five

Data for R0303

收藏
DataCite Commons2025-09-22 更新2026-01-12 收录
下载链接:
https://search.dataone.org/view/10.24431/ax1k9m8lnt
下载链接
链接失效反馈
官方服务:
资源简介:
We investigate the stock composition and seasonal distribution Asian and North American sockeye and chum salmon collected in the Bering Sea during 2002-2004 using genetic markers. For chum salmon, using allozymes and mtDNA, Japanese investigators identified that Asian and North American stocks were not randomly distributed. Japanese stocks were distributed in the central Bering Sea, the distribution of Russian stocks was similar but also spread into the North Pacific Ocean, and northwestern Alaska stocks including fall chum salmon from the Yukon River were distributed mainly in eastern North Pacific Ocean. Using supplemental information, Japanese investigators hypothesize a complete migration model for their hatchery stocks, through the Sea of Okhotsk, seasonally through the Bering Sea and northwestern Gulf of Alaska, back to Japan. For sockeye salmon, using single nucleotide polymorphisms, US investigators identified a broader distribution of North American stocks than suggested by historical tagging studies. Bristol Bay stocks were the most widely-distributed, accounting for more than half the mixtures in all areas except the southwestern Bering Sea. Russian stocks were primarily detected in the western Bering Sea, and differences were detected in the distributions between the eastern- and the western-Kamchatka Peninsula populations. Stocks from the Gulf of Alaska were also widely distributed throughout much of the Bering Sea, although at low proportions relative to the Pacific Ocean-wide production estimates. Data from this project provide the foundation for continuing studies by NPAFC scientists, Pacific Salmon Commission studies by NOAA and ADFG, and are being used by ADFG to improve harvest management in Southeast Alaska, Cook Inlet, and Bristol Bay. These datasets were archived as part of the North Pacific Research Board legacy project recovery effort undertaken by Axiom Data Science and NPRB in 2025. The goal of the recovery effort was to assess the NPRB-funded data projects from 2002 to 2014 and archive final data packages that were ready for publication to increase long-term accessibility and discoverability. Data packages were archived as is given limited funding and resources.
提供机构:
Axiom Data Science
创建时间:
2025-09-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作