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Analyzing fish leaping and movement potential at a migratory barriers: Michigan 2022-2025
The enclosed Matlab scripts and supporting files are used for fish passage assessments at small migratory barriers with complex geometry. Building upon a 2-D ballistic trajectory mathematical model, the model incorporates field-derived behavioral parameters and simulated flow data to evaluate the likelihood of successful leaping attempts. The model integrates stochastic variation in key fish characteristics—such as body length, launch speed, and leap origin—to simulate a range of realistic leaping scenarios. These are coupled with three-dimensional, CFD-derived inputs for local water velocity and depth, enabling a spatially detailed assessment of hydraulic conditions that are most conducive to successful passage. This integrated approach provides a more comprehensive and biologically informed evaluation of passage potential at migratory barriers. To demonstrate its utility, the model is applied in a case study examining the influence of complex barrier geometry on fish passage outcomes, highlighting its potential to inform engineering design decisions that either facilitate or limit fish movement based on management objectives. The enclosed files are associated with steelhead passage at a arc-labyrinth and low-flow weir at the FishPass project, located on the Boardman/Ottaway River, MI, USA.
Fig. 2 in Movement and longitudinal distribution of a migratory fish (Salminus brasiliensis) in a small reservoir in southern Brazil
Fig. 2. Total time spent by dourados (Salminus brasiliensis) in the reservoir (Tin), total time spent in an unknown location (Tun) and total time spent outside of the reservoir in a stretch of the upstream Erechim river (Tout). ANOVA with permutation tested for differences among groups (F(2,54) = 87.17; p <0.0002). The numbers above the plots represent the number of individuals. Different letters above the plots represent significant differences according to Tukey's test. Circles represent outlier values; the heavy horizontal line crossing the box is the median; the bottom and top of the box are the lower and upper quartiles, respectively; and the whiskers are the minimum and maximum values.
Fig. 6 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 6. Regressions between radius of each increments and increments growth estimated in Prochilodus nigricans from Solimões (red), Japurá (blue) and Negro (black) Amazon Basin, Brazil.
Fig. 5 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 5. Canonical variate analysis of the organized data of the analysis cluster. Representation the four different morphotypes of asteriscus otoliths of Prochilodus nigricans. (red cross) Morphotype 3; (blue square) Morphotype 2; (purple asterisk) Morphotype 4; (green ex) Morphotype 1.
Fig. 4 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 4. Four morphotype asteriscus otolith Prochilodus nigricans established by cluster analysis from the amplitudes of wavelets. a. morphotype 1; b. morphotype 2; c. morphotype 3 and d. morphotype 4 respectively, sampled of rivers Solimões, Japurá and Negro. Scale bars: 1 mm.
Fig. 1 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 1. Partial map of the Amazon basin showing the study area where Prochilodus nigricans were collected. Rivers: Solimões, Japurá and Negro, Brazil.
Fig. 3 in The roles of marginal lagoons in the maintenance of genetic diversity in the Brazilian migratory fishes Prochilodus argenteus and P. costatus
Fig. 3. Dendrogram representing the chord genetic distance among sampling groups of Prochilodus costatus. ABAr = rio Abaeté at rainy season; PAR = rio Paracatu lagoons; SFR = rio São Francisco lagoons; TMDd = Três Marias Dam at dry season; TMDr = Três Marias Dam at rainy season.
Fig. 2 in The roles of marginal lagoons in the maintenance of genetic diversity in the Brazilian migratory fishes Prochilodus argenteus and P. costatus
Fig. 2. Dendrogram representing the chord genetic distance among sampling groups of Prochilodus argenteus. ABAr = rio Abaeté at rainy season; CAR = rio Carinhanha lagoons; JEQ = rio Jequitaí lagoons; PAR = rio Paracatu lagoons; SFR = rio São Francisco lagoons; URU = rio Urucuia lagoons; VEL = rio das Velhas lagoons; TMDd = Três Marias Dam at dry season; TMDr = Três Marias Dam at rainy season.
