Comparative swarming dynamics of Antarctic krill and ice krill in the Ross Sea Region Marine Protected Area

Antarctic krill (Euphausia superba) and ice krill (Euphausia crystallorophias) are vital to the Southern Ocean ecosystem, yet their swarming behavior remains poorly understood. This study applied a novel approach in the Ross Sea by directly linking acoustically detected swarms with net-captured krill, enabling precise identification of species and body size-key traits often unavailable in previous studies. From 14 Antarctic krill and 55 ice krill swarms, key properties-depth, length, height, area, and packing concentration-were extracted. Hierarchical clustering grouped swarms into two Antarctic krill groups and three ice krill groups with significant differences (P < 0.01). Antarctic krill swarms were often shallower, in warmer, less saline waters away from the coastline and ice-edge, compared to ice krill. Larger Antarctic krill (47.5 mm) formed swarms about 40 times smaller in area than smaller ones (40.1 mm). The smallest ice krill (11.4 mm) appeared in Terra Nova Bay, at greater depths, forming dense swarms. Despite similar body sizes and environmental conditions, some ice krill swarms were up to 15 times larger than others. Body length was a key factor influencing swarm properties. These findings provide new insights into swarming strategies and behavioral ecology of both species in the Ross Sea.

Authors

Institutions

Publication Details

Journal
Marine Environmental Research
Published
2026-01-06
DOI
https://doi.org/10.1016/j.marenvres.2026.107842
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative swarming dynamics of Antarctic krill and ice krill in the Ross Sea Region Marine Protected Area

J. Kim, Hyoung Sul LA, S. J. Kim, Wuju Son et al.
Marine Environmental Research
Marine and fisheries research
article

Comparative swarming dynamics of Antarctic krill and ice krill in the Ross Sea Region Marine Protected Area

J. Kim, Hyoung Sul LA, S. J. Kim, Wuju Son, Jisoo Park, Jaeill Yoo, Tae-Wan Kim
article en

Abstract

Antarctic krill (Euphausia superba) and ice krill (Euphausia crystallorophias) are vital to the Southern Ocean ecosystem, yet their swarming behavior remains poorly understood. This study applied a novel approach in the Ross Sea by directly linking acoustically detected swarms with net-captured krill, enabling precise identification of species and body size-key traits often unavailable in previous studies. From 14 Antarctic krill and 55 ice krill swarms, key properties-depth, length, height, area, and packing concentration-were extracted. Hierarchical clustering grouped swarms into two Antarctic krill groups and three ice krill groups with significant differences (P < 0.01). Antarctic krill swarms were often shallower, in warmer, less saline waters away from the coastline and ice-edge, compared to ice krill. Larger Antarctic krill (47.5 mm) formed swarms about 40 times smaller in area than smaller ones (40.1 mm). The smallest ice krill (11.4 mm) appeared in Terra Nova Bay, at greater depths, forming dense swarms. Despite similar body sizes and environmental conditions, some ice krill swarms were up to 15 times larger than others. Body length was a key factor influencing swarm properties. These findings provide new insights into swarming strategies and behavioral ecology of both species in the Ross Sea.

Marine Environmental ResearchVol. 215
Korea Polar Research Institute (KR)
Life below water
Openalex Percentile: Top 97%
Marine and fisheries research
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.