North Pacific salmon abundance, 1925-2015

• Main Authors: Ruggerone, Greg, Irvine, Jim
• Format: Dataset
• Language: English
• Published: KNB Data Repository 2018
• Subjects: Myers; Pacific; Sockeye; Pink salmon
• Online Access: https://dx.doi.org/10.5063/f1cn7254; https://knb.ecoinformatics.org/view/doi:10.5063/F1CN7254

Abundance estimates of wild and hatchery Pacific salmon Oncorhynchus spp. are important for evaluation of stock status and density-dependent interactions at sea. This data package includes total abundances of pink, chum, and sockeye salmon, reconstructed from catch and spawning abundance data for both Asia and North America. These data are in two main categories of salmon abundance estimates: (1) return (catch plus escapement) estimates of natural-origin and enhanced-origin salmon (numerical and biomass) by species and region, and (2) Total biomass estimates of mature and younger salmon by species and region (natural-origin and hatchery-origin combined). Most of the tables cover the period from 1952-2015. Longterm tables begin at 1925. The .csv files are plain text versions of the tables found in the original excel file. The excel file also contains additional information on how the datasets can be used. These data are described further in: Ruggerone, G.T., Peterman, R.M., Dorner, B., Myers, K.W. (2010). Magnitude and trends in abundance of hatchery and wild pink salmon, chum salmon, and sockeye salmon in the North Pacific Ocean. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 2:306–328 (available at http://www.bioone.org/doi/full/10.1577/C09-054.1). They are also included as Supporting Information in Ruggerone, G.T. & Irvine, J.R. (2018). Numbers and Biomass of Natural- and Hatchery-Origin Pink Salmon, Chum Salmon, and Sockeye Salmon in the North Pacific Ocean, 1925–2015. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 10:152–168 (available at https://onlinelibrary.wiley.com/doi/full/10.1002/mcf2.10023). The dataset here is the same version as in the SI of Ruggerone & Irvine 2018, in the form of extracted .csv's.