J.W. Dawson
A.C. Gleiss
E.G. Martins
Alexander J. Haro
Theodore R. Castro-Santos
A. J. Danylchuk
R. P. Wilson
S. J. Cooke
J.D. Thiem
2015
<p>Quantifying fine-scale locomotor behaviours associated with different activities is challenging for free-swimming fish.<br />Biologging and biotelemetry tools can help address this problem. An open channel flume was used to generate volitional<br />swimming speed (Us) estimates of cultured lake sturgeon (Acipenser fulvescens Rafinesque, 1817) and these were paired with<br />simultaneously recorded accelerometer-derived metrics of activity obtained from three types of data-storage tags. This study<br />examined whether a predictive relationship could be established between four different activity metrics (tail-beat frequency<br />(TBF), tail-beat acceleration amplitude (TBAA), overall dynamic body acceleration (ODBA), and vectorial dynamic body acceleration<br />(VeDBA)) and the swimming speed of A. fulvescens. Volitional Us of sturgeon ranged from 0.48 to 2.70 m·s−1 (0.51–3.18 body<br />lengths (BL) · s−1). Swimming speed increased linearly with all accelerometer-derived metrics, and when all tag types were<br />combined, Us increased 0.46 BL·s−1 for every 1 Hz increase in TBF, and 0.94, 0.61, and 0.94 BL·s−1 for every 1g increase in TBAA,<br />ODBA, and VeDBA, respectively. Predictive relationships varied among tag types and tag-specific parameter estimates of Us are<br />presented for all metrics. This use of acceleration data-storage tags demonstrated their applicability for the field quantification<br />of sturgeon swimming speed.</p>
application/pdf
10.1139/cjz-2014-0271
en
NRC Research Press
Accelerometer-derived activity correlates with volitional swimming speed in lake sturgeon (Acipenser fulvescens)
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