Index Catalog // ScholarsArchive@OSU

Creator:: Bayley, Peter B., Castello, Leandro, Batista, Vandick S., and Fabre, Nidia N.
Abstract:: The influence of the flood pulse on fish populations has been posited, but infrequently tested or quantified. Here, we tested the effect of habitat on population size, using Prochilodus nigricans as a case study species. Floodplain habitat was based on the littoral zone area occupied by P. nigricans to feed....
Resource Type:: Article
Full Text:: variation in the central Amazon Peter B. Bayley1,†, Leandro Castello2, Vandick S. Batista3 and Nidia N

Creator:: Lemos, Leila, Chandler, Todd E., Torres, Leigh G., and Nieukirk, Sharon L.
Abstract:: During traditional boat-based surveys of marine megafauna, behavioral observations are typically limited to records of animal surfacings obtained from a horizontal perspective. Achieving an aerial perspective has been restricted to brief helicopter or airplane based observations that are costly, noisy, and risky. The emergence of commercial small unmanned aerial systems...
Resource Type:: Article
Full Text:: University, Australia Reviewed by: David W. Johnston, Duke University, United States Phil J. Bouchet, The

Creator:: Kroeker, Kristy J., Carr, Mark H., Raimondi, Peter T., Caselle, Jennifer E., Washburn, Libe, Palumbi, Stephen R., Barth, John A., Chan, Francis, Menge, Bruce A., Milligan, Kristen, Novak, Mark, and White, J. Wilson
Abstract:: Despite progressive policies and continued advances in ocean management, numerous shifts associated with global changes have been observed in marine ecosystems in recent years, including warming, ocean acidification, and deoxygenation. As global change accelerates, science is needed to inform evidence-based management strategies for continued ecosystem services. Resilience management, in which...
Resource Type:: Article
Full Text:: Changing Ocean By Kristy J. Kroeker, Mark H. Carr, Peter T. Raimondi, Jennifer E. Caselle, Libe

Creator:: Munger, Jill
Abstract:: A deep neural network was developed and trained to identify the sounds of pomacentrids (damselfishes) in the National Park of American Samoa. Four years of continuous, passive acoustic data were recorded by a single stationary hydrophone. Deep neural networks enable the full utilization of such large datasets by automating laborious...
Resource Type:: Presentation
Full Text:: . Smith, J. E., R. Brainard, A. Carter, S. Grillo, C. Edwards, J. Harris, L. Lewis, D. Obura, F. Rohwer, E

ScholarsArchive@OSU