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Diel vertical migration of Antarctic krill (Euphausia superba) is flexible during advection across the Scotia Sea

Citation

Cresswell, KA and Tarling, GA and Thorpe, SE and Burrows, MT and Wiedenmann, J and Mangel, M, Diel vertical migration of Antarctic krill (Euphausia superba) is flexible during advection across the Scotia Sea, Journal of Plankton Research, 31, (10) pp. 1265-1281. ISSN 0142-7873 (2009) [Refereed Article]

Copyright Statement

Copyright 2009 The Authors

DOI: doi:10.1093/plankt/fbp062

Abstract

We model a summer snapshot of the behavior of Antarctic krill (Euphausia superba) during advection across the Scotia Sea. Individual krill respond to a changing landscape of predation risk and food availability by migrating vertically in the water column and choosing an average distance to their nearest neighbor (swarm density). We determine the optimal behavior of 30, 40 and 50 mm krill using a state-dependent life history model where individuals move along 30-day segments of hypothetical journey tracks in three different regions of the Scotia Sea, with the tracks extracted from a combination of circulation models and surface drifter data. Food availability is based on satellite data for surface Chl a with additional heterotrophic and detritus food components, and mortality is parameterized with respect to distance from shore, daylight and krill swarming-behavior. We predict that proximity to predator colonies has a distinct effect on behavior, particularly on depth choice when food-availability is low. Observations made during an acoustic survey of the region found swarms to be deeper at the Antarctic Peninsula compared with South Georgia, in line with model predictions. Our predictions are also consistent with observations that swarm density changes little on a logarithmic scale across the region. We show that being able to change behavior on short time scales has distinct advantages to krill.

Item Details

Item Type:Refereed Article
Keywords:Euphausia superba, behaviour, DVM, swarming, SDP, advection, stochastic dynamic programming, mortality
Research Division:Mathematical Sciences
Research Group:Applied mathematics
Research Field:Biological mathematics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Cresswell, KA (Ms Katie Cresswell)
ID Code:131155
Year Published:2009
Web of Science® Times Cited:17
Deposited By:Fisheries and Aquaculture
Deposited On:2019-03-05
Last Modified:2019-05-10
Downloads:0

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