Impact of hydraulic forces on the passage of round goby (Neogobius melanostomus), gudgeon (Gobio gobio) and bullhead (Cottus gobio) in a vertical slot fish pass

Wiegleb, Joschka; Hirsch, Philipp; Seidel, Frank; Rauter, Georg; Burkhardt‐Holm, Patricia

doi:10.1111/eff.12696

Cited by 3 publications

(5 citation statements)

References 77 publications

(122 reference statements)

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“…Flow regimes can have supportive, as well as disadvantageous energetic effects on the swimming fish (Liao, 2007) and we therefore assume that the fish chose the most advantageous swimming behaviour, corresponding to their individual requirements. The flow field of a vertical slot has been shown to differently affect the fish species physically as different hydraulic burden the fish have to overcome in a vertical slot have been reported by Wiegleb et al (2022a) and Wiegleb et al (2022b). These findings, together with the present study, suggests that the flow induced by vertical slots affect the swimming behaviour of fish differently.…”

Section: Discussionsupporting

confidence: 71%

“…Fish passage research frequently focus on flow conditions in the basin. Nevertheless, together with Wiegleb et al (2022a) and Wiegleb et al (2022b), we show that the flow in the vertical slot is an important factor for passage success. Therefore, future fish passage research should focus on improving bottleneck flow fields to improve passage of various fish species and fish sizes to follow the Convention on Biological Diversity and reduce barriers to all species in aquatic ecosystems (United Nations, 1992).…”

Section: Application Of Artificial Intelligence In Fish Ecologymentioning

confidence: 66%

“…One important factor for the decision whether to pass the slot or not might be the hydraulic force experienced by the fish. We observed a reduction of the passage probability of live round goby and bullhead when the fish experienced larger hydraulic burden at the higher water discharge (Wiegleb et al, 2022b). This would explain the high number of round goby which approached the slot from the left, and then left the camera view on the right, after deciding against or being prevented from passage.…”

Section: Differences and Similarities In The Swimming Patterns Betwee...mentioning

confidence: 68%

“…It is possible that the fish of the present study chose specific routes because they provide the most supportive conditions for fish to overcome flow field in the vertical slot. This route along the right partition wall represented the shortest way across the vertical slot and flow velocities were reported lower near the side walls than in the centre of the vertical slot (Wiegleb et al, 2022b). Li et al (2021) observed a similar orientation of Schizothorax prenanti Tchang (1930) to areas of reduced water velocity and increased Turbulent Kinetic Energy near the partition wall while passage of a vertical slot.…”

Section: Differences and Similarities In The Swimming Patterns Betwee...mentioning

confidence: 83%

“…Fish swimming further upstream encountered a prototype hydraulic barrier, which was installed in the second vertical slot. In previous publications we compared frequencies of specific behaviours of the fish between first slot and barrier (Egger et al, 2020), described the performance of the prototype hydraulic barrier (Wiegleb et al, 2022a, and described the impact of hydraulic forces of the passage success of the fish in the first vertical slot (Wiegleb et al, 2022b) with data from the same experiment. In the present study, we compare the swimming behaviour among fish species when swimming through the vertical slot on a trajectory level and focus on understanding the small scale swimming behaviour of the fish.…”

Section: Methodsmentioning

confidence: 99%

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Round goby [Neogobius melanostomus (Pallas, 1814)], gudgeon (Gobio gobio L.) and bullhead (Cottus gobio L.) show distinct swimming patterns in a vertical slot fish pass

Wiegleb

Hirsch

Seidel

et al. 2023

Front. Environ. Sci.

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The vertical slots of fish passes represent bottlenecks that must be passed by every fish migrating upstream. The hydraulics in fish passes are well investigated but less is known about the small scale behaviour of fish while passing the vertical slot. Understanding the species-specific swimming behaviour during the passage could allow for creation of future fish passes with hydraulics adapted to the swimming requirements of desired target species. We recorded the swimming trajectories of three fish species as point coordinates per video frame using cameras. Then, two common machine learning algorithms were used to identify species characteristic swimming patterns in the trajectories. A Random Forest model trained on 21 trajectory features revealed that water discharge, the spatial trajectory position, and the trajectory length were most distinct trajectory features among species. The model identified the species with a mean F1 score of 0.86 ± 0.08 SD for round goby [Neogobius melanostomus (Pallas, 1814)], 0.81 ± 0.12 SD for gudgeon (Gobio L.), and 0.58 ± 0.20 SD for bullhead (Cottus gobio L.). A Convolutional Neural Network achieved a mean F1 score of 0.89 ± 0.03 SD for round goby, 0.76 ± 0.05 SD for gudgeon, and 0.67 ± 0.02 SD for bullhead if exclusively trained on the point coordinates of the swimming trajectories. These results demonstrate that fish species exhibit distinct swimming patterns when passing through a vertical slot, and how these patterns can be used for species identification using machine learning algorithms. Because round goby achieved the highest F1 scores, we conclude that round goby showed the most characteristic swimming trajectories among the species tested. Future fish passage research should account for the individual swimming patterns of the fish in these bottleneck flow fields and on adapting the flow to the individual swimming patterns of the target fish. Flow conditions being supportive for swimming patterns of the desired fish could have the potential to improve the river connectivity and thereby support the aquatic biodiversity.

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Section: Discussionsupporting

confidence: 71%

Section: Application Of Artificial Intelligence In Fish Ecologymentioning

confidence: 66%

Section: Differences and Similarities In The Swimming Patterns Betwee...mentioning

confidence: 68%

Section: Differences and Similarities In The Swimming Patterns Betwee...mentioning

confidence: 83%

Section: Methodsmentioning

confidence: 99%

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Round goby [Neogobius melanostomus (Pallas, 1814)], gudgeon (Gobio gobio L.) and bullhead (Cottus gobio L.) show distinct swimming patterns in a vertical slot fish pass

Wiegleb

Hirsch

Seidel

et al. 2023

Front. Environ. Sci.

