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Fig. 5 in Total mercury in the fish Trichiurus lepturus from a tropical estuary in relation to length, weight, and season
Fig. 5. Correlation (n = 81) between rainfall (mm) and log (µgHg-T.kg-1 in the muscle) of Trichiurus lepturus from the Goiana Estuary (1 = dry season 1 - November and December 2005, January 2006; 2 = end of the rainy season - August to October 2006; 3 = dry season 2 - November and December 2006, January 2007).
Fig. 3 in How does diet influence the reproductive seasonality of tropical freshwater fish? A case study of a characin in a tropical mountain river
Fig. 3. Non-Metric Multi-Dimensional Scaling Ordination (NMDS) of monthly variations of the diet with respect to sex. Stress = 0.10. Filled symbols are the dry months.
Fig. 2 in How does diet influence the reproductive seasonality of tropical freshwater fish? A case study of a characin in a tropical mountain river
Fig. 2. Monthly variation of prey types-IRI values. Rainfall follows a bimodal seasonal pattern (shadow on background). The asterisks show the months in which reproduction occurs.
Fig. 1 in How does diet influence the reproductive seasonality of tropical freshwater fish? A case study of a characin in a tropical mountain river
Fig. 1. Ontogenetic and intersexual variation in the diet of Creagrutus guanes. Size classes correspond to standard length ranges: 3 = 21-30 mm; 4 = 31-40 mm; 5 = 41-50 mm; 6 = 51-60 mm; 7 = 61-70mm; 8 = 71-80mm.
Figure 1 in Length-weight relationships of 19 fish species from two tropical artificial reservoirs (Manantali and Selingue) in Mali, West Africa
Figure 1. – Situation map (top) and detailed map (bottom) of the two Malian lakes studied: (A) Manantali, (B) Sélingué.
Fig. 3 in Fish assemblages along a morphodynamic continuum on three tropical beaches
Fig. 3. Variation in the mean number of individuals (CPUE average ±SE), biomass (±SE) and number of species (±SE) at Mamanguape River estuary in Brazil.
Fig. 1 in Fish assemblages along a morphodynamic continuum on three tropical beaches
Fig. 1. Map of Mamanguape River estuary with locations of the sampling sites: CPO, Curva do Pontal Beach; PON, Pontal Beach; and CAM, Campina Beach.
Fig. 1 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 1. Map indicating the location of the study area (rio Mamanguape estuary) on the coast of northeastern Brazil. CMR= Camboa da Marcação; CMA= Camboa dos Macacos; CTA= Camboa dos Tanques; CPO= Curva do Pontal Beach; PON= Pontal Beach; CAM= Campina Beach.
Fig. 2. A in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 2. A representative species, Menticirrhus littoralis, with sixteen morphological variables: total length (TL), standard length (SL), body height (BH), mean body height (MHB), body width (BW), head length (HL), head height (HH), relative eye height (ERH), pectoral fin length (PFL), pectoral fin width (PFW), caudal fin height (CFH), caudal peduncle length (CPL), caudal peduncle height (CPH), caudal peduncle width (CPW), mouth width (WM) and mouth height (HM).
Determinants of Reef Fish Assemblages on Tropical Oceanic Islands
<p><strong>ABSTRACT</strong></p> <p>Diversity patterns are determined by biogeographic, energetic, and anthropogenic factors, yet few studies have combined them into a large-scale framework in order to decouple and compare their relative effects on fish faunas. Using an empirical dataset derived from 1527 underwater visual censuses (UVC) at 18 oceanic islands (five different marine provinces), we determined the relative influence of such factors on reef fish species richness, functional dispersion, density and biomass estimated from each UVC unit. Species richness presented low variation but was high at large island sites. High functional dispersion, density, and biomass were found at islands with large local species pool and distance from nearest reef. Primary productivity positively affected fish richness, density and biomass confirming that more productive areas support larger populations, and higher biomass and richness on oceanic islands. Islands densely populated by humans had lower fish species richness and biomass reflecting anthropogenic effects. Species richness, functional dispersion, and biomass were positively related to distance from the mainland. Overall, species richness and fish density were mainly influenced by biogeographical and energetic factors, whereas functional dispersion and biomass were strongly influenced by anthropogenic factors. Our results extend previous hypotheses for different assemblage metrics estimated from empirical data and confirm the negative impact of humans on fish assemblages, highlighting the need for conservation of oceanic islands.</p> <p><strong><em>Keywords:</em></strong> species richness, functional dispersion, density, fish biomass, biogeographic factors, energetic factors, anthropogenic factors, marine provinces<em>.</em></p>
Fig. 4 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 4. Spearman correlation (ρ = -0.68; p = 0.02) between W and PCoA1, Pirapó River basin, Maringá City, Paraná state, Brazil (White squares, urban streams; black Diamond, rural streams)(1, RibeirÃo Maringá; 2, Miosótis; 3, Mandacaru; 4, Roseira; 5, Granada; 6, Lombo; 7, ZaÚna; 8, Remo; 9, Romeira; 10, Água QueÇaba).
