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12,632 results for “FISH”
Fig. 1 in Growing, losing or introducing? Cage aquaculture as a vector for the introduction of non-native fish in Furnas Reservoir, Minas Gerais, Brazil
Fig. 1. Furnas Reservoir, Minas Gerais, Brazil. The circle indicates the study area (Carmo do Rio Claro town).
Fig. 3. A in Sperm ultrastructure in three different families of weakly electric fishes (Teleostei: Gymnotiformes)
Fig. 3. A: Spermatozoon of Eigenmannia trilineata (SEM), h = sperm head, arrow = flagellum, double arrow = midpiece, m = mitochondrion; B, E: Spermatozoa of E. trilineata in longitudinal section (TEM) showing ovoid nucleus (n) with flocculent chromatin, centriolar arrangement (dc= distal centriole, pc= proximal centriole), and elongate mitochondria (m), v = vesicles; C: Flagella of spermatozoa of E. trilineata in cross sections (TEM) showing axonemal or flagellar fins (af); D: Midpiece of spermatozoa of E. trilineata in cross section (TEM) showing presence of vesicles (v) and mitochondria (m), and flagellar axoneme (a) with electron-lucent tubules of each peripheral doublet. Scale bars = 1µm.
Fig. 2. A in Sperm ultrastructure in three different families of weakly electric fishes (Teleostei: Gymnotiformes)
Fig. 2. A: Spermatozoon of Gymnotus aff. carapo (SEM), h = sperm head, arrow = flagellum, double arrow = midpiece; B-C: Spermatozoa of G.aff. carapo in longitudinal section (TEM) showing spherical nucleus (n), centriolar complex and flagellum (f) lateral to the nucleus (n), double nuclear fossa (double arrow), centriolar arrangement (dc= distal centriole, pc= proximal centriole), mitochondria (m), and presence of vesicles (v) in the posterior portion of midpiece, cc = cytoplasmic canal; D: Flagella of spermatozoa of G. aff. carapo in cross section (TEM) showing electron-lucent tubules of each peripheral doublet (arrow); E: Midpiece of spermatozoon of G.aff. carapo in longitudinal section (TEM) showing short cytoplasmatic canal (cc) and vesiclular arrangement (v). Scale bars = 1µm.
Fig. 3 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 3. Bioconcentration factor (Bf) among trophic categories in the Lago Grande de Manacapuru, in the Amazon floodplain. DET, Detritivores; HER/FRU, Herbivores/Frugivores; ONI, Omnivores; ONI/FRU, Omnivores/Frugivores; ONI/INS, Omnivores/Insectivores; PLA, Planktivores; CAR/PIS, Carnivores/Piscivores; PIS, Piscivores; CAR/NEC, Carnivores/Necrophagous.
Fig. 2 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 2. Mean levels of total mercury in fish from different trophic categories in the Lago Grande de Manacapuru, in the Amazon floodplain. DET, Detritivores; HER/FRU, Herbivores/ Frugivores; ONI, Omnivores; ONI/FRU, Omnivores/ Frugivores; ONI/INS, Omnivores/Insectivores; PLA, Planktivores; CAR/PIS, Carnivores/Piscivores; PIS, Piscivores; CAR/NEC, Carnivores/Necrophagous.
Fig. 1 in Dynamics of fish assemblages on a continuous rocky reef and adjacent unconsolidated habitats at Fernando de Noronha Archipelago, tropical western Atlantic
Fig. 1. Map of the Fernando de Noronha Archipelago showing the study area (Porto Beach) and permanent sampling stations.
Fig. 3 in Dynamics of fish assemblages on a continuous rocky reef and adjacent unconsolidated habitats at Fernando de Noronha Archipelago, tropical western Atlantic
Fig. 3. Canonical plotting of microhabitat characteristics (arrows) and fish species (points). Rug.: rugosity; Crev.: number of crevices; S. height: substratum height; C. algae: percent cover of encrusting coralline algae; Macr.: percent cover of Macroalgae; Turf: percent cover of turf algae; L. coral: percent cover of live coral; Other: percent cover of other organisms; B. rock: percent cover of bare rock; Sand: percent cover of sand and limestone; IHC: index of habitat complexity; Species names are abbreviated as the first three letters of genus and first three letters of specific epithet (see Table 4 for full scientific names).
