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66 results for “pelagic fish”
FIGURE 2 in Molecular cytogenetics insights in two pelagic big-game fishes in the Atlantic, the tarpon, Megalops atlanticus (Elopiformes: Megalopidae), and the sailfish, Istiophorus platypterus (Istiophoriformes: Istiophoridae)
FIGURE 2 | Karyotypes of Megalops atlanticus (Megalopidae) and Istiophorus platypterus (Istiophoridae) after Giemsa staining, C-banding and FISH procedures. The small left boxes highlight the Ag-NORs and MM+/DAPI- sites, and the right ones the 18S (red) and 5S (green) rDNA sites. Scale bar = 5 µm.
FIGURE 1 in Molecular cytogenetics insights in two pelagic big-game fishes in the Atlantic, the tarpon, Megalops atlanticus (Elopiformes: Megalopidae), and the sailfish, Istiophorus platypterus (Istiophoriformes: Istiophoridae)
FIGURE 1 | Geographic distribution map of Megalops atlanticus (Megalopidae) and Istiophorus platypterus (Istiophoridae) across the Atlantic ocean. The shaded areas represents the occurrence and the yellow stars represent the collection sites of the species.
Global gridded fishing exploitation patterns (F/FMSY) of demersal and pelagic fish
<p>Global gridded fishing mortality (F) relative to the fishing mortality that supports maximum sustainable yield (FMSY) for three fish functional types: forage fish, large pelagic fish, and demersal fish. </p> <ul> <li>Years 1841-2004</li> <li>0.5-degree spatial resolution</li> </ul> <p>Outputs can be used to simulate historical fishing patterns of pelagic and demersal fish in ecosystem models. The F/FMSY needs to be multiplied with FMSY of each fish type in the model to obtain F. FMSY will depend on fish model specification and assumptions. Outputs are also provided as a time series per functional type and LME.</p> <p>The F/FMSY timeseries are estimated using reconstructed catch data and a data limited catch assessment model for all LME × functional type combinations with intermediate and high catches. For all remaining combinations and the high seas, F/FMSY timeseries are estimated by converting nominal effort timeseries per functional type to an F/FMSY using conversion factors. The estimated F/FMSY timeseries are allocated per functional type, ecosystem, and year across a 0.5-degree spatial grid in proportion to total gridded effort in each ecosystem.</p> <p>The gridded F/FMSY are used as input into the FEISTY model forced by outputs from GFDL’s ocean model (MOM6-COBALTv2) to generate historical time series of fish biomass and catch. The catch and biomass simulated FEISTY outputs are available between 1961 and 2004 for each LME and the High seas. </p> <p><strong>Reference to the paper with full description of the analysis: </strong></p> <ul> <li>van Denderen PD, N Jacobsen, KH Andersen, JL Blanchard, C Novaglio, CA Stock, CM Petrik (submitted) Estimating fishing exploitation rates to simulate global catches and biomass changes of pelagic and demersal fish <em>Earth's Future</em> </li> </ul> <p><strong>Additional data sources:</strong></p> <ul> <li>Reconstructed fisheries catches: Watson, R. A database of global marine commercial, small-scale, illegal and unreported fisheries catch 1950–2014. <em>Sci Data</em> 4, 170039 (2017). <a href="https://doi.org/10.1038/sdata.2017.39">https://doi.org/10.1038/sdata.2017.39</a></li> <li>Novaglio, C., Rousseau, Y., Watson, R. A., & Blanchard J. L. (2024). ISIMIP3a reconstructed fishing activity data (v1.0) [data set]. ISIMIP Repository. <a href="https://doi.org/10.48364/ISIMIP.240282">https://doi.org/10.48364/ISIMIP.240282</a></li> <li>Global gridded fishing effort data reconstruction: Rousseau, Y., Blanchard, J. L., Novaglio, C., Pinnell, K., Tittensor, D. P., Watson, R. A., & Ye, Y. (2022). Global Fishing Effort [Data]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS).</li> </ul> <p> </p>
Pelagic Fish at the Barents Sea Polar Front in May 2022
<p>## Methods</p> <p>### Study area</p> <p>This dataset is the result from sampling at 5 stations at the Polar Front in the western part of the Barents Sea.</p> <p>### Time coverage</p> <p>The samples were collected between 20 May 2022 and 25 May 2022.</p> <p>### Sampling</p> <p>5 pelagic trawl samples were collected with a Harstad pelagic trawl, which has an effective height of 9-11 m and width of 10-12 m when towed at ca. 3 knots. The mesh size of the inner liner of the cod end was 10 mm. The pelagic trawl was towed at ca. 3 knots for 20-30 min and abundances were standardized by converting to catch per unit effort (expressed in kilograms per cubic meter).</p> <p>### Sample analysis</p> <p>All organisms were identified to the nearest species or genus onboard. Throughout all stations, capelin had a large size distribution, so individuals similar in length were sorted into approximate size classes (small, medium, and large). The total number and weight of each species was recorded. For large catches, subsamples of 20-30 individuals were taken with representing length distributions of the catch. The standard length, height at the anus (up to the nearest 1 mm), and weight (up to the nearest 0.1 g) were measured for all specimens in the (sub)sample.</p> <p>### Fish stomach content analysis</p> <p>The stomachs were isolated and immediately preserved in 70% ethanol. For each individual stomach, the level of fullness (from 0: empty, to 4: full), prey composition (the count and % volume each prey item takes up in the stomach), and the level of digestion for each prey item (from 1: newly eaten, to 5: digested or non-identifiable) were estimated and recorded.</p>
Isotopic niche overlap of four large pelagic predatory fish species in the northwest Atlantic ocean
