Using heart rate and acceleration biologgers to estimate winter activity costs in free-swimming largemouth bass

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-24 DOI:10.1016/j.cbpa.2024.111708
Connor Reeve , Kurtis A. Smith , Andre Morin , Paul A. Bzonek , Steven J. Cooke , Jacob W. Brownscombe
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Abstract

Winter is a critical period for largemouth bass (Micropterus nigricans) with winter severity and duration limiting their population growth at northern latitudes. Unfortunately, we have an incomplete understanding of their winter behaviour and energy use in the wild. More winter-focused research is needed to better understand their annual energy budget, improve bioenergetics models, and establish baselines to assess the impacts of climate warming; however, winter research is challenging due to ice cover. Implantable tags show promise for winter-focused research as they can be deployed prior to ice formation. Here, using swim tunnel respirometry, we calibrated heart rate and acceleration biologgers to enable estimations of metabolic rate (O2) and swimming speed in free-swimming largemouth bass across a range of winter-relevant temperatures. In addition, we assessed their aerobic and swim performance. Calculated group thermal sensitivities of most performance metrics indicated the passive physicochemical effects of temperature, suggesting little compensation in the cold; however, resting metabolic rate and critical swimming speed showed partial compensation. We found strong relationships between acceleration and swimming speed, as well as between O2 and heart rate, acceleration, or swimming speed. Jackknife validations indicated that these modeled relationships accurately estimate swimming speed and O2 from biologger recordings. However, there were relatively few reliable heart rate recordings to model the O2 relationship. Recordings of heart rate were high-quality during holding but dropped during experimentation, potentially due to interference from aerobic muscles during swimming. The models informed by acceleration or swimming speed appear to be best suited for field applications.

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利用心率和加速度生物统计器估算自由泳大口鲈鱼的冬季活动成本。
冬季是大口鲈鱼(Micropterus nigricans)的关键时期,冬季的严寒程度和持续时间限制了它们在北纬地区的种群增长。遗憾的是,我们对野生大口鲈鱼的冬季行为和能量利用的了解并不全面。为了更好地了解它们的年度能量预算、改进生物能模型并建立基线以评估气候变暖的影响,需要进行更多针对冬季的研究;然而,由于冰层覆盖,冬季研究具有挑战性。植入式标签可以在冰层形成之前进行部署,因此有望用于以冬季为重点的研究。在这里,我们利用游泳隧道呼吸测量法校准了心率和加速度生物传感器,从而能够估算自由游动的大口鲈鱼在冬季相关温度范围内的代谢率(ṀO2)和游泳速度。此外,我们还评估了它们的有氧运动和游泳性能。大多数性能指标的计算组热敏性表明温度的被动物理化学效应,表明在寒冷条件下几乎没有补偿;然而,静止代谢率和临界游泳速度显示出部分补偿。我们发现加速度与游泳速度之间以及ṀO2与心率、加速度或游泳速度之间存在密切关系。积刀验证表明,这些建模关系能准确估计生物记录器记录的游泳速度和ṀO2。然而,用于建立ṀO2 关系模型的可靠心率记录相对较少。在保持过程中记录到的心率质量较高,但在实验过程中却有所下降,这可能是由于游泳过程中有氧肌肉的干扰。以加速度或游泳速度为依据的模型似乎最适合实地应用。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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