Genomic and environmental influences on resilience in a cold‐water fish near the edge of its range
<p>Small, isolated populations present a challenge for conservation. The dueling effects of selection and drift in a limited pool of genetic diversity make the responses of small populations to environmental perturbations erratic and difficult to predict. This is particularly true at the edge of a species range, where populations often persist at the limits of their environmental tolerances. Populations of cisco, <i>Coregonus artedi</i>, in inland lakes have experienced numerous extirpations along the southern edge of their range in recent decades, which are thought to result from environmental degradation and loss of cold, well-oxygenated habitat as lakes warm. Yet, cisco extirpations do not show a clear latitudinal pattern, suggesting that local environmental factors and potentially local adaptation may influence resilience. Here, we used genomic tools to investigate the nature of this pattern of resilience. We used restriction site-associated DNA capture (Rapture) sequencing to survey genomic diversity and differentiation in southern inland lake cisco populations and compared the frequency of deleterious mutations that potentially influence fitness across lakes. We also examined haplotype diversity in a region of the major histocompatibility complex involved in stress and immune system response. We correlated these metrics to spatial and environmental factors including latitude, lake size, and measures of oxythermal habitat and found significant relationships between genetic metrics and broad and local factors. High levels of genetic differentiation among populations were punctuated by a phylogeographic break and residual patterns of isolation-by-distance. Although the prevalence of deleterious mutations and inbreeding coefficients was significantly correlated with latitude, neutral and non-neutral genetic diversity were most strongly correlated with lake surface area. Notably, differences among lakes in the availability of estimated oxythermal habitat left no clear population genomic signature. Our results shed light on the complex dynamics influencing these isolated populations and provide valuable information for their conservation.</p>
Figure 89 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 89: Reconstruction of the maximum glacial extent during the high point of the last ice-age (26 – 20 thousand years ago). Figure adapted from the publication Geologische Bundesanstalt (Hrsg.) (2013): Der Alpenraum zum Höhepunkt der letzten Eiszeit – Posterkarte. Geologische Bundesanstalt, Wien.
Figure 90 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 90: Representation of the seasonal cycle of stratification and mixing in a dimictic lake throughout a year.
Figure 88 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 88: Water temperature in lakes of the Po river catchment (orange) were generally warmer than in lakes of the Rhone (green) and Rhine (red) catchments. The lakes on the northern edge of the Alps remain cooler in summer and the lakes in the south remain warmer in winter. Upper panel shows 95 % quartile and lower panel shows 5% quartile of monthly mean lake surface water temperatures based on remote sensing (Advanced Very High Resolution Radiometer; 1989 – 2014 [214]). Quar- tiles were used rather than true minimum/maximum to avoid the effects of outliers.
Figure 85 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 85: Histograms showing variation in lake surface area (left column), lake maximum depth (middle column) and height above sea level (altitude; right column) among the major catchments.
Figure 84 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 84: Distance among lakes by river in the Rhine (upper panel), Rhone (middle panel) and Po (lower panel) river catchments.
Figure 81 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 81: Depth distribution of fish weight (biomass per unit effort) in pelagic habitats to 50 m deep according to deep-set vertical nets (fish in the 3 m of net close to the lake floor were excluded).
Figure 82 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 82: Factors explaining differences in the fish species composition among pairs of lakes within each catchment. No clear driver of fish community composition emerged in the Rhone catchment. In the Rhine catchment, the distance between the lakes along rivers, as well as differences in altitude, explained differences in the species composition between lakes. Al- titude explained differences in fish species composition among lakes in the Po catchment (also when Poschiavo was excluded).
Figure 79 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 79: Proportion of non-native species by deep-set vertical nets among lakes. Native species are represented in grey. Upper panel shows proportion by abundance, lower panel proportion by biomass. The high relative biomass of this species in Upper Upper is one 7.5 kg fish.
Figure 83 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 83: The uniqueness of the lake fish community relative to the number of recorded native fish species (shown in left panel of Figure 25) compared with different apects of the lakes. Only the relationship for maximum total phosphorus was significant (R2 = 0.248, p = 0.013), and negative. Note that the horizontal axis of the plots of maximum depth, total phosphorus and maximum total phosphorus is displayed on a log scale. Lake surface area has been square-root transformed.
Figure 80 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 80: Depth distribution of fish weight (biomass per unit effort) in benthic habitats to 50 m deep according to CEN benthic nets.
Figure 77 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 77: Proportion of non-native species in benthic habitats shown by benthic CEN nets among lakes. Native species are represented in grey. Upper panel shows proportion by abundance, lower panel proportion by biomass. Note that the high relative abundance and biomass of Salmo trutta in Poschiavo is uncertain. These were mainly juvenile trout that could not be confidently identified to species and were assumed to be S. trutta for the purpose of this comparison.
Figure 87 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 87: The surface waters of lakes closer to sea level (lower altitude) were warmer in the cooler months (left), while the surface waters of higher elevation lakes tended to be cooler in the warmer months (right). Smaller lakes also tended to be cooler in winter (data not shown). Monthly mean lake surface water temperatures based on remote sensing (Advanced Very High Resolution Radiometer; 1989 – 2014 [214]). The 5% quartiles were used to avoid the effects of outliers.
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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.