Fig. 2 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 2. Ordination of two aXes generated by the principal coordinates analysis (PCoA) applied to the environmental data of Urban (white squares) and Rural streams (black diamond) of Maringá, Paraná, Brazil (1, RibeirÃo Maringá; 2, Miosótis; 3, Mandacaru; 4, Roseira; 5, Granada; 6, Lombo; 7, ZaÚna; 8, Remo; 9, Romeira; 10, Água QueÇaba).
Fig. 3 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 3. Accumulation curves of abundance (white circles) and biomass (black circles) to show the ABC method and values of W indeX for fish assemblages sampled in the streams of Maringá, Paraná, Brazil. Negative values of W suggest environmentally stressed (following WARWICK & CLARKE, 1994) ecosystems, and positive values indicate not stressed environments.
Fig. 1 in Environmental assessment in tropical streams by using abundance-biomass curves and W index in fish assemblages
Fig. 1. Streams sampled in Maringá (PR), South Brazil: 1, RibeirÃo Maringá (51°58'8.00"W/ 23°22'28.09"S); 2, Miosótis (51°55'52.29"W/23°20'39.82"S); 3, Mandacaru (51°56'49.16"W/ 23°23'5.01"S); 4, Roseira (51°54'50.45"W/ 23°21'2.26"S); 5, Granada (51°45'39.95"W/ 23°18'5.26"S); 6, Lombo (51°58'7.07"W/ 23°18'49.53"S); 7, ZaÚna (51°50'55.11"W/ 23°23'41.99"S); 8, Remo (52°1'0.75"W/ 23°21'27.09"S); 9, Romeira (51°58'9.55"W/ 23°21'40.40"S); 10, Água QueÇaba (51°53'28.78"W/ 23°19'22.24"S). White circles represent rural streams; black circles represent urban streams; gray area is the urban perimeter; and dark gray are forest fragments.
Fig. 1 in Habitat heterogeneity on feeding habit of two sympatric and congeneric characidae fishes in two tropical reservoirs
Fig. 1. NMDS plot showing relation of food item abundance found in the diet of Astyanax aff. bimaculatus Linnaeus, 1758 and A. parahybae Eigenmann, 1908 in Lajes and Santana reservoirs, state of rio de Janeiro, Brazil (Ap, Astyanax parahybae; Ab, Astyanax aff. bimaculatus; Ljs, Lajes; Snt, Santana).
Fig. 1 in Environmental constraints structuring fish assemblages in riffles: evidences from a tropical stream
Fig. 1. Biplot of the Redundancy Analysis (RDA) of the reduced environmental model with species abundance (a) and trophic composition (b) as response variable. The first two axes of the RDA explained 92.4% of the speciesenvironment relationship and 98.1% of the trait-environment relationship. Species: Aspsp - Aspidoras sp.; Cetihe - Cetopsorhamdia cf. iheringi; Impsch - Imparfinis schubarti; Phesp - Phenacorhamdia sp.; Hypsp - Hypostomus sp.; Harpun - Harttia punctata; Apamac - Apareiodon machrisi; Chazeb - Characidium zebra; Crebri - Creagrutus britskii; Knocha - Knodus cf. chapadae.
Fish community composition in the tropical archipelago of São Tomé and Príncipe
<p>Understanding species distribution across habitats and environmental variables is important to inform area-based management. However, observational data are often lacking, particularly from developing countries, hindering effective conservation design. One such data-poor area is the Gulf of Guinea, an understudied and biodiverse region whose waters play a critical role in coastal livelihoods. To fill this gap, we conducted an extensive, national-scale Baited Remote Underwater Video Systems (BRUVS) survey in the coastal waters of the São Tomé and Príncipe archipelago (STP). From 2018 to 2020, we successfully deployed 417 benthic BRUVS, aiming to understand the effects of several environmental variables on fish community composition and diversity. Species richness and relative abundance were higher in deeper waters, on steeper slopes, and in rocky reef habitats. Nevertheless, maerl and sand habitats also hosted unique, and economically important species. Our results potentially indicate historical impacts of fishing in the archipelago, especially in São Tomé Island, where observed fishing effort is higher. Indeed, abundance of large predatory fish was low in both islands and abundance of species targeted by artisanal fisheries was lower in São Tomé than in Príncipe. Our results provide crucial information supporting the designation and future monitoring of marine protected areas in STP.</p>
FIGURE 4 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 4 | Main human-driven impacts after the 19th century and their consequences on the Doce River basin. Photos by A. Villela (Exotic species) and E. Nascimento (Mining dam collapse); the other pictures belong to the public domain (Tab. S2).
FIGURE 2 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 2 | Number of species, genera and families for fish orders in the Doce River estuary. The following orders were represented by a single species and were omitted in the figure: Anguilliformes, Atheriniformes, Aulopiformes, Beloniformes, Blenniiformes, Centrarchiformes, Cyprinodontiformes, Elopiformes, Scombriformes, Spariformes, Symbranchiformes and Syngnathiformes (illustrative taxa images from Phylopic.org).
FIGURE 1 in Fish biodiversity of a tropical estuary under severe anthropic pressure (Doce River, Brazil)
FIGURE 1 | Location of the study area in Eastern Brazil with some features detailed: A. Sandy banks; B. Marginal creek; and C. Main channel of the Doce River estuary (DRE). Photos: Helder C. Guabiroba (A; C), Alexandre Villela (B). Aerial image source: (GEOBASES, 2015).
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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.