Fit to predict? Eco-informatics for predicting the catchability of a pelagic fish in near real time-Reference-Cited by-同舟云学术

Fit to predict? Eco-informatics for predicting the catchability of a pelagic fish in near real time

Published:2017-10-25 Issue:8 Volume:27 Page:2313-2329
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecol Appl

Author:

Scales Kylie L.¹²³,Hazen Elliott L.¹²,Maxwell Sara M.⁴,Dewar Heidi⁵,Kohin Suzanne⁵,Jacox Michael G.¹²,Edwards Christopher A.¹,Briscoe Dana K.⁶,Crowder Larry B.⁶,Lewison Rebecca L.⁷,Bograd Steven J.²

Affiliation:

1. Institute of Marine Science; University of California Santa Cruz; Santa Cruz California 95064 USA

2. Environmental Research Division; NOAA Southwest Fisheries Science Center; 99 Pacific Street, Suite #255A Monterey California 93940 USA

3. University of the Sunshine Coast; Maroochydore Queensland 4556 Australia

4. Old Dominion University; 5115 Hampton Boulevard Norfolk Virginia 23529 USA

5. NOAA Southwest Fisheries Science Center; 8901 La Jolla Shores Drive La Jolla California 92037 USA

6. Hopkins Marine Station of Stanford University; 120 Ocean View Boulevard Pacific Grove California 93950 USA

7. San Diego State University; 5500 Campanile Drive San Diego California 92182 USA

Publisher

Wiley

Subject

Ecology

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