Swimming performance and behaviour of bighead carp (Hypophthalmichthys nobilis): Application to fish passage and exclusion criteria

Newbold, L.R.; Shi, Xiaotao; Hou, Yining; Han, Dong; Kemp, Paul S.

doi:10.1016/j.ecoleng.2016.06.119

Cited by 26 publications

(21 citation statements)

References 61 publications

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“…Based on this approach, it is possible to ensure consistency between environmental and engineering knowledge (Silva et al, 2017;Bravo-Córdoba et al, 2018). Currently the most common approach is still the traditional approach (Newbold et al, 2016) to developing criteria for the passage of fish, which mostly is based on experimental studies of fish locomotion movement and held in controlled and homogeneous hydraulic conditions. In turn, it is worth emphasizing the difficulty of working under experimental conditions, as among fish only a limited number of size classes and species are usually tested (Amaral et al, 2016;Newbold et al, 2016;Link et al, 2017;Stuart & Marsden, 2019).…”

Section: Introductionmentioning

confidence: 99%

Distribution of migratory fish in the stream (depth, velocity, body size, predators)

Chemagin¹

2019

Biosys. divers.

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In order to supplement the available information for the eco-hydraulic approach to designing fish passages, taking into account the taxonomic, dimensional structure, as well as taking into account the presence of predatory fish in the stream, the distribution of migratory fish of the boreal plain faunistic complex (Russian Federation) was studied. Three depth-velocity sections from the shore to the midstream were investigated: 5 m and 27.8 cm/s, 8 m and 44.4 cm/s, 11 m and 55.6 cm/s. Analysis of the migration distribution of fish showed that in the direction from the shore to the midstream, the proportion of representatives of Cyprinidae decreases from 41.8–24.3% and that of Percidae decreases from 25.0–18.4%. For individuals of two groups: the Acipenseridae and Lotidae, Coregonidae and Esocidae, patterns of distribution in the structure of migratory fish are opposite – their share increases with increasing speed and depth characteristics: 23.0–40.2% and 10.2–17.1%, respectively. An assessment of the dimensional structure revealed a feature of increase in the size range of fish from the shore to the midstream: the dominance of small individuals (<10 cm) in the shore area is replaced by the dominance of large fish (> 30 cm) in the area of higher speeds and depths. A significant difference in the distribution for all studied taxonomic fish groups between the shore and the midstream was shown. Thus, it has been established that for Cyprinidae during the migration period, the choice shifts in favour of minimizing energy costs, and the choice to avoid the risk of predation from individuals of the groups: Coregonidae and Esocidae, and also Percidae, shifts in favour of the former. The distribution of perch is influenced by the reduction of energy costs and the simultaneous avoidance of predation and cannibalism. For the fish group Acipenseridae and Lotidae, their predominance in the deeper area is due to their less developed visual orientation mechanism in the stream because they are bottom-living fish species.

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Section: Introductionmentioning

confidence: 99%

Distribution of migratory fish in the stream (depth, velocity, body size, predators)

Chemagin¹

2019

Biosys. divers.

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“…Installations of fishways play a major role in enabling anadromous fish migration, which has received extensive attention. Recently, many researchers have committed themselves to engaging in relevant research to more precisely quantitate the hydraulic structure of fishways [4][5][6], and others have studied fish swimming performance [7][8][9][10]. However, it is important to track the movement behavior of target fish considering the hydraulic conditions within a fishway [11][12][13], which remains a key factor in the design of mitigation technology.…”

Section: Introductionmentioning

confidence: 99%

“…If so, the above assumption implied that a fish swam with similar/ average velocity in all the pools in the model.Black carp (Mylopharyngodon piceus), grass carp (Ctenopharyngodon idella), silver carp (Hypophthalmichthys molitrix) and bighead carp (Hypophthalmichthys nobilis), herein called Asian carps, are the most commercially important freshwater fish species in China, especially in the Yangtze River basin. Asian carps are typical potamodromous fish and have typical migratory activities in spawning and nursery periods [8]. Most research has focused on the swimming performance of carps [8], and little is known about how the fish respond to hydraulic stimulus variables in fishways.…”

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Modeling Fish Movement Trajectories in Relation to Hydraulic Response Relationships in an Experimental Fishway

