scholarly journals Integrating Multiple Intrinsic Markers to Infer Habitat Use of Sockeye Salmon Stocks (Oncorhynchus nerka) in the North Pacific Ocean

2019 ◽  
pp. 187-190
Author(s):  
Wade Smith ◽  
Boris Espinasse ◽  
Evgeny Pakhomov
Keyword(s):  
Pacific Ocean ◽  
Habitat Use ◽  
North Pacific ◽  
Sockeye Salmon ◽  
North Pacific Ocean ◽  
Oncorhynchus Nerka ◽  
The North ◽  
The North Pacific

scholarly journals Magnitude and Trends in Abundance of Hatchery and Wild Pink Salmon, Chum Salmon, and Sockeye Salmon in the North Pacific Ocean

2010 ◽  
Vol 2 (1) ◽  
pp. 306-328 ◽  
Author(s):  
Gregory T. Ruggerone ◽  
Randall M. Peterman ◽  
Brigitte Dorner ◽  
Katherine W. Myers
Keyword(s):  
Pacific Ocean ◽  
North Pacific ◽  
Sockeye Salmon ◽  
Chum Salmon ◽  
North Pacific Ocean ◽  
Pink Salmon ◽  
The North ◽  
The North Pacific

Age-specific effects of sockeye abundance on adult body size of selected British Columbia sockeye stocks

1995 ◽  
Vol 52 (5) ◽  
pp. 1050-1063 ◽  
Author(s):  
Skip McKinnell
Keyword(s):  
British Columbia ◽  
Pacific Ocean ◽  
North Pacific ◽  
Sockeye Salmon ◽  
North Pacific Ocean ◽  
Common Factor ◽  
Bristol Bay ◽  
The North ◽  
Skeena River ◽  
The North Pacific

Annual mean body lengths of adult sockeye salmon (Oncorhynchus nerka) covary systematically from year to year in major northern and central British Columbia stocks (Nass River, Skeena River, and Rivers Inlet). These positive correlations are greatest between sexes within rivers, followed by age-classes among rivers. A common factor or factors affecting sockeye length in the North Pacific Ocean is suggested. The mean length of age 1.3 sockeye salmon but not age 1.2 sockeye caught annually in these B.C. fisheries was negatively correlated with the magnitude of Bristol Bay (western Alaska) sockeye catches. During the spring of maturation, age 1.3 sockeye from these B.C. stocks were further from their natal streams, and likely subject to more intense competition with Bristol Bay sockeye than age 1.2 sockeye. The pattern of annual marine growth measured from Skeena River sockeye scales collected during the 1960s provides additional evidence that the length of age 1.3 sockeye was related to Bristol Bay sockeye abundance in the year of maturation. No such correlation was evident in scales collected from age 1.2 sockeye. These results suggest that sockeye populations have more systematic distributions in the North Pacific Ocean than has been previously reported.

scholarly journals Neural Network Approach to Retrieving Ocean Subsurface Temperatures from Surface Parameters Observed by Satellites

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 388
Author(s):  
Hao Cheng ◽  
Liang Sun ◽  
Jiagen Li
Keyword(s):  
Neural Network ◽  
Pacific Ocean ◽  
North Pacific ◽  
North Pacific Ocean ◽  
Sea Surface ◽  
Satellite Measurements ◽  
Surface Parameters ◽  
The North ◽  
The North Pacific ◽  
Bpnn Model

The extraction of physical information about the subsurface ocean from surface information obtained from satellite measurements is both important and challenging. We introduce a back-propagation neural network (BPNN) method to determine the subsurface temperature of the North Pacific Ocean by selecting the optimum input combination of sea surface parameters obtained from satellite measurements. In addition to sea surface height (SSH), sea surface temperature (SST), sea surface salinity (SSS) and sea surface wind (SSW), we also included the sea surface velocity (SSV) as a new component in our study. This allowed us to partially resolve the non-linear subsurface dynamics associated with advection, which improved the estimated results, especially in regions with strong currents. The accuracy of the estimated results was verified with reprocessed observational datasets. Our results show that the BPNN model can accurately estimate the subsurface (upper 1000 m) temperature of the North Pacific Ocean. The corresponding mean square errors were 0.868 and 0.802 using four (SSH, SST, SSS and SSW) and five (SSH, SST, SSS, SSW and SSV) input parameters and the average coefficients of determination were 0.952 and 0.967, respectively. The input of the SSV in addition to the SSH, SST, SSS and SSW therefore has a positive impact on the BPNN model and helps to improve the accuracy of the estimation. This study provides important technical support for retrieving thermal information about the ocean interior from surface satellite remote sensing observations, which will help to expand the scope of satellite measurements of the ocean.

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