Acoustic vector sensing reveals ecologically modulated sympatry of blue and fin whales

Earth’s largest animal species, blue and fin whales, share a similar life history strategy involving annual long-distance migration between foraging and breeding habitat. The difficulty of monitoring spatial distributions of both species simultaneously has limited understanding of their sympatry within foraging habitats that sustain them. In addressing this observational challenge, a valuable method is acoustic vector sensing of the sounds produced by the whales. Using three years of continuous acoustic vector sensor data, we examine habitat occupancy of blue and fin whales in the central California Current Ecosystem. While fin whales called almost exclusively from offshore deep-water habitat, blue whales called predominantly from shelf and slope water habitat—indicating an allopatric tendency. However, stronger sympatry occurred during the third year, as blue whales spent a greater proportion of time in offshore deep-water habitat. This year was distinguished by the strongest wind-driven coastal upwelling, the furthest offshore extension of upwelled waters, and the greatest abundances of krill that are prey of both whale species. upporting the recovery of endangered blue and fin whale populations requires understanding where and how they live, and acoustic vector sensing is effective for this purpose in ecological research and resource management.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2024-10-01
DOI
https://doi.org/10.1121/10.0035290
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acoustic vector sensing reveals ecologically modulated sympatry of blue and fin whales

John E. Joseph, Jarrod A. Santora, Tetyana Margolina, John P. Ryan et al.
The Journal of the Acoustical Society of America
Marine animal studies overview
article

Acoustic vector sensing reveals ecologically modulated sympatry of blue and fin whales

John E. Joseph, Jarrod A. Santora, Tetyana Margolina, John P. Ryan, Kevin B. Smith, Paul Leary, Jeremy A. Goldbogen, Andrew DeVogelaere, Kelly J. Benoit‐Bird, William K. Oestreich, Vanessa M. ZoBell, Francisco P. Chávez, Chad King
article en

Abstract

Earth’s largest animal species, blue and fin whales, share a similar life history strategy involving annual long-distance migration between foraging and breeding habitat. The difficulty of monitoring spatial distributions of both species simultaneously has limited understanding of their sympatry within foraging habitats that sustain them. In addressing this observational challenge, a valuable method is acoustic vector sensing of the sounds produced by the whales. Using three years of continuous acoustic vector sensor data, we examine habitat occupancy of blue and fin whales in the central California Current Ecosystem. While fin whales called almost exclusively from offshore deep-water habitat, blue whales called predominantly from shelf and slope water habitat—indicating an allopatric tendency. However, stronger sympatry occurred during the third year, as blue whales spent a greater proportion of time in offshore deep-water habitat. This year was distinguished by the strongest wind-driven coastal upwelling, the furthest offshore extension of upwelled waters, and the greatest abundances of krill that are prey of both whale species. upporting the recovery of endangered blue and fin whale populations requires understanding where and how they live, and acoustic vector sensing is effective for this purpose in ecological research and resource management.

The Journal of the Acoustical Society of AmericaVol. 156(4_Supplement)
Monterey Bay Aquarium Research Institute (US), California State University, Monterey Bay (US), Scripps Institution of Oceanography (US), Naval Postgraduate School (US), Pacific University (US), Stanford University (US)
Openalex Percentile: Top 75%
Marine animal studies overview
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.