Modelling energetic costs of fish swimming

Ohlberger, Jan; Staaks, Georg; Dijk, P. L. M. van; Hölker, Franz

doi:10.1002/jez.a.181

Cited by 38 publications

(35 citation statements)

References 29 publications

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“…Such increased energy costs could have increased the effects of hypoxia exposure on individuals. The laboratory results on the metabolic costs associated with swimming (Ohlberger et al 2005) and specifically to exposure and avoidance of hypoxia by fish are complicated (e.g., van Raaij et al 1996;Farrell et al 1998;Vagner et al 2008;Svendsen et al 2012) and were not easily extrapolated to croaker. Such considerations are possible by adding a metabolic cost submodel.…”

Section: Discussion Hypoxia Effectsmentioning

confidence: 99%

Modeling the Population Effects of Hypoxia on Atlantic Croaker (Micropogonias undulatus) in the Northwestern Gulf of Mexico: Part 1—Model Description and Idealized Hypoxia

Rose

Creekmore

Thomas³

et al. 2017

Estuaries and Coasts

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We developed a spatially explicit, individual-based model to analyze how hypoxia effects on reproduction, growth, and mortality of Atlantic croaker in the northwestern Gulf of Mexico lead to population-level responses. The model follows the hourly growth, mortality, reproduction, and movement of individuals on a 300 × 800 spatial grid of 1-km 2 cells for 140 years. Chlorophyll-a concentration, water temperature, and dissolved oxygen (DO) were specified daily for each grid cell and repeated for each year of the simulation. A bioenergetics model was used to represent growth, mortality was assumed stage-and age-dependent, and the movement behavior of juveniles and adults was modeled based on temperature and avoidance of low DO. Hypoxia effects were imposed using exposure effect submodels that converted time-varying exposures to low DO to reduced hourly growth, increased hourly mortality, and reduced annual fecundity. Results showed that 100 years of either mild or intermediate hypoxia produced small reductions in population abundance, while repeated severe hypoxia caused a 19% reduction in long-term population abundance. Relatively few individuals were exposed to low DO each hour, but many individuals experienced some exposure. The response was dominated by a 5% average reduction in annual fecundity of individuals. Under conditions of random sequences of mild, intermediate, and severe hypoxia years occurring in proportion to their historical frequency, the model predicted a 10% decrease in the long-term population abundance of croaker. A companion paper substitutes hourly DO values from a threedimensional water quality model for the idealized hypoxia and results in a more realistic population reduction of about 25%.

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Section: Discussion Hypoxia Effectsmentioning

confidence: 99%

Modeling the Population Effects of Hypoxia on Atlantic Croaker (Micropogonias undulatus) in the Northwestern Gulf of Mexico: Part 1—Model Description and Idealized Hypoxia

Rose

Creekmore

Thomas³

et al. 2017

Estuaries and Coasts

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“…This model was then used to predict active metabolic rates by applying a previously derived model of the AMR based on fish mass and swimming speed of these species from Ohlberger et al (2005):…”

Section: Methodsmentioning

confidence: 99%

Estimating the active metabolic rate (AMR) in fish based on tail beat frequency (TBF) and body mass

2007

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Tail beat frequency (TBF) was measured for carp (Cyprinus carpio) and roach (Rutilus rutilus), during steady swimming at five different speeds and for fish of various body masses. A multiple stepwise linear regression analysis resulted in models for the prediction of TBFs depending on swimming speed as an independent variable. Speed explained 72 and 86% of the variance in TBF for carp and roach, respectively. By using these data to predict TBF from speed and substituting values into a model from a previous study that predicts active metabolic rates (AMR) from body mass and swimming speed, we can calculate AMR from only fish mass and TBF. Thus, the derived models can be used to estimate the AMR in fish by measuring TBFs in the field using biotelemetry. The approach presented here is a useful and relatively simple tool for estimating the activity metabolism in free-swimming fish. In future studies this method should be applied to a larger and more representative sample size to test the applicability and the validity for a broader range of species.

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“…The relationship between swimming speed and oxygen consumption rate has been described by linear, exponential and power functions (Webb, 1993). For the data generated in this study, the power function gave higher regression coefficients than the exponential function, and was therefore used as the model to describe the MO 2 -U relationship (Ohlberger et al, 2005). The power function has the form…”

Section: Measurement Of Weight-specific Oxygen Consumption (Mo 2 )mentioning

confidence: 99%

Aerobic swimming performance of juvenile Schizothorax chongi (Pisces, Cyprinidae) in the Yalong River, southwestern China

Yuan

Han

et al. 2011

Hydrobiologia

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Schizothorax chongi (locally known as Xilian Yu), a fish species commonly found in Yalong River, has been declining quickly in recent years. One of the important factors, among many, is the interruption of the free flowing river by dams. To obtain data that can be applied to the design of a fishway for S. chongi and other species in the community, a laboratory study of juvenile S. chongi's swimming energetics and kinematics was conducted in a flume-type respirometer equipped with a high speed video camera system to record swimming behavior. The aerobic metabolic rate, tail beat frequency (TBF) and tail beat amplitude (TBA) were measured during steady swimming at varying flow rates for fish of similar mass. A power function accurately describes the relationship between oxygen consumption rate (MO 2 ) and swimming speed (U). The estimated standard metabolic rate (SMR) calculated from the power function was 445.34 mg O 2 kg -1 h -1 , similar to the experimental result of 431.5 mg O 2 kg -1 h -1 . The relationship between cost of transport (COT) and U was, characteristically, inverse bell-shaped, with COT min = 44.6 J kg -1 m -1 at U opt = 5.5 body lengths per second (bl s -1 ). There was a significant positive linear correlation between TBF and U. The slope of the correlation (0.33) was lower than for many other species, implying that S. chongi swim efficiently. The TBA, ranging from 0.15 to 0.2 bl, was found to be independent of U. Kinematic analyses indicates that S. chongi primarily depends on the caudal fin to generate forward thrust and employs three velocity-dependent swimming gaits. This investigation provides data on the swimming ability of S. chongi that will add to the basic science required for fishway design.

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Modelling energetic costs of fish swimming

Cited by 38 publications

References 29 publications

Modeling the Population Effects of Hypoxia on Atlantic Croaker (Micropogonias undulatus) in the Northwestern Gulf of Mexico: Part 1—Model Description and Idealized Hypoxia

Modeling the Population Effects of Hypoxia on Atlantic Croaker (Micropogonias undulatus) in the Northwestern Gulf of Mexico: Part 1—Model Description and Idealized Hypoxia

Estimating the active metabolic rate (AMR) in fish based on tail beat frequency (TBF) and body mass

Aerobic swimming performance of juvenile Schizothorax chongi (Pisces, Cyprinidae) in the Yalong River, southwestern China

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