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4 results for “crab fishery”
Data from: Spatial variability in size at maturity of golden king crab (Lithodes aequispinus) and implications for fisheries management
Many crab fisheries around the world are managed by size, sex and season, where males are given at least one opportunity to reproduce before being harvested. Golden king crab (Lithodes aequispinus) supports a commercial fishery in Southeast Alaska and legal size is based on growth and maturity information from other parts of their range. Size at maturity estimates varied for crabs among seven management areas in Southeast Alaska, where male maturity estimates increased in size with increases in latitude while maturity estimates across their North Pacific range decreased in size with increases in latitude. Depth, temperature, and harvest history were not related to variation observed in male maturity estimates. Management implications from this research include reducing legal size in some areas to maximize harvest potential and increasing in others to allow male crab the opportunity to reproduce before being harvested. A more conservative strategy would incorporate the largest maturity estimate thus, increasing the legal size which would have a negative impact to the commercial fishery, but allow male crab the opportunity to reproduce before being harvested. This study shows the importance of understanding how life history characteristics change over space and the challenge incorporating spatial variability for improved fisheries management.
Data from: Big fishery, big data, and little crabs: using genomic methods to examine the seasonal recruitment patterns of early life stage Dungeness crab (Cancer magister) in the California current ecosystem
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Data from: Spatial variability in size at maturity of golden king crab (Lithodes aequispinus) and implications for fisheries management
Open the record for dataset details and reuse information.
Seasonal ocean forecasts to improve predictions of Dungeness crab catch rates, co-developed with state and tribal fishery managers
<p>Historical (hindcast) and September initialized forecast fields from the J-SCOPE system (more information here: https://www.nanoos.org/products/j-scope/). The historical fields are annual averages while the forecasts are averaged monthly. The fields here were used to generate the CPUE models described in Norton et al. (2023). </p> <p>Abstract from the paper: The commercial Dungeness crab (Metacarcinus magister) fishery in Oregon and Washington (USA) is one of the most valuable fisheries in the region, but it experiences high interannual variability. These fluctuations have been attributed to environmental drivers on seasonal and annual timescales. In this study, researchers and state and tribal fisheries managers develop a statistical model for Dungeness crab catch per unit effort (CPUE) to help inform dynamic management decisions in Oregon and Washington. Fishing observations were matched to seasonally forecast and lagged ocean conditions from J-SCOPE, a regional forecast system (http://www.nanoos.org/products/j-scope/). Inclusion of dynamic and lagged ocean conditions improved model skill compared to simpler models, and the best model captured intraseasonal trends and interannual variability in catch rates, and spatial catch patterns. We also found that model skill relied on fishing behaviour, which varies interannually, highlighting the need for advanced fishing behaviour modelling to reduce uncertainty. The relationships between catch rates and ocean conditions may help elucidate environmental influences of catch variability. Forecast products were co-designed with managers to meet their needs for key decision points. Our results illustrate a seasonal forecasting approach for management of other highly productive, but also dynamic, invertebrates that increasingly contribute to global fisheries yield.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.