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Data from: Empirical verification of feeding selectivity of larval and juvenile pelagic fishes using in situ zooplankton communities
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Niche partitioning between planktivorous fish in the pelagic Baltic Sea assessed by DNA metabarcoding, qPCR and microscopy: Data and Analyses
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Data from: Fine-scale reconstruction of pelagic fish migration by iso-logging of eye lens
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Oceanographic habitat location data to support range shift analyses for the manuscript: "Climate-driven range shifts are rapid yet variable among recreationally important coastal-pelagic fishes"
<p>This data file contains the latitudinal location of suitable oceanographic habitat for a suite of coastal-pelagic fishes off eastern Australia at monthly time-steps between 1998 and 2018. Please refer to the manuscript "Climate-driven range shifts are rapid yet variable among recreationally important coastal-pelagic fishes" for a full description of the methodologies applied to derive these data.</p>
Positive effects of fast growth on locomotor performance in pelagic fish juveniles
<p><span>Many laboratory experiments on aquatic vertebrates that inhabit closed water or coastal areas have highlighted negative effects of fast growth on swimming performance. Nonetheless, field studies on pelagic fishes have provided evidence of survival advantages of faster growing individuals. To reconcile this contradiction, we examined the relationship between growth rate and swimming performance as a continuous function for juveniles of chub mackerel (<em>scomber japonicus</em>) using 3D tracking analysis. For experiments, 20, 24, 27, and 30 days post-hatch individuals within the size range of 14.5–25.3 mm were used. We found that the growth–swimming (burst speed) relationship in chub mackerel was substantially positive and it was supported by morphological traits such as muscle area, which were also positively related with growth rate. This finding is consistent with field observations showing selective survival of fast-growing individuals of this species, reconciling the current contradiction between laboratory experiments and field observations. A dome-shaped quadratic curve described the relationship between growth rate and burst speed better than a linear or cubic function, suggesting that growth may trade off with swimming performance, as reported in many previous studies, when it is extremely fast. These results, obtained from the rarely tested offshore species, strongly suggests the importance of experimental verification using animals that inhabit various types of habitats in understanding the principles underlying the evolution of growth–locomotor relationship.</span></p>
Data from: Responses of population structure and genomic diversity to climate change and fishing pressure in a pelagic fish
<p><span>The responses of marine species to environmental changes and anthropogenic pressures (e.g. fishing) interact with ecological and evolutionary processes that are not well understood. Knowledge of changes in the distribution range and genetic diversity of species and their populations into the future is essential for the conservation and sustainable management of resources.</span><span> Almaco jack (<em>Seriola rivoliana</em>) is<em> </em>a pelagic fish with high importance to fisheries and aquaculture in the Pacific Ocean. </span><span>In this study, we assessed contemporary genomic diversity and structure in loci that are putatively under selection (outlier loci) and determined their potential functions. Utilizing a combination of genotype-environment association, spatial distribution models, and demogenetic simulations, we modeled the effects of cl</span><span>imate change (under three different RCP scenarios) and fishing pressure on the species' geographic distribution and genomic diversity and structure to 2050 and 2100.</span><span> Our results show that most of the outlier loci identified were related to biological and metabolic processes that may be associated with temperature and salinity. Contemporary genomic structure showed three populations—two in the Eastern Pacific (</span><span>Cabo San Lucas </span><span>and Eastern Pacific) and one in the Central Pacific (</span><span>Hawaii</span><span>). Future projections suggest a loss of suitable habitat and potential range contractions for most scenarios, while fishing pressure decreased population connectivity. Our results suggest that future climate change scenarios and fishing pressure will affect the genomic structure and genotypic composition of <em>S. rivoliana</em> and lead to loss of genomic diversity in populations distributed in the eastern-central Pacific Ocean, which could have profound effects in fisheries that depend on this resource.</span></p>
Deep-pelagic fishes of the world
