Interactive drivers of activity in a free-ranging estuarine predator.

Animal activity patterns evolve as an optimal balance between energy use, energy acquisition, and predation risk, so understanding how animals partition activity relative to extrinsic environmental fluctuations is central to understanding their ecology, biology and physiology. Here we use accelerome...

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Main Authors: Matthew D Taylor, Luke McPhan, Dylan E van der Meulen, Charles A Gray, Nicholas L Payne
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3832432?pdf=render
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spelling doaj-50b408cd9d604fe8aaec284f940574ec2020-11-25T02:44:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01811e8096210.1371/journal.pone.0080962Interactive drivers of activity in a free-ranging estuarine predator.Matthew D TaylorLuke McPhanDylan E van der MeulenCharles A GrayNicholas L PayneAnimal activity patterns evolve as an optimal balance between energy use, energy acquisition, and predation risk, so understanding how animals partition activity relative to extrinsic environmental fluctuations is central to understanding their ecology, biology and physiology. Here we use accelerometry to examine the degree to which activity patterns of an estuarine teleost predator are driven by a series of rhythmic and arrhythmic environmental fluctuations. We implanted free-ranging bream Acanthopagrus australis with acoustic transmitters that measured bi-axial acceleration and pressure (depth), and simultaneously monitored a series of environmental variables (photosynthetically active radiation, tidal height, temperature, turbidity, and lunar phase) for a period of approximately four months. Linear modeling showed an interaction between fish activity, light level and tidal height; with activity rates also negatively correlated with fish depth. These patterns highlight the relatively-complex trade-offs that are required to persist in highly variable environments. This study demonstrates how novel acoustic sensor tags can reveal interactive links between environmental cycles and animal behavior.http://europepmc.org/articles/PMC3832432?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Matthew D Taylor
Luke McPhan
Dylan E van der Meulen
Charles A Gray
Nicholas L Payne
spellingShingle Matthew D Taylor
Luke McPhan
Dylan E van der Meulen
Charles A Gray
Nicholas L Payne
Interactive drivers of activity in a free-ranging estuarine predator.
PLoS ONE
author_facet Matthew D Taylor
Luke McPhan
Dylan E van der Meulen
Charles A Gray
Nicholas L Payne
author_sort Matthew D Taylor
title Interactive drivers of activity in a free-ranging estuarine predator.
title_short Interactive drivers of activity in a free-ranging estuarine predator.
title_full Interactive drivers of activity in a free-ranging estuarine predator.
title_fullStr Interactive drivers of activity in a free-ranging estuarine predator.
title_full_unstemmed Interactive drivers of activity in a free-ranging estuarine predator.
title_sort interactive drivers of activity in a free-ranging estuarine predator.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description Animal activity patterns evolve as an optimal balance between energy use, energy acquisition, and predation risk, so understanding how animals partition activity relative to extrinsic environmental fluctuations is central to understanding their ecology, biology and physiology. Here we use accelerometry to examine the degree to which activity patterns of an estuarine teleost predator are driven by a series of rhythmic and arrhythmic environmental fluctuations. We implanted free-ranging bream Acanthopagrus australis with acoustic transmitters that measured bi-axial acceleration and pressure (depth), and simultaneously monitored a series of environmental variables (photosynthetically active radiation, tidal height, temperature, turbidity, and lunar phase) for a period of approximately four months. Linear modeling showed an interaction between fish activity, light level and tidal height; with activity rates also negatively correlated with fish depth. These patterns highlight the relatively-complex trade-offs that are required to persist in highly variable environments. This study demonstrates how novel acoustic sensor tags can reveal interactive links between environmental cycles and animal behavior.
url http://europepmc.org/articles/PMC3832432?pdf=render
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