The Japanese Salmon Fisheries: A Geographic Appraisal

1958 ◽  
Vol 34 (4) ◽  
pp. 352 ◽  
Author(s):  
R. S. Mathieson
Keyword(s):  
Author(s):  
E. Ray Lankester

The Journal of our Association cannot be allowed to appear without a few words in memory of our first President, the great naturalist and leader of Science, whom we all mourn.Huxley's studies in marine biology, and his position as a Government official, as well as his keen, practical common-sense, made his selection as a member of two Government Commissions on Fisheries (in 1863 and again in 1883) very appropriate. He did valuable work on those Commissions, and in 1881 was appointed, by Sir William Harcourt, to be Inspector of Salmon Fisheries. In 1883 he took an active part in the work of the International Fisheries Exhibition, and emphasized in an address given there, the fact that, whilst civilized man had brought all the resources of science to bear on the “harvest of the land,” little or nothing had been done in the same spirit for the “harvest of the sea.”


Marine Policy ◽  
2019 ◽  
Vol 100 ◽  
pp. 207-214 ◽  
Author(s):  
Maija Holma ◽  
Marko Lindroos ◽  
Atso Romakkaniemi ◽  
Soile Oinonen

2007 ◽  
Vol 87 (2-3) ◽  
pp. 240-254 ◽  
Author(s):  
Dmitry L. Lajus ◽  
Zoya V. Dmitrieva ◽  
Alexei V. Kraikovski ◽  
Julia A. Lajus ◽  
Daniel A. Alexandrov

Marine Policy ◽  
2011 ◽  
Vol 35 (5) ◽  
pp. 658-666 ◽  
Author(s):  
Gunnar Knapp
Keyword(s):  

2019 ◽  
Vol 77 (4) ◽  
pp. 1503-1515 ◽  
Author(s):  
William H Satterthwaite ◽  
Kelly S Andrews ◽  
Brian J Burke ◽  
Jennifer L Gosselin ◽  
Correigh M Greene ◽  
...  

Abstract Preseason abundance forecasts drive management of US West Coast salmon fisheries, yet little is known about how environmental variability influences forecast performance. We compared forecasts of Chinook salmon (Oncorhynchus tshawytscha) against returns for (i) key California-Oregon ocean fishery stocks and (ii) high priority prey stocks for endangered Southern Resident Killer Whales (Orcinus orca) in Puget Sound, Washington. We explored how well environmental indices (at multiple locations and time lags) explained performance of forecasts based on different methods (i.e. sibling-based, production-based, environment-based, or recent averages), testing for nonlinear threshold dynamics. For the California stocks, no index tested explained >50% of the variation in forecast performance, but spring Pacific Decadal Oscillation and winter North Pacific Index during the year of return explained >40% of the variation for the sibling-based Sacramento Fall Chinook forecast, with nonlinearity and apparent thresholds. This suggests that oceanic conditions experienced by adults (after younger siblings returned) have the most impact on sibling-based forecasts. For Puget Sound stocks, we detected nonlinear/threshold relationships explaining >50% of the variation with multiple indices and lags. Environmental influences on preseason forecasts may create biases that render salmon fisheries management more or less conservative, and therefore could motivate the development of ecosystem-based risk assessments.


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