Acoustic evidence for seasonal resource-tracking migration by a top predator of the deep sea

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Authors

William K Oestreich , Kelly J Benoit-Bird, Briana Abrahms, Tetyana Margolina, John E Joseph, Yanwu Zhang, Carlos Rueda, John P Ryan

Abstract

The strategies that animals employ to track resources through space and time are central to their ecology and reflect underlying ecosystem phenology. Deep-sea ecosystems represent Earth’s largest habitable space, yet ecosystem phenology and effective animal movement strategies in these systems are unknown. Analyzing seven-plus years of continuous population-level acoustic observations, we find evidence for seasonal, latitudinal migratory movements by sperm whales in the Northeast Pacific. Assessment of size-correlated echolocation click characteristics indicates that all demographic groups undertake seasonal movements in this region. Integration of these population-level empirical results with individual-level movement simulations provides the first evidence of seasonal resource-tracking migration in a deep-sea top predator. While often described as nomadic, we instead find that sperm whales track oceanographic seasonality in a manner similar to many surface ocean predators. Together, these findings elucidate the drivers of this top predator’s long-distance movements and shed light on the shrouded phenology of deep-sea ecosystems.

DOI

https://doi.org/10.32942/X2K591

Subjects

Life Sciences

Keywords

phenology, deep sea, movement ecology, bioacoustics, resource tracking

Dates

Published: 2023-04-28 04:53

Last Updated: 2023-06-29 18:40

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License

CC-BY Attribution-NonCommercial-ShareAlike 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
None

Data and Code Availability Statement:
Raw (256 kHz) and decimated (16 kHz) acoustic data from the MARS hydrophone are available here: https://docs.mbari.org/pacific-sound/. Code for processing acoustic data, analyzing sperm whale detections, and simulating individual-level movement strategies are available here: https://github.com/woestreich/cachalot_seasonal.

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