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NOAA Fisheries Northwest Science Center Publication Details

CitationDerville S, Fisher JL, Kaplan RL, Bernard KS, Phillips EM, Torres LG. A predictive krill distribution model for Euphausia pacifica and Thysanoessa spinifera using scaled acoustic backscatter in the Northern California Current. Progress in Oceanography. 2025 Feb 1;231:103388. (https://doi.org/10.1016/j.pocean.2024.103388)
TitleA predictive krill distribution model for Euphausia pacifica and Thysanoessa spinifera using scaled acoustic backscatter in the Northern California Current
Publication Year2025
Volume231
Keywordskrill; hydroacoustics; net tow; species distribution models; shelf break; upwelling; predictions
AbstractEuphausiids (krill) are globally significant zooplankton prey for many commercially important or endangered predator species. In the productive upwelling system of the Northern California Current (NCC), two krill species, Euphausia pacifica and Thysanoessa spinifera, dominate the preyscape and constitute an important food resource for many seabirds, cetaceans, and fish. In this study, we use five years of hydroacoustic and net tow data collected in the NCC to develop integrative models predicting acoustic backscatter scaled for E. pacifica or T. spinifera separately. Boosted Regression Trees and Generalized Additive Models are applied in an original ensemble hurdle framework to predict krill presence and abundance from a diverse set of topographic and oceanographic predictors. Krill metrics had significant relationships with seabed depth, distance to submarine canyons, and variables indicative of dynamic ocean conditions (e.g., total deviance explained in acoustic data: 25% in the pres
Official CitationDerville S, Fisher JL, Kaplan RL, Bernard KS, Phillips EM, Torres LG. A predictive krill distribution model for Euphausia pacifica and Thysanoessa spinifera using scaled acoustic backscatter in the Northern California Current. Progress in Oceanography. 2025 Feb 1;231:103388.
Links (https://doi.org/10.1016/j.pocean.2024.103388)