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211 results for “tropical fishes”
Fig. 3 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 3. Factor loads from principal component analysis on ecomorphological attributes of selected fish species. CI = compression index; RH = relative height; RPL = relative peduncle length; CPCI = caudal peduncle compression index; IVF = index of ventral flattening; APFR = aspect of pectoral fin ratio; REP = relative eye position; RHL = relative head length; RMW = relative mouth width; RMH = relative mouth height; MAR = mouth aspect ratio.
Fig. 6 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 6. Diagram of Canonical Discriminant Analysis for the ecomorphological indices of the fishes grouping in habitat types in the rio Mamanguape estuary (Mudflat, Beach and Mangrove creeks).
Figure 1 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 1 Location of the sampled area within the Alagoas coast. Jaraguá fishing harbor and the fishery sites were indicated.
Figure 2 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 2 Rarefaction curves for the samples caught during dry and rain seasons using the bootstrap richness estimator.
Figures 6-9 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figures 6-9 Mean ± sd of the number of fishes, fish total length, species richness, and CPUE by climatic seasons (6); CPUE (mean ± sd) by month (7); precipitation by month (8) and wind strength by month (9).
Figures 3-4 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figures 3-4 Whittaker plot of fishes from Alagoas coast sampled during the rainy season (3) and the dry season (4).
Figure 5 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 5 Diversity profile of the dry and rain seasons on the coast of Alagoas. Alpha = 1 Emphasizes the separation of richness and diversity profile.
Figures 3-4 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figures 3-4 - Whittaker plot of fishes from Alagoas coast sampled during the rainy season (3) and the dry season (4).
Figure 2 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 2 - Rarefaction curves for the samples caught during dry and rain seasons using the bootstrap richness estimator.
Figure 1 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 1 - Location of the sampled area within the Alagoas coast. Jaraguá fishing harbor and the fishery sites were indicated.
Figure 5 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figure 5 - Diversity profile of the dry and rain seasons on the coast of Alagoas. Alpha = 1 Emphasizes the separation of richness and diversity profile.
Figures 6-9 from: Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
Figures 6-9 - Mean ± sd of the number of fishes, fish total length, species richness, and CPUE by climatic seasons (6); CPUE (mean ± sd) by month (7); precipitation by month (8) and wind strength by month (9).
FIGURE 59 continued. ITS2 in Cardicola Short, 1953 and Braya n. gen. Digenea: Sanguinicolidae) from five families of tropical Indo-Pacific fishes (
FIGURE 59 continued. ITS2 sequence alignment for putative species sequenced here.
FIGURE 6 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 6. Geographic distribution of Suite 3 Elacatinus: shallow water sponge-dwelling species.
FIGURE 8 in Fishes as living tracers of connectivity in the tropical western North Atlantic: I. Distribution of the neon gobies, genus Elacatinus (Pisces: Gobiidae)
FIGURE 8. Geographic distribution of Suite 4 Elacatinus: deep water sponge-dwelling species.
Fig. 2 in Spatial pattern of a fish assemblage in a seasonal tropical wetland: effects of habitat, herbaceous plant biomass, water depth, and distance from species sources
Fig. 2. Distribution of the relative abundance of the 49 species of fish captured in the 22 plots in Site of Long-Term Sampling (SLTS), related to the depth at each of the collection plots.
Fig. 3. Fish assemblage ordination resulting from a in Flow seasonality and fish assemblage in a tropical river, French Guiana, South America
Fig. 3. Fish assemblage ordination resulting from a CA analysis using species (a), family (b), trophic guild (c), and MOS (d) descriptors in the upstream site, Comté River. Bold text indicates the species, family, trophic guild or MOS which contributes most to axes. Dots = samples taken during high waters; triangles = samples taken during low waters. Numbers correspond to fish species in Table 1. Axis scales are indicated in the small box.
Fig. 3 in Fish assemblages of tropical floodplain lagoons: exploring the role of connectivity in a dry year
Fig. 3. Average values (± standard error) of species richness (a), density (b), and biomass (c) in connected () and disconnected () lagoons.
Distinguishing between dispersal and vicariance: A novel approach using anti-tropical taxa across the fish Tree of Life
<p><em>Aim:</em> Anti-tropical taxa are species split by the tropics into disjunct northern and southern populations. These distributions occur throughout the Tree of Life, but the mechanisms proposed to drive this pattern are debated and generally fit into two categories: dispersal and vicariance. Here we quantitatively test the prevalence of dispersal and vicariance as plausible drivers of anti-tropical marine distributions using intra-specific anti-tropical marine fishes as a model system.<br> <em>Location:</em> Primarily Indo-Pacific.<br> <em>Major Taxa Studied:</em> Marine fishes.<br> <em>Methods:</em> To test between dispersal and vicariance in latitudinally disjunct marine fishes, we used an ecological niche modeling framework to predict the spatiotemporal suitability of tropical habitats during contemporary and glacial time periods. Three different model configurations were used per species to test: (1) presence of contemporary tropical suitable habitat for northern populations, (2) the same for southern populations, (3) presence of tropical suitable habitat during the last glacial maximum for the entire species. These models were examined in an evolutionary context to determine if there was any phylogenetic signal in biogeographic predictions. Additionally, we tested if life history traits could account for biogeographic predictions.<br> <em>Results:</em> Our analyses resulted in 87 strongly supported models for 29 anti-tropical fishes across the fish Tree of Life (northern population model, southern population model, and full species model for each taxon). Model projections consistently matched predictions of vicariance in 13 fishes and 10 fishes matched predictions of dispersal regardless of thresholding approach. We failed to find any phylogenetic signal for anti-tropicality in general, or for dispersal and vicariant species specifically. Further, dispersal and vicariant tendencies were not found to be correlated with life history traits. <br> <em>Main conclusions:</em> These data quantitatively support both dispersal and vicariance as active mechanisms driving disjunct distributions in marine systems and suggest that they occur stochastically across the fish Tree of Life. This novel approach for examining dispersal and vicariance hypotheses supports the species-specific nature of biogeographic mechanisms structuring distributions, and that a "one-size-fits-all" prediction for current and future species' responses to environmental change is unlikely to be informative.</p>
Distinguishing between dispersal and vicariance: A novel approach using anti-tropical taxa across the fish Tree of Life
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