Tan

Lin

Gao

et al. 2018

Water

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This study developed an IBM (individual-based model) to model fish movement trajectories integrating hydraulic stimulus variables (turbulent kinetic energy (TKE), velocity (V) and strain rate (SR)) to which fish responded, and the rules for individual fish movement. The fish movement trajectories of the target fish, silver carp (Hypophthalmichthys molitrix), were applied to model fish trajectories in a 1% vertical slot fishway at a discharge of 13.5 L/s. Agreement between measured and simulated trajectories implied the plausibility of the movement rules, which illustrated that the fish movement trajectories model has the preliminary ability to track individual fish trajectories for this fishway.2 of 16 etc.). However, these models do not incorporate individual fish movement behavior with hydraulic parameters. The main challenge in modeling fish movement is linking these parameters. The hydraulic information of the fishway is regarded as a stimulus, which is the Eulerian framework, while the response of a fish to a stimulus is an individual-based framework, which can add individuals' behavior and track their movement. One advantage of the individual-based framework is its relevance to internal states, such as environmental conditions or individual heterogeneity [17][18][19][20]. Therefore, an individual-based model (IBM) approach can be applied to model fish movement trajectories in the fishway. Goodwin et al. (2006) [21] developed a model called ELAM (Eulerian-Lagrangian-agent method) using an IBM approach to model fish movement paths at a hydropower dam forebay. Later, Gao et al. (2016) [12] established an Eulerian-Lagrange fish movement model of a fishway. However, the model only considered turbulent kinetic energy (TKE) as a hydraulic stimulus factor. Validation and calibration of a model principally depends on experimental data. Therefore, it is important to consider a more refined model.Before using the IBM approach, one theory was based on the assumption that the response of fish in the experimental fishway was the same [12]. That means the physiological indices were constant, even then the physiological indices may change after a response has been made. If so, the above assumption implied that a fish swam with similar/ average velocity in all the pools in the model.Black carp (Mylopharyngodon piceus), grass carp (Ctenopharyngodon idella), silver carp (Hypophthalmichthys molitrix) and bighead carp (Hypophthalmichthys nobilis), herein called Asian carps, are the most commercially important freshwater fish species in China, especially in the Yangtze River basin. Asian carps are typical potamodromous fish and have typical migratory activities in spawning and nursery periods [8]. Most research has focused on the swimming performance of carps [8], and little is known about how the fish respond to hydraulic stimulus variables in fishways. The commonly used hydraulic parameters include flow velocity and turbulence [22,23]. It has been well recognized that the slots of fishways change the spatial distribution of th...

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“…Field tests of silver carp adults found prolonged swimming speeds of 1.09-1.23 m/s and burst speeds of 1.37-1.51 m/s or 1.9 BL/s (Hoover et al 2016;Hoover et al 2017). Juvenile bighead carp were found to have prolonged swimming speeds of 0.51 m/s (6.81 fork lengths per second; FL/s) and a burst speed of 1.22 m/s or 12.78 FL/s (Newbold et al 2016). While the data for adults and juveniles are primarily burst swimming speed instead of the somewhat slower maximum speed, adults and larger juveniles had lower relative speeds than larval carp (20-30 BL/s at early stages).…”

Section: Introductionmentioning

confidence: 99%

Peer Review #1 of "Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal (v0.1)"

2018

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Bighead, silver, and grass carps are invasive in the waterways of central North America, and grass carp reproduction in tributaries of the Great Lakes has now been documented. Questions about recruitment potential motivate a need for accurate models of egg and larval dispersal. Quantitative data on swimming behaviors and capabilities during early ontogeny are needed to improve these dispersal models. We measured ontogenetic changes in routine and maximum swimming speeds of bighead, grass, and silver carp larvae. Daily measurements of routine swimming speed were taken for two weeks posthatch using a still camera and the LARVEL program, a custom image-analysis software. Larval swimming speed was calculated using larval locations in subsequent image frames and time between images. Using an endurance chamber, we determined the maximum swimming speed of larvae (post gas bladder inflation) for four to eight weeks post-hatch. For all species, larval swimming speeds showed similar trends with respect to ontogeny: increases in maximum speed, and decreases in routine speed. Maximum speeds of bighead and grass carp larvae were similar and generally faster than silver carp larvae. Routine swimming speeds of all larvae were highest before gas bladder inflation, most likely because gas bladder inflation allowed the fish to maintain position without swimming. Downward vertical velocities of pre-gas bladder inflation fish were faster than upward velocities. Among the three species, grass carp larvae had the highest swimming speeds in the pre-gas bladder inflation period, and the lowest speeds in the post gas bladder inflation period. Knowledge of swimming capability of these species, along with hydraulic characteristics of a river, enables further refinement of models of embryonic and larval drift.

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Swimming performance and behaviour of bighead carp (Hypophthalmichthys nobilis): Application to fish passage and exclusion criteria

Cited by 26 publications

References 61 publications

Distribution of migratory fish in the stream (depth, velocity, body size, predators)

Distribution of migratory fish in the stream (depth, velocity, body size, predators)

Modeling Fish Movement Trajectories in Relation to Hydraulic Response Relationships in an Experimental Fishway

Peer Review #1 of "Ontogenetic changes in swimming speed of silver carp, bighead carp, and grass carp larvae: implications for larval dispersal (v0.1)"

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