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Does swimming at the bottom serve as a hydraulic advantage for benthic fish Neogobius melanostomus Pallas (1814) in flowing water?

Govindasamy,

Rauter,

Seidel

et al. 2024

Biology Open

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Benthic fish, such as the round goby (Neogobius melanostomus Pallas, 1814) tend to swim near the bottom, especially at increased water velocities. To test whether these fish have a hydraulic advantage from swimming near the bottom and how the substrate affects the forces experienced, we measured the hydraulic forces experienced by preserved fish in a flow channel. The fish were tested 5.0 mm above the bottom at smooth and rough surface, and in the water column (10.0 cm elevation) above smooth and rough surface at 0.95 m/s water velocity. No significant effect among the mean hydraulic forces was observed between both fish positions, whereas the mean hydraulic forces in the water column were significantly higher (P<0.05) above the rough surface (mean 0.077 N±0.025 s.d.) than above the smooth surface (mean 0.068 N±0.021 s.d.). A convolutional neural network (CNN) predicted the column smooth treatment was the most characteristic force data time series (mean F1=0.88±0.03 s.d.). We conclude that the body posture and body movements of the fish are more relevant for the hydraulic forces experienced by the fish than the vertical position in the water column. Further factors explaining the affinity to swimming near the bottom are discussed.

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Predicting near-term, out-of-sample fish passage, guidance, and movement across diverse river environments by cognitively relating momentary behavioral decisions to multiscale memories of past hydrodynamic experiences

Goodwin,

Lai,

Taflin

et al. 2023

Front. Ecol. Evol.

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Predicting the behavior of individuals acting under their own motivation is a challenge shared across multiple scientific fields, from economic to ecological systems. In rivers, fish frequently change their orientation even when stimuli are unchanged, which makes understanding and predicting their movement in time-varying environments near built infrastructure particularly challenging. Cognition is central to fish movement, and our lack of understanding is costly in terms of time and resources needed to design and manage water operations infrastructure that is able to meet the multiple needs of human society while preserving valuable living resources. An open question is how best to cognitively account for the multi-modal, -attribute, -alternative, and context-dependent decision-making of fish near infrastructure. Here, we leverage agent- and individual-based modeling techniques to encode a cognitive approach to mechanistic fish movement behavior that operates at the scale in which water operations river infrastructure is engineered and managed. Our cognitive approach to mechanistic behavior modeling uses a Eulerian-Lagrangian-agent method (ELAM) to interpret and quantitatively predict fish movement and passage/entrainment near infrastructure across different and time-varying river conditions. A goal of our methodology is to leverage theory and equations that can provide an interpretable version of animal movement behavior in complex environments that requires a minimal number of parameters in order to facilitate the application to new data in real-world engineering and management design projects. We first describe concepts, theory, and mathematics applicable to animals across aquatic, terrestrial, avian, and subterranean domains. Then, we detail our application to juvenile Pacific salmonids in the Bay-Delta of California. We reproduce observations of salmon movement and passage/entrainment with one field season of measurements, year 2009, using five simulated behavior responses to 3-D hydrodynamics. Then, using the ELAM model calibrated from year 2009 data, we predict the movement and passage/entrainment of salmon for a later field season, year 2014, which included a novel engineered fish guidance boom not present in 2009. Central to the fish behavior model’s performance is the notion that individuals are attuned to more than one hydrodynamic signal and more than one timescale. We find that multi-timescale perception can disentangle multiplex hydrodynamic signals and inform the context-based behavioral choice of a fish. Simulated fish make movement decisions within a rapidly changing environment without global information, knowledge of which direction is downriver/upriver, or path integration. The key hydrodynamic stimuli are water speed, the spatial gradient in water speed, water acceleration, and fish swim bladder pressure. We find that selective tidal stream transport in the Bay-Delta is a superset of the fish-hydrodynamic behavior repertoire that reproduces salmon movement and passage in dam reservoir environments. From a cognitive movement ecology perspective, we describe how a behavior can emerge from a repertoire of multiple fish-hydrodynamic responses that are each tailored to suit the animal’s recent past experience (localized environmental context). From a movement behavior perspective, we describe how different fish swim paths can emerge from the same local hydrodynamic stimuli. Our findings demonstrate that a cognitive approach to mechanistic fish movement behavior modeling does not always require the maximum possible spatiotemporal resolution for representing the river environmental stimuli although there are concomitant tradeoffs in resolving features at different scales. From a water operations perspective, we show that a decision-support tool can successfully operate outside the calibration conditions, which is a necessary attribute for tools informing future engineering design and management actions in a world that will invariably look different than the past.

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Impact of hydraulic forces on the passage of round goby (Neogobius melanostomus), gudgeon (Gobio gobio) and bullhead (Cottus gobio) in a vertical slot fish pass

Cited by 3 publications

References 77 publications

Round goby [Neogobius melanostomus (Pallas, 1814)], gudgeon (Gobio gobio L.) and bullhead (Cottus gobio L.) show distinct swimming patterns in a vertical slot fish pass

Round goby [Neogobius melanostomus (Pallas, 1814)], gudgeon (Gobio gobio L.) and bullhead (Cottus gobio L.) show distinct swimming patterns in a vertical slot fish pass

Does swimming at the bottom serve as a hydraulic advantage for benthic fish Neogobius melanostomus Pallas (1814) in flowing water?

Predicting near-term, out-of-sample fish passage, guidance, and movement across diverse river environments by cognitively relating momentary behavioral decisions to multiscale memories of past hydrodynamic experiences

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