Salmonid bioenergetic drift-foraging: swimming costs and capture success

IF 4.6 Q2 ENVIRONMENTAL SCIENCES Journal of ecohydraulics Pub Date : 2021-03-02 DOI:10.1080/24705357.2020.1839799
I. Jowett, J. Hayes, Jason R. Neuswanger
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引用次数: 5

Abstract

Abstract Software is now available to apply a salmonid bioenergetic drift-foraging model to generate values of net energy intake (NEI) over a range of water depths and velocities. The predictions can be used to build univariate “habitat” suitability curves or multivariate “habitat” selection models for use in instream habitat modelling programs. Capture success and swimming cost sub-models are basic components of the bioenergetic model and there is a need to understand their influence of NEI predictions. Examination of the swimming cost sub-models showed a surprising amount of variation between species and models and this was attributed to the amount and range of data used for their derivation and the different methods of formulating the swimming cost equations. Predictions of optimal velocity for large fish (>96 g) was influenced by the choice of swimming cost sub-model but optimal velocities for smaller fish were dependent on the capture success sub-model. More research is needed to validate the capture success sub-model, especially for larger fish sizes. Swimming costs while intercepting prey, and the cost of swimming in natural streams with turbulence, are other factors that remain uncertain.
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鲑鱼生物能量漂流觅食:游泳成本和捕获成功
软件现在可以应用鲑鱼生物能量漂移觅食模型来产生净能量摄入量(NEI)的值在一定范围的水深和速度。预测结果可用于建立单变量“生境”适宜性曲线或多变量“生境”选择模型,用于河流生境模拟程序。捕获成功子模型和游泳成本子模型是生物能量模型的基本组成部分,有必要了解它们对NEI预测的影响。对游泳成本子模型的检查显示,物种和模型之间存在惊人的差异,这归因于用于推导它们的数据的数量和范围以及制定游泳成本方程的不同方法。大鱼(> ~ 96g)的最优速度预测受游动成本子模型选择的影响,而小鱼的最优速度预测则取决于捕获成功子模型的选择。需要更多的研究来验证捕获成功子模型,特别是对于较大尺寸的鱼。拦截猎物时的游泳成本,以及在有湍流的天然溪流中游泳的成本,是其他不确定因素。
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