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72 results for “fish larvae”
Fig. 4 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 4. Temporal distribution of fish larvae in marginal lagoons along the Cuiabá River between December 2006 and April 2007.
Fig. 7 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 7. Correlation of the mean larval density and precipitation in marginal lagoons along the Cuiabá River between December 2006 and April 2007.
Fig. 2 in Fish larvae assemblages in two floodplain lakes with different degrees of connection to the Paraná River, Brazil
Fig. 2. Larvae abundances for the different species in Xambrê Lake (a) and Saraiva Lake (b) in Ilha Grande National Park, upper Paraná River, during the three studied spawning seasons.
Fig. 5 in Fish larvae assemblages in two floodplain lakes with different degrees of connection to the Paraná River, Brazil
Fig. 5. Sample scores of retained axes (Axes 1, 2, and 3) from the non-metric multidimensional scaling (NMS) controlling for sites (S1 - Saraiva channel, S2 - Saraiva middle, X1 - Xambrê stream and X2 - Xambrê middle) (a; b) and spawning seasons (I, II and III) (c; d). Variation of mean scores axis for sites (e) and spawning seasons (f) in Ilha Grande National Park, upper Paraná River (s.d. = standard deviation).
Fig. 4 in Fish larvae assemblages in two floodplain lakes with different degrees of connection to the Paraná River, Brazil
Fig. 4. Variations in mean species richness (number of species) (a), evenness (E) (b) and Shannon Diversity Index (H') (c) of fish larvae per sampling for Xambrê Lake and Saraiva Lake sites (S1 - Saraiva channel, S2 - Saraiva middle, X1 - Xambrê stream and X2 - Xambrê middle) in Ilha Grande National Park, upper Paraná River, during the three studied spawning seasons (s.d. = standard deviation).
Fig. 7 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 7. Cluster dendrogram based on similarities of the samples collected in Ibiraquera Lagoon from December 2003 to December 2004. Samples were clustered by Bray Curtis similarity based on log (x+1) transformed abundances of 12 families.
Fig. 6 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 6. Two-way ANOVA interaction results for log-abundance of (a) engraulid and (b) mugilid larvae.
Fig. 5 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 5. Larvae fish families' composition in Ibiraquera Lagoon over 13 months, from December 2003 to December 2004.
Fig. 4 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 4. Fish larvae (a) dominance and (b) frequency of occurrence in Ibiraquera Lagoon, from December 2003 to December
Fig. 2 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 2. Hydrographic conditions in Ibiraquera Lagoon from December 2003 to December 2004. (a) Water temperature (°C), (b) mean salinity variation, (c) total monthly rainfall (mm).
Fig. 1 in Spatial and temporal distribution of fish eggs and larvae in a subtropical coastal lagoon, Santa Catarina State, Brazil
Fig. 1. The location of Ibiraquera Lagoon on the southern Brazilian coast with its four stations in detail (Saco, Baixo, Meio and Cima).
Fig. 6 in Fish larvae from the upper Paraná River: Do abiotic factors affect larval density?
Fig. 6. Conceptual model showing the relationships among abiotic factors, species larvae and areas (arrow directions on axis show increasing values of abiotic factors).
Fig. 3 in Fish larvae from the upper Paraná River: Do abiotic factors affect larval density?
Fig. 3. Mean scores (rectangles) and standard error (bars) (Axis 1=a and Axis 2=b of the Detrended Correspondence Analysis; DCA), derived from the larva density matrix for the different areas (AMA= Amambaí River, IVA= Ivaí River, PAR= Paraná River and RES= Itaipu Reservoir).
Fifty-year study of microplastics ingested by brachyuran and fish larvae in the central English North Sea - Data
<p>Data for the publication "Priscilla Carrillo-Barragan; Clare Fitzsimmons; Hannah Lloyd-Hartley; Ashleigh Tinlin-Mackenzie; Catherine Scott; Heather Sugden, 2024. Fifty-year study of microplastics ingested by brachyuran and fish larvae in the central English North Sea. Environmental Pollution. DOI: <a href="https://doi.org/10.1016/j.envpol.2023.123060">10.1016/j.envpol.2023.123060</a></p>
Fig.1 in Infection Of Predatory Fish With Larvae Of Eustrongylides Excisus (Nematoda, Dioctophymatidae) In The Delta Of The Dnipro River And The Dnipro-Buh Estuary In Southern Ukraine
Fig.1. Sites of the material collection.
Fig. 6. S in Infection Of Predatory Fish With Larvae Of Eustrongylides Excisus (Nematoda, Dioctophymatidae) In The Delta Of The Dnipro River And The Dnipro-Buh Estuary In Southern Ukraine
Fig. 6. S-shaped bend of intestinal tube in E. еxcisus larva from perch. x400 magniFIcatoin.
Figure 1 in Fish larvae assemblages of Gökçeada Island, North Aegean Sea: effect of weekly sampling interval on their incidences
Figure 1. Map of the sampling location on Gökçeada Island, North Aegean Sea.
Figure 2 in Fish larvae assemblages of Gökçeada Island, North Aegean Sea: effect of weekly sampling interval on their incidences
Figure 2. Temporal variations of sea surface temperature and salinity at the sampling location.
Figure 3 in Fish larvae assemblages of Gökçeada Island, North Aegean Sea: effect of weekly sampling interval on their incidences
Figure 3. Temporal variations of Shannon_H biodiversity indices and dominance.
Data from: Crypsis in the pelagic realm: evidence from exceptionally preserved fossil fish larvae from the Eocene Stolleklint Clay of Denmark
<p>Marine deposits of earliest Eocene age in northern Jutland, Denmark, are renowned for yielding diverse teleost assemblages that have proved central for enhancing our understanding of the early evolution of many extant actinopterygian clades. In this study, we investigate diminutive larval fish fossils from the Stolleklint Clay<b>,</b> Ølst Formation, that retain multiple soft-tissue features preserved as distinct dark-coloured stains. In order to examine the elemental and molecular composition of these soft parts, we employed a combination of time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS). Our analyses revealed that the preserved structures contain chemically identifiable eumelanin intimately associated with densely aggregated microbodies that are morphologically consistent with melanosome organelles. Thus, we conclude that the carbonaceous structures represent traces of originally melanized body parts, including the eyes and peritoneum. Comparable pigmentation patterns are seen in many extant teleost larvae that use semi-transparency as a means of camouflage in pelagic environments, to suggest a similar visual appearance of the Stolleklint Clay fish fossils. This in turn suggests that adaptations for concealment and UV-protection had evolved already by the beginning of the Eocene, notably during a time interval characterized by an extreme greenhouse climate, when the global fish fauna become increasingly modern in composition.</p>
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International Brain Laboratory public data
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OpenNeuro
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