@article{fdi:010092195, title = {{A} predictive krill distribution model for {E}uphausia pacifica and {T}hysanoessa spinifera using scaled acoustic backscatter in the {N}orthern {C}alifornia {C}urrent}, author = {{D}erville, {S}ol{\`e}ne and {F}isher, {J}. {L}. and {K}aplan, {R}. {L}. and {B}ernard, {K}. {S}. and {P}hillips, {E}. {M}. and {T}orres, {L}. {G}.}, editor = {}, language = {{ENG}}, abstract = {{E}uphausiids (krill) are globally significant zooplankton prey for many commercially important or endangered predator species. {I}n the productive upwelling system of the {N}orthern {C}alifornia {C}urrent ({NCC}), two krill species, {E}uphausia pacifica and {T}hysanoessa spinifera, dominate the preyscape and constitute an important food resource for many seabirds, cetaceans, and fish. {I}n 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. {B}oosted {R}egression {T}rees and {G}eneralized {A}dditive {M}odels are applied in an original ensemble hurdle framework to predict krill presence and abundance from a diverse set of topographic and oceanographic predictors. {K}rill 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 presence-absence model & 49 % in the abundance model). {P}redictions of krill abundance at 5 km resolution averaged by month indicate differential habitat preferences between the two species: {T}. spinifera was constrained to the continental shelf, around and inshore of the 200 m isobath, whereas {E}. pacifica was found in greater abundances just offshore of the 200 m isobath and into offshore water in lower abundances. {E}. pacifica was generally more abundant than {T}. spinifera (10:1.3 ratio). {B}oth species increased in abundance in the spring and summer, followed by a rapid decline in the fall, and lowest abundances in the winter. {T}hese models can produce fine-scale spatial and year-round weekly predictions of {E}. pacifica and {T}. spinifera abundance in the {NCC}, which will provide essential knowledge and new spatial layers about critical ecosystem components to support research and management.}, keywords = {{K}rill ; {H}ydroacoustics ; {N}et tow ; {S}pecies distribution models ; {S}helf break ; {U}pwelling ; {P}redictions ; {PACIFIQUE} ; {ETATS} {UNIS} ; {CALIFORNIE}}, booktitle = {}, journal = {{P}rogress in {O}ceanography}, volume = {231}, numero = {}, pages = {103388 [18 p.]}, ISSN = {0079-6611}, year = {2025}, DOI = {10.1016/j.pocean.2024.103388}, URL = {https://www.documentation.ird.fr/hor/fdi:010092195}, }