Seismicity of the Prince William Sound Region for over Thirty Years Following the 1964 Great Alaskan Earthquake

Author(s):  
Diane I. Doser ◽  
Annette M. Veilleux ◽  
Monique Velasquez
Keyword(s):  
2019 ◽  
Author(s):  
Mollie D. Pope ◽  
◽  
Will S. Fisher ◽  
Alysala M. Malik ◽  
John I. Garver ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
Caitlin M. Noseworthy ◽  
◽  
Tim P. Flood ◽  
Cameron Davidson ◽  
John I. Garver

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Mary A. Bishop ◽  
Jordan W. Bernard

Abstract Background Over the past two decades, various species of forage fish have been successfully implanted with miniaturized acoustic transmitters and subsequently monitored using stationary acoustic receivers. When acoustic receivers are configured in an array, information related to fish direction can potentially be determined, depending upon the number and relative orientation of the acoustic receivers. However, it can be difficult to incorporate directional information into frequentist mark-recapture methods. Here we show how an empirical Bayesian approach can be used to develop a model that incorporates directional movement information into the Arnason-Schwarz modeling framework to describe survival and migration patterns of a Pacific herring (Clupea pallasii) population in coastal Alaska, USA. Methods We acoustic-tagged 326 adult Pacific herring during April 2017 and 2018 while on their spawning grounds in Prince William Sound Alaska, USA. To monitor their movements, stationary acoustic receivers were deployed at strategic locations throughout the Sound. Receivers located at the major entrances to the Gulf of Alaska were arranged in parallel arrays to determine the directional movements of the fish. Informative priors were used to incorporate the directional information recorded at the entrance arrays into the model. Results A seasonal migratory pattern was found at one of Prince William Sound’s major entrances to the Gulf of Alaska. At this entrance, fish tended to enter the Gulf of Alaska during spring and summer after spawning and return to Prince William Sound during the fall and winter. Fish mortality was higher during spring and summer than fall and winter in both Prince William Sound and the Gulf of Alaska. Conclusions An empirical Bayesian modeling approach can be used to extend the Arnason-Schwarz modeling framework to incorporate directional information from acoustic arrays to estimate survival and characterize the timing and direction of migratory movements of forage fish.


2013 ◽  
Vol 118 (10) ◽  
pp. 5428-5441 ◽  
Author(s):  
Lee M. Liberty ◽  
Shaun P. Finn ◽  
Peter J. Haeussler ◽  
Thomas L. Pratt ◽  
Andrew Peterson

2001 ◽  
Vol 10 ◽  
pp. 132-148 ◽  
Author(s):  
Jia Wang ◽  
Meibing Jin ◽  
E. Vincent Patrick ◽  
Jennifer R. Allen ◽  
David L. Eslinger ◽  
...  

Sensors ◽  
2008 ◽  
Vol 8 (8) ◽  
pp. 4894-4914 ◽  
Author(s):  
Haibo Liu ◽  
Peter Olsson ◽  
Karl Volz

2015 ◽  
Vol 24 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Mary Anne Bishop ◽  
Jordan T. Watson ◽  
Kathy Kuletz ◽  
Tawna Morgan

2012 ◽  
Vol 69 (5) ◽  
pp. 955-969 ◽  
Author(s):  
Sara E. Miller ◽  
Milo Adkison ◽  
Lewis Haldorson

Water column stability has been hypothesized to affect growth and ultimately survival of juvenile fish. We estimated the relationships between stability and the growth, condition, and marine survival of several stocks of pink salmon ( Oncorhynchus gorbuscha ) within Prince William Sound (PWS), Alaska, USA, and the northern coastal Gulf of Alaska (GOA) shelf. There was a stronger correlation among the biological parameters of the fish than between the biological parameters and physical conditions. While stability and fish condition during early marine residence in PWS were important to year-class survival, stability of the water column that juveniles experienced as they migrated to the open waters of the GOA did not play a key role in determining survival to adulthood. Below-average stability just prior to capture within PWS combined with positive fish condition was related to increased year-class survival. Our results are similar to previous studies that concluded that slower and weaker development of stratification with a deeper mixed layer depth may be important for juvenile pink salmon survival in PWS.


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