Predicting the spatio-temporal distributions of pelagic sharks in the western and central North Pacific

Author:

Kai Mikihiko1ORCID,Thorson James T.2,Piner Kevin R.3,Maunder Mark N.45

Affiliation:

1. National Research Institute of Far Seas Fisheries (NRIFSF); Japan Fisheries Research and Education Agency; Shimizu Shizuoka Japan

2. Fisheries Resource Analysis and Monitoring Division; Northwest Fisheries Science Center; National Marine Fisheries Service (NMFS); NOAA; Seattle WA U.S.A

3. Southwest Fisheries Science Center; National Marine Fisheries Service (NMFS); NOAA; La Jolla CA U.S.A

4. Inter-American Tropical Tuna Commission; La Jolla CA U.S.A

5. Center for the Advancement of Population Assessment Methodology, Scripps Institution of Oceanography; La Jolla CA U.S.A

Funder

Fisheries Agency

Publisher

Wiley

Subject

Aquatic Science,Oceanography

Reference86 articles.

1. Case Study: Blue Shark Catch-Rate Patterns from the Portuguese Swordfish Longline Fishery in the Azores

2. Akaike , H. 1973 Information theory as an extension of the maximum likelihood principle B. N. Petrov F. Csaki 2nd International Symposium on Information Theory Budapest Akademiai Kiado

3. Global fish abundance estimation from regular sampling: The geostatistical transitive method;Bez;Canadian Journal of Fisheries and Aquatic Science,2002

4. Environmental effects on swordfish and blue shark catch rates in the US North Pacific longline fishery;Bigelow;Fisheries Ocenanography,1999

5. Productivity and population maintenance of seamount resources and future research directions. Biology of the transition region;Boehlert;NOAA Technical Report NMFS,1986

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