“…This evaluation fills an important research gap by providing data on a key component required to understand the behavioural responses of fish swimming in flow: the force the flow exerts on the fish body. For example, Li et al (2021) investigated the swimming behaviour of Schizothorax prenanti (Tchang, 1930) when swimming upstream a vertical slot and found behavioural adaptation to local flow patterns. We assumed that this behavioural response to flow might depend on individual body shape characteristics of the species.…”
Migration barriers being selective for invasive species could protect pristine upstream areas. We designed and tested a prototype protective barrier in a vertical slot fish pass. Based on the individuals’ swimming responses to the barrier flow field, we assumed this barrier would block the ascension of the invasive round goby, but allow comparable native species (gudgeon and bullhead) to ascend. The barrier was tested in three steps: flow description, quantification of forces experienced by preserved fish in the flow field, and tracking the swimming trajectories of ca. 43 live fish per trial and species. The flow and the forces were homogenous over the barrier, though gudgeon experienced significantly smaller forces than round goby or bullhead. The swimming trajectories were distinct enough to predict the fish species with a random forest machine learning approach (92.16% accuracy for gudgeon and 85.24% for round goby). The trajectories revealed round goby and gudgeon exhibited increased, but varied, swimming speeds and straighter paths at higher water discharge. These results suggest that passage of round goby was prevented at 130 L/s water discharge, whereas gudgeon and bullhead could pass the barrier. Our findings open a new avenue of research on hydraulic constructions for species conservation.
“…This evaluation fills an important research gap by providing data on a key component required to understand the behavioural responses of fish swimming in flow: the force the flow exerts on the fish body. For example, Li et al (2021) investigated the swimming behaviour of Schizothorax prenanti (Tchang, 1930) when swimming upstream a vertical slot and found behavioural adaptation to local flow patterns. We assumed that this behavioural response to flow might depend on individual body shape characteristics of the species.…”
Migration barriers being selective for invasive species could protect pristine upstream areas. We designed and tested a prototype protective barrier in a vertical slot fish pass. Based on the individuals’ swimming responses to the barrier flow field, we assumed this barrier would block the ascension of the invasive round goby, but allow comparable native species (gudgeon and bullhead) to ascend. The barrier was tested in three steps: flow description, quantification of forces experienced by preserved fish in the flow field, and tracking the swimming trajectories of ca. 43 live fish per trial and species. The flow and the forces were homogenous over the barrier, though gudgeon experienced significantly smaller forces than round goby or bullhead. The swimming trajectories were distinct enough to predict the fish species with a random forest machine learning approach (92.16% accuracy for gudgeon and 85.24% for round goby). The trajectories revealed round goby and gudgeon exhibited increased, but varied, swimming speeds and straighter paths at higher water discharge. These results suggest that passage of round goby was prevented at 130 L/s water discharge, whereas gudgeon and bullhead could pass the barrier. Our findings open a new avenue of research on hydraulic constructions for species conservation.
“…Fish swimming behavior is affected by various external environmental factors and internal physical and chemical mechanisms, among which hydrodynamic motion is generally considered to be particularly important [ 4 , 21 , 22 ]. For example, juvenile Atlantic salmon smolts ( Salmo salar ) use the fine-scale flow velocity and turbulent kinetic energy within their sensory range as effective guidance information for downstream migration, and the flow direction has a key impact on fish swimming behavior [ 18 ].…”
Section: Introductionmentioning
confidence: 99%
“…Affected by cascade hydropower development, the aquatic ecological environment in the upper reaches of the Yangtze River is vulnerable, with rare and highly endemic fish species [ 32 ]. The lack of effective fish passage facilities has led to a rapid decline in the population of S. prenanti , and now they are on the verge of extinction [ 21 ]. There have been few scientific and quantitative studies of the volitional swimming ability and preferred hydrodynamic range of S. prenanti individual and schooling in Southwest China [ 33 , 34 ].…”
Spatially heterogeneous turbulent flow refers to nonuniform flow with coexisting multiple flow velocities, which is widely distributed in fish natural or husbandry environments, and its hydraulic parameters affect fish swimming behavior. In this study, a complex hydrodynamic environment with three flow velocity regions (low, medium, and high) coexisting in an open-channel flume was designed to explore volitional swimming ability, the spatial-temporal distribution of fish swimming trajectories, and the range of preferred hydrodynamic parameters of Schizothorax prenanti individual and schooling (three fish). The results showed that the swimming speed of individual fish during upstream migration was significantly higher than that of fish schools (p < 0.05). The swimming trajectories of fish schooling showed that they spent more time synchronously exploring the flow environment during upstream migration compared with individual fish. By superimposing the fish swimming trajectories on the environmental flow field, the range of hydrodynamic environments preferred by fish in complex flow fields was quantified. This research provides a novel approach for investigating the natural swimming behavior of fish species, and a theoretical reference for the restoration of fish natural habitats or flow enrichment of husbandry environments.
“…Abad et al (2015) used FLOW-3D to research the relationship between fishway inlets and downstream river channels, and make suggestions on the selection of fishway inlets and the optimization of fishway structure through k-ε model and VOF method. A comparative experiment was conducted by Li et al (2021) in vertical slot fishways to analyze the behavior of Schizothorax prenanti in response to different flow patterns, found that a flow pattern with a guide wall length-to-pool width ratio of P/B ¼ 0.25, in which it can immediately find the sidewall, is suitable for fish migration.…”
A biological particle model is used to predict the upward trajectory of fish under a dam, the biological particle model refers to a fish as a particle and considers the flow rate, velocity gradient and turbulent energy of the fish, as a condition of retrospective behaviour, a control equation is used to simplify the fish's retroactive behaviour and establish a model programmed in MATLAB to develop a fish traceability prediction program. According to the program, the upward trajectory of the fish under the dam is predicted, there are three types of up-tracking channels under the dam according to the average widths of the up-tracking channels along the right bank of the channel, along the middle of the channel, and along the left bank of the channel and the average widths are 10, 14 and 7 m, respectively. The three existing fish import locations in fishway project are evaluated, and optimization recommendations are provided, it's recommended to add a fishway inlet along the right bank of upstream channel. In addition, this paper provides a feasible technical methodology that a biological particle model can be used to predict the upward trajectory of fish in similar fishway projects.
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