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72 results for “Fish larvae”
CALCOFI fish larvae at 66 standard stations, 1966 - ongoing
The fish larvae (ichthyoplankton) survey is conducted through the California Cooperative Fisheries Investigations program (CALCOFI, http://www.calcofi.org/). These data are a time series of fish larvae counts (or density, as number per 10 square meter of ocean surface) collected in the area of the California Current between San Diego and Avila Beach, California. Original data were filtered to facilitate consistent comparisons over time and space. The original CalCOFI fish larvae count data is available from the CoastWatch West Coast Regional Node (WCRN) at NOAA’s Pacific Fisheries Environmental Laboratory, http://coastwatch.pfeg.noaa.gov/erddap/tabledap/index.html. The dataset presented here is an aggregation of 31 data files, originally divided alphabetically by taxon (named “CalCOFI Larvae Counts, Scientific Names * to *”). The data were filtered to include only the 66 core stations with a maximum of 1 cruise per season. These 66 core stations have been most frequently sampled in the past and sampling is ongoing. CalCOFI sampling began in 1949. However, the dataset presented here begins in 1966 to include only samples that were analyzed with techniques that apply the most current and accurate identification of larvae to the species level. As the backlog of samples (i.e., before 1966) is re-examined, this dataset will be augmented with that additional, earlier data.
fish larvae abundance as a function of oceanographic variables in GoM deep waters
<p>We describe the larval occurrence and abundance of six fish species with contrasting life histories and examine their relationship with oceanographic variables during two seasons in the deep-water region (>1000 m) of the southern Gulf of Mexico based on 12 cruises (2011-2018). Given that <em>Caranx crysos</em> adults are neritic, larval presence close to the continental shelf indicates offshore cross-shelf transport to oceanic waters, which likely leads to mortality. Generalized additive models indicated <em>C. crysos</em> abundance was not related with oceanographic variables, while that of Auxis spp. (with neritic and oceanic adults) was related to wind speed, sea surface temperature and height and surface chlorophyll a. The mesopelagic <em>Benthosema suborbitale</em>, <em>Notolychnus valdiviae</em> and <em>Bregmaceros atlanticus</em> were more abundant and broadly distributed, and higher abundance was found in conditions indicative of higher nutrient availability and productivity, suggesting greater feeding success and survival. The distribution of the epi- and mesopelagic <em>Cubiceps pauciradiatus</em> extended through the southern Gulf of Mexico, and was related to wind speed, SST, stratification and chlorophyll a. Our results suggest that the abundance of the neritic species in oceanic waters could be mediated by regional cross-shelf transport, while that of oceanic species is linked with productivity.</p>
Fig. 6 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil
Fig. 6. Temporal (a) and spatial (b) frequency of occurrence of the seven most abundant taxa of fish larvae captured in the headwaters of the Cuiabá River between November 2007 and March 2008.
Fig. 2 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil
Fig. 2. Temporal (a) and spatial (b) distribution of density (individuals/10m3) of fish eggs and larvae captured in the headwaters of the Cuiabá River, in all the collection sites, between November 2007 and March 2008.
Fig. 5 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. 5. Anterior end of the body of E. еxcisus larva from pike. Arrows show two circles of papillae. x400 magniFIcatoin.
FIGURE 4 in Dynamics of fish larvae recruitment in the hydrographic basin of the Paraguay River in western Brazil
FIGURE 4 | Bipartite plot showing the relationship between the larval densities of the commercially valuable migratory fish species (in orange) and the sampling sites (in brown). The width of the bars is proportional to the number of interactions, that is, the abundance of larvae. The bands (gray) and lines (black) reflect the species-sites connections, with the broader bands representing greater larval densities, while the lines represent the interactions of the species with the sampling sites. Bh = Brycon hilarii; Hp = Hemisorubim platyrhynchos; Pm = Piaractus mesopotamicus; Pl = Prochilodus lineatus; Pspp = Pseudoplatystoma spp.; Sb = Salminus brasiliensis; Sl = Sorubim lima; Zj = Zungaro jahu; Sites: 1 = Cabaçal River site 1; 2 = Cabaçal River site 2; FOR = Formoso River; 4 = Jauru River; 6 = Paraguay River; 7 = Sepotuba River site 1; 8 = Sepotuba River site 2; 9 = Sepotuba River site 3; 10 = Vermelho River.
FIGURE 3 in Dynamics of fish larvae recruitment in the hydrographic basin of the Paraguay River in western Brazil
FIGURE 3 | Results of the Principal Coordinates Analysis (PCoA) based on the Bray-Curtis dissimilarity matrix of the taxonomic composition of the fish larvae in relation to the months sampled in the upper Paraguay River basin in Mato Grosso State, western Brazil. OCT = October (black circle), NOV = November (red circle), DEC = December (green circle), JAN = January (black triangle), FEB = February (red triangle), MAR = March (green triangle).
FIGURE 2 in Dynamics of fish larvae recruitment in the hydrographic basin of the Paraguay River in western Brazil
FIGURE 2 | Results of the Principal Coordinates Analysis (PCoA) based on the Bray-Curtis dissimilarity matrix of the taxonomic composition of the fish larvae in relation to the sites sampled in the upper Paraguay River basin in Mato Grosso State, western Brazil. CAB1 = Cabaçal River site 1 (closed black circle); CAB2 = Cabaçal River site 2 (closed red circle); FOR = Formoso River (black triangle); JAU = Jauru River (red asterisk); JUB = Juba River (blue triangle); PAR = Paraguay River (black cross); SEP1 = Sepotuba River site 1 (open black circle); SEP2 = Sepotuba River site 2 (open red circle); SEP3 = Sepotuba River site 3 (open green circle); VERN = Vermelho River (red square).
