captured north of the Kuroshio Extension Current, where sea surface temperatures were lower and chlorophyll a concentrations were higher. The generalized additive model analysis also suggested that, compared to larvae, juveniles tended to be distributed in areas with lower sea surface temperatures and in more eastern areas. The extensive distribution of Pacific saury larvae and juveniles indicates that it is necessary to focus not only on the marine environment around the Kuroshio region but also on the Kuroshio Extension region to understand the recruitment variability of this species.

After ocean entry, juvenile Japanese chum salmon migrate northeastward to the Sea of Okhotsk. However, some juveniles originating in rivers along the Pacific coast of Hokkaido were reported to migrate in the opposite direction (westward). We compiled historical data to determine which river-origin juveniles migrate westward and to what extent. Then, the ocean-entry conditions and growth rates of 398 juveniles from two rivers along the Pacific coast of Hokkaido were estimated with otolith daily-increment analysis. Many juveniles migrated >100 km westward from multiple natal river mouths. Juveniles collected to the west of their natal rivers tended to enter the ocean earlier than those collected to the east, and many did so before sea surface temperatures reached 5°C (the lower limit of the empirically favorable temperature range). In the west, many small juveniles were collected soon after ocean entry, suggesting that they migrated passively with the Coastal Oyashio, a westward cold current. By contrast, juveniles collected in the east tended to grow faster in length and have a lower body condition factor at capture, possibly due to growth-dependent mortality during their migration against the flow of the Coastal Oyashio. Moreover, many juveniles in the west were exposed to temperatures near 13°C (the upper limit of favorable temperatures) at capture. In recent years, there has been a shortening of the favorable water-temperature period and a drastic decline in adult chum returns in the region. There is hence concern that the likelihood of abortive migrations for juveniles transported westward will increase.

Continental shelves experience many human pressures with demersal fisheries central to disturbing the ocean floor. However, ecological processes such as predation rates of benthos and their relationship with bottom fishing are often unknown for large marine ecosystems. We examined the amount of benthos consumed by 14 benthivorous fishes, the overlap between benthos predation and bottom fishing (dredge and trawl gear), and temporal trends in benthivorous fish abundance and the number of fishing trips on the northeast US continental shelf. Mean annual predation (biomass of prey removed) and 95% confidence intervals ranged from .0002 (.0001–.0003) to 3967 (1761–7112) t per 10-min area squared grid cell and prey taxa for these benthivorous fishes. Predation and bottom fishing had overlapping footprints of activity, which were slightly stronger for dredge gear. Trophic success (ratio of prey biomass eaten to the biomass of the benthivore community per grid cell) revealed more Bivalvia, Gammaridea, and Polychaeta eaten in areas targeted by trawling with more fish biomass. In contrast, dredging did not target fish biomass, but these areas had increased (Echinoidea, Gammaridea, and other benthos) or decreased (Ophiuroidea) trophic success relative to dredging footprint, suggesting habitat preferences for benthic prey and demersal fisheries have converged rather than diverged. Despite declines in bottom fishing, recent increases in benthivorous fish abundance and growing interest in ocean floor use suggest that fisheries managers should ensure benthivores have sufficient prey resources relative to their community size and human pressures to promote long-term sustainability of demersal fisheries and healthy ecosystems.

Time-series modeling of fisheries provides insights into stock tendencies and enables short-term forecasting of landings, aiding decision makers in establishing management priorities. The Rio de la Plata Estuary and its maritime front sustain valuable fisheries for Argentina and Uruguay, with striped weakfish (Cynoscion guatucupa), whitemouth croaker (Micropogonias furnieri), and Argentine hake (Merluccius hubbsi) historically representing highest catches. However, their landings have declined in recent decades. To support resource management, we investigated the effectiveness of Autoregressive Integrated Moving Average (ARIMA) models in capturing fishery landing dynamics and providing reliable short-term predictions. The best models exhibited a good fit and accurately captured the overall trends of landings. Residual variability unaccounted for by the model was analyzed in relation to time-lagged environmental conditions. A wavelet coherence analysis was employed to examine the effect of the most significant variables on landings. Results revealed that environmental conditions affect differentially landings of each species as a result of their particular ecological traits. Turbidity and salinity affected mainly M. furnieri, which inhabits the innermost part of the estuary. Additionally, C. guatucupa, inhabiting the outer estuary and coastal region, exhibited a stronger association with river runoff compared to M. hubbsi, which inhabits the continental shelf. This study provides the first evidence of ARIMA models' reliability in representing the temporal evolution of catch in these fisheries, offering valuable tools for short-term landings forecasting and facilitating sustainable management. Wavelet analysis findings will also contribute to enhancing our comprehension of trends in the correlation between environmental conditions and commercial landings.