<p>This dataset is part of the publication "Deep-pelagic fishes are anything but similar: a global synthesis" by Eduardo et al., 2024 in Ecology Letters. It comprises a comprehensive global list of deep-pelagic fishes, defined as species predominantly inhabiting pelagic zones at depths ranging from 200 to 5000 meters for the majority of their adult lives. The list was primarily compiled using FishBase and Eschmeyer's Catalog of Fishes, and further refined through several corrections derived from books, peer-reviewed scientific articles, and the expertise of the authors.</p> <p>To focus on deep-pelagic fishes, we deliberately excluded epipelagic species that occasionally dive into deep-pelagic zones (e.g., <em>Thunnus</em> <em>obesus</em> and <em>Sphyrna</em> <em>lewini</em>) and benthic and demersal fishes that are predominantly associated with the deep seafloor for most of their lives (e.g., <em>Macrourus holotrachys</em> and <em>Halosaurus ovenii</em>). </p> <p>However, there are inherent challenges in classifying certain species as deep-pelagic. For instance, we classified some sharks (e.g., <em>Etmopterus spinax</em> and <em>Scymnodalatias albicauda</em>) and bramids (<em>e.g., Brama caribbea</em> and <em>Taractichthys longipinnis) </em>as deep-pelagic based on records of specimens in deep-pelagic waters far from the seafloor. Nonetheless, they have also been recorded in epipelagic or near-bottom zones, making their ecological classification ambiguous. Consequently, we provide here a comprehensive synthesis of the world’s deep-pelagic fishes, but transparently acknowledge that the classification of some species remains subject to ongoing scientific debate and individual perspectives.</p> <p>This dataset was developed as part of the LMI TAPIOCA (<a href="https://tapioca.ird.fr/" target="_new" rel="noopener">https://tapioca.ird.fr/</a>).</p> <p> </p>
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>
The impact of varying spatiotemporal scales on different joint species distribution models: A case study of pelagic fish species in the northwest Pacific Ocean
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Positive effects of fast growth on locomotor performance in pelagic fish juveniles
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Data from: Homoploid hybrid speciation in a marine pelagic fish
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Data from: Crypsis in the pelagic realm: evidence from exceptionally preserved fossil fish larvae from the Eocene Stolleklint Clay of Denmark
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Data from: Responses of population structure and genomic diversity to climate change and fishing pressure in a pelagic fish
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Data from: Bioenergetics modeling of the annual consumption of zooplankton by pelagic fish feeding in the Northeast Atlantic
The present study uses bioenergetics modeling to estimate the annual consumption of the main zooplankton groups by some of the most commercially important planktivorous fish stocks in the Northeast Atlantic, namely Norwegian spring-spawning (NSS) herring (Clupea harengus), blue whiting (Micromesistius poutassou) and NEA mackerel (Scomber scombrus). The data was obtained from scientific surveys in the main feeding area (Norwegian Sea) in the period 2005-2010. By incorporating novel information about ambient temperature, seasonal growth and changes in the diet from stomach content analyses, annual consumption of the different zooplankton groups by pelagic fish is estimated. The present study estimates higher consumption estimates than previous studies for the three species and suggests that fish might have a greater impact on the zooplankton community as foragers. This way, NEA mackerel, showing the highest daily consumption rates, and NSS herring, annually consume around 10 times their total biomass, whereas blue whiting consume about 6 times their biomass in zooplankton. The three species were estimated to consume an average of 135 million (M) tonnes of zooplankton each year, consisting of 53-85 M tonnes of copepods, 20-32 M tonnes of krill, 8-42 M tonnes of appendicularians and 0.2-1.2 M tonnes of fish, depending on the year. For NSS herring and NEA mackerel the main prey groups are calanoids and appendicularians, showing a peak in consumption during June and June-July, respectively, and suggesting high potential for inter-specific feeding competition between these species. In contrast, blue whiting maintain a low consumption rate from April to September, consuming mainly larger euphausiids. Our results suggest that the three species can coexist regardless of their high abundance, zooplankton consumption rates and overlapping diet. Accordingly, the species might have niche segregation, as they are species specific, showing annual and inter-annual variability in total consumption of the different prey species. These estimates and their inter-annual and inter-specific variation are fundamental for understanding fundamental pelagic predator-prey interactions as well as to inform advanced multispecies ecosystem models.
No state change in pelagic fish production and biodiversity during the Eocene-Oligocene Transition
The Eocene-Oligocene (E/O) boundary ~33.9 million years ago, has been described as a state change in the Earth system marked by the permanent glaciation of Antarctica and a proposed increase in oceanic productivity. Here we quantified the response of fish production and biodiversity to this event using microfossil fish teeth (ichthyoliths) in seven deep-sea sediment cores from around the world. Ichthyolith accumulation rate (a proxy for fish biomass production) shows no synchronous trends across the E/O. Ichthyolith accumulation in the Southern Ocean and Pacific Gyre sites is an order of magnitude lower than the equatorial and Atlantic sites, demonstrating that the Southern Ocean was not a highly productive ecosystem for fish before or after the E/O. Further, tooth morphotype diversity and assemblage composition remained stable across the interval, indicating little change in the biodiversity or ecological role of open ocean fish. While the E/O boundary was a major global climate change event, its impact on pelagic fish was relatively muted. Our results support recent findings of whale and krill diversification which suggest that the pelagic ecosystem restructuring commonly attributed to the E/O transition likely occurred much later, in the late Oligocene or Miocene.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.