FIGURE 1 in Dynamics of fish larvae recruitment in the hydrographic basin of the Paraguay River in western Brazil
FIGURE 1 | Study area in the Brazilian upper Paraguay River basin in the Brazilian state of Mato Grosso, sampled during the 2017/18 and 2018/2019 breeding seasons. CAB1 = Cabaçal River site 1; CAB2 = Cabaçal River site 2; FOR = Formoso River; JAU = Jauru River; JUB = Juba River; PAR = Paraguay River; SEP1 = Sepotuba River site 1; SEP2 = Sepotuba River site 2; SEP3 = Sepotuba River site 3; VERN = Vermelho River. The overlap of the FOR/SEP1, JUB/SEP2 and SEP3/PAR sites corresponds to the proximity of the collected water bodies.
Fig. 3 in Temporal variability of fish larvae assemblages: influence of natural and anthropogenic disturbances
Fig. 3. Principal Components Analysis of the environmental variables' matrixes recorded in the upper Uruguay River between October 2001 and March 2004. Sampling sites: LIG: Ligeiro, ULIG: Uruguay-Ligeiro, CH: Chapecó and UCH: Uruguay-Chapecó. Reproductive Periods: RP1: First Reproductive Period, RP2: Second Reproductive Period and RP3: Third Reproductive Period.
Fig. 2 in Temporal variability of fish larvae assemblages: influence of natural and anthropogenic disturbances
Fig. 2. Abundance of fish larvae in different stages of development recorded in the sampling sites of the upper Uruguay River from October 2001 to March 2004. Larval development stages: LY = Larval Yolk; PF = Pre-flexion; FL = Flexion and FP = Post-flexion. Sampling sites: LIG: Ligeiro, ULIG: Uruguay-Ligeiro, CH: Chapecó and UCH: Uruguay- Chapecó. Reproductive Periods: RP1: First Reproductive Period, RP2: Second Reproductive Period and RP3: Third Reproductive Period.
Fig. 1 in Temporal variability of fish larvae assemblages: influence of natural and anthropogenic disturbances
Fig. 1. Location of the sampling sites in the upper Uruguay River in southern Brazil. Samplings sites: LIG: Ligeiro, ULIG: Uruguay-Ligeiro, CH: Chapecó, UCH: Uruguay-Chapecó.
Fig. 3 in Passage of fish larvae and eggs through the Funil, Itutinga and Camargos Reservoirs on the upper Rio Grande (Minas Gerais, Brazil)
Fig. 3. Variation in mean water residence time (days) and estimated number of eggs and larvae per second reaching the Funil (a) and Itutinga-Camargos (b) Reservoirs from November 2008 to March 2009.
Fig. 1 in Passage of fish larvae and eggs through the Funil, Itutinga and Camargos Reservoirs on the upper Rio Grande (Minas Gerais, Brazil)
Fig. 1. Locations of sampling stations in the upper rio Grande basin upstream of the Furnas Reservoir (Minas Gerais State, Brazil). RGI = immediately downstream of the Funil Dam; RGII = immediately upstream of the Funil Reservoir; RGIII = immediately downstream of the Itutinga Dam; RGIV = immediately upstream of the Camargos Reservoir; RCA = Capivari River; RM = Mortes River; and RA = Aiuruoca River.
Fig. 2 in Passage of fish larvae and eggs through the Funil, Itutinga and Camargos Reservoirs on the upper Rio Grande (Minas Gerais, Brazil)
Fig. 2. Box plot of the number of eggs (a) and larvae (b) per second reaching the upstream and downstream regions of the Funil and Itutinga-Camargos Reservoirs from November 2008 to March 2009. Small open dots represent the tributaries sampled; triangles represent the reservoirs; black dots represent sites where numbers of eggs and larvae were estimated; and arrows represent the direction of flow (JF = downstream of the Funil Dam; MF = upstream of the Funil Reservoir; JIC = downstream of the Itutinga-Camargos Dam; and MIC = upstream of the Itutinga-Camargos Reservoir).
Fig. 8 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 8. Mean fish larvae density as a function of Rotifera and Copepoda density in marginal lagoons along the Cuiabá River between December 2006 and April 2007.
Fig. 6 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 6. Correlation of the mean density of fish larvae with: (a) Mean depth of the lagoons during the sampled periods; (b) Fluviometric level of the Cuiabá River during those periods; (c) Mean zooplankton density during those periods; and (d) Mean water transparency of the lagoons during the sampling periods.
Fig. 3 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 3. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006 as a function of: (a) Sampling point (1 = entrance, 2 = middle, 3 = end of lagoon, 1.1 = entrance of channel and 1.2 = end of channel, only in lagoons that present this characteristic); (b) Frequency of occurrence of the four taxa with the highest densities; and (c) Developmental stages.
Fig. 1 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 1. Location of sampling sites in the floodplain of Cuiabá River, Pantanal, Mato Grosso State, Brazil.
Fig. 2 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil
Fig. 2. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006.
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