Environmentally explicit models can improve model performance and our understanding of biological processes. However, these models must be retested over time, as the mechanisms influencing biological processes can change. The relationship between recently settled young-of-year (i.e., settlers) and pre-recruit American lobsters was revisited to determine if our perception on post-settlement lobster processes has changed. Analyses were focused within the southern region of the species' latitudinal range (Rhode Island, United States), where several environmental factors have been theorized to contribute to the Southern New England stock decline and continued depleted state. The inclusion of additional, recent years' data provided insight on how the density-dependent nature of the settler–pre-recruit lobster relationship has varied over time. Including both new and retested environmental drivers reaffirmed the importance of incorporating environmental data when describing this process. Specifically, modeling revealed the importance of epizootic shell disease, finfish predators, and Asian shore crabs in the settler–pre-recruit relationship. Including disease, predation, and competition metrics in the lobster post-settlement relationship has allowed for improved modeling and insight into settlement dynamics. This renewed analysis supports reevaluating environmentally explicit models over time and calls for further directed research regarding the biological processes we seek to model with time series data.

The introduction of thousands of wind turbines along the North American Atlantic continental shelf over the next decade will constitute the largest regional change in marine substrates since the retreat of the Laurentide Ice Sheet over 14,000 years ago. Here, two large data sets, SMAST drop camera survey (242,949 samples, 2003 to 2019) and the US Geological Survey databases (27,784 samples, 1966 to 2011), are combined to derive sea floor surficial substrate probability maps for the Northeastern US continental shelf from Virginia Beach to the Gulf of Maine to 300 m depth (218,571 km²). Geostatistical models were used to estimate the probability of five geologic and one biogenic substrate types being present at a 250 m resolution, and the proportional contribution of each substrate type to the seabed composition at a 500 m resolution. By providing the first synoptic maps depicting the probability of a particular substrate or combination of substrates occurring at any location on the Northeastern US continental shelf, including planned wind energy sites, we aim to (1) provide insights regarding how substrates in the areas selected for wind energy development compare with other locations, (2) motivate the development of a priori expectations for ecosystem changes to inform monitoring and research efforts going forward, and (3) to provide a baseline characterization of the Northeastern US continental shelf surficial substrates to support robust examination of the future changes observed in areas impacted by wind energy installations.

The Northeast Arctic stock of haddock (Melanogrammus aeglefinus) is the most northerly stock of the species. It is one of the largest haddock stocks but not the most studied. Similar to the more extensively studied sympatric cod (Gadus morhua) and herring (Clupea harengus) stocks, it relies on Atlantic currents for egg and larvae transportation from spawning grounds to nursery areas in the Barents Sea. The exact locations of the spawning grounds have not been known and the maps that have been published differ substantially. Here, we present results from the first survey dedicated to exploring the spawning habitat of Northeast Arctic (NEA) haddock, and a particle drift and larvae growth model with physical forcing from a high-resolution ocean model. Gadoid eggs, later identified as haddock by DNA analyses, as well as spawning individuals were sampled at the survey. Spawning haddock was found in Atlantic water in temperatures 3.6–6.2°C and depths of 240–560 m. Sampled eggs were mostly in early development stages, suggesting that they were largely spawned in the surveyed area. Using the drift model, we found that most of the modelled particles released as eggs at our surveyed area ended up in the nursery area in the Barents Sea. A crude estimate of the spawning stock biomass based on the survey suggests that the most updated spawning ground map of NEA haddock might be too restricted in its extent. Particle drift and growth with physical forcing for the years 2012–2022 indicated small interannual variation in aberrant drift, and that growth driven by ambient temperature could be important in explaining interannual variation in haddock recruitment.