Fig. 1 in The roles of marginal lagoons in the maintenance of genetic diversity in the Brazilian migratory fishes Prochilodus argenteus and P. costatus
Fig. 1. Map showing the central portion of the rio São Francisco basin and the distribution of the samples of Prochilodus argenteus (yellow) and of P. costatus (black). The circles represent marginal lagoons from tributaries, squares represent marginal lagoons from the rio São Francisco, and triangles represent places in the mainstream rio São Francisco in the Três Marias region. ABA = rio Abaeté; CAR = rio Carinhanha lagoons; JEQ = rio Jequitaí lagoons; PAR = rio Paracatu lagoons; SFR = rio São Francisco lagoons; URU = rio Urucuia lagoons; VEL = rio das Velhas lagoons; TMD = Três Marias Dam.
Figure 2 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 2. – Boxplot showing the abundance of migratory (galbre; Galaxias brevipinnis) and non-migratory (galpau; G. paucispondylus and galvul; G. vulgaris) species at sites upstream of lakes (n = 18) and sites without lakes (n = 8). Boxplots show medians (horizontal line), 25th and 75th percentiles (upper and lower box limits), maximum and minimum values (bars), and mean (red dots). Outliers are presented by black circles.
Figure 1 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 1. – Map of survey sites, including sites upstream of Lakes Ohau, Pukaki and Tekapo (white boxes), and non-lake stream sites (grey shaded boxes). The number of fish caught at the different sites is shown within the boxes, with Galaxias brevipinnis at the top and non-migratory Galaxias spp. at the bottom of the boxes.
Figure 5 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 5. – Principal component analysis (PCA) biplot of the microhabitat environmental factors. Each dot repre- sents one sampling point. The symbols indicate sites upstream of lakes (circles) and sites without lakes (triangles), with the 95% confidence ellipses enclosing sample units from each group. Ellipses that do not overlap represent groups that differ significantly. Dim1, the first PCA axis; Dim2, the second PCA axis.
Figure 4 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 4. – Representation of size-class structure of Galaxias brevipinnis in lake tributary sites with different distance categories from their recruitment sources (lakes). Sample sizes (n) and distances (in km) are shown inside the panels.
Figure 3 in Fine-scale abundance variation in New Zealand migratory and non-migratory Galaxias fish species
Figure 3. – The relationship between square-root transformed galbre Galaxias brevipinnis and non-migratory species (galpau; G. paucispondylus) abundance with distance from the lakes.
Figure 4 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives
Figure 4. Gonadal maturation stage of migratory species during the wet (right side) and dry (left side) seasons in each group. Groups formed in the system by gonadal maturation stage: 1) immature, 2) initial maturation, 3) mature; 4) post-spawning.
Figure 1 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives
Figure 1. Geographic location and sampling sites in the Grande River Basin, Minas Gerais.Riv: River; Trans: Transition, Cam: Camargos UHE; Itu: Itutinga UHE. More sampling sites details in Table 2.
Figure 3 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives
Figure 3. Distribution of migratory fishes during wet (blue) and dry (red) seasons along the sampled system. Represented by adults (ball) and juveniles (square) in both seasons. The symbol size indicates fish abundance.
Figure 2 in Migratory fishes from rivers to reservoirs: seasonal and longitudinal perspectives
Figure 2. Variation (median ± interquartile range and amplitude) along the groups: (A) fish richness; (B) fish numeric abundance; (C) fish abundance.
FIGURE 3 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 3 | A. Salminus brasiliensis population structure from the Bayesian cluster analysis for K = 2 (see also S1). Black lines separate the different sampled populations based on location (Pop1, Pop2, Pop3, Pop4 and Pop5; Fig. 1). B. DAPC scatterplots and membership probabilities show the first two principal components of the DAPC. Populations are represented in different colors: 1 - Lilac (Pop5); 2 - Green (Pop4), 3 - Orange (Pop3), 4 - Lilac (Pop2) and 5 - Brown (Pop1). C. Membership probabilities (in bar plots), represent individuals in different clusters.
FIGURE 2 in Anthropogenic river fragmentation reduces long-term viability of the migratory fish Salminus brasiliensis (Characiformes: Bryconidae) populations
FIGURE 2 | Predicted genetic diversity in Salminus brasiliensis populations with distinct fragmentation levels over the next 100 years. Using BOTTLESIM 2.6, we estimated the retained percentage of effective number of alleles (Ae) and expected heterozygosity (He) under 100%, 75% and 50% of retain bottleneck scenarios. In all populations, the current population size is unable to maintain 80% of current genetic diveristy, which it is indicated by a red line.
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