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211 results for “tropical fish”
Supporting tables and figures for Cancel Villamil JJ, Locke SA (2022) - Fish assemblage response to removal of a low‐head dam in the lower reach of a tropical island river, Freshwater Biology
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Data from: Limited ecological population connectivity suggests low demands on self-recruitment in a tropical inshore marine fish (Eleutheronema tetradactylum: Polynemidae)
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Data from: Tropical ancient DNA from bulk archaeological fish bone reveals the subsistence practices of a historic coastal community in southwest Madagascar
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Data from: Is environmental legislation conserving tropical stream faunas? a large-scale assessment of local, riparian and catchment-scale influences on Amazonian stream fish
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Climate-assisted persistence of tropical fish vagrants in temperate marine ecosystems
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Structure of small tropical islands freshwater fish and crustacean communities: a niche- or dispersal-based process?
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Data from: Water and fish select for fleshy fruits in tropical wetland forests
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Data from: Incomplete datasets obscure associations between traits affecting dispersal ability and geographic range size of reef fishes in the Tropical Eastern Pacific
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Fig. 6 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 6. Weight usable area (WUA) in percentage for four species at the Velhas reach in the dry scenario (a) and in the rainy scenario (b). Highest WUA is indicated in red and lowest WUA is indicated in dark blue. The reach length is 1 km. The red line indicated the area along the reach where the habitat use was observed.
Fig. 2 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 2. Suitability curves for velocity (m/s) (a), depth (b) and channel index (c) for the four studied species at the Ve- lhas river basin.
Fig. 5 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 5. Hydrodynamic (depth and water velocity) for the Velhas reach in the dry (a) and rainy (b) scenario; and for the Curimataí reach in the dry (c) the rainy (d) scenario. The reach length is 1 km.
Fig. 8 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 8. Weight usable area in percentage of total area for four species in all scenarios and reaches. The reach length is 1 km.
Fig. 7 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 7. Weight usable area (WUA) in percentage for four species at the Curimataí reach in the dry scenario (a) and in the rainy scenario (b). Highest WUA is indicated in red and lowest WUA is indicated in dark blue. The reach length is 1 km. The red line indicated the area along the reach where the habitat use was observed.
Fig. 3 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 3. Generalized additive model (GAM) for Astyanax sp. (a), Piabina argentea (b) and Serrapinnus heterodon (c). The GAM curves show the natural log contribution of each habitat function (v = velocity, d = depth and CI = channel index) to the model ln (standardized density) = constant + v + d + CI. Light gray lines around the GAM curves indicate 95% confidence intervals.
Seed consumption by small fish follows peak seed availability in a tropical dry forest river
<p>Seed consumption and dispersal by fish has been more extensively described in natural Neotropical large river systems of Amazonia, where ichthyochory follows a seasonal gradient associated with a floodpulse that creates long-lasting seasonally flood zones. It has been shown that it is relevant in maintaining the plant community structure of wetlands, but its effects on plant communities in seasonal dry forests are largely unknown. The Amacuzac hydrological system, which runs through one of the most extensive seasonal tropical dry forests of Central Mexico, shows a marked climatic seasonality, which in turn determines a transient increase in river flow and its potential to overflow, resulting in a drag effect on banks, and in the river carrying three times more seeds in the rainy than in the dry season. Another characteristic of the system is the coexistence of native and non-native fish species, due to the fact that the middle part of the river receives discharges from four tributaries that cross important urban, industrial, and agricultural districts as well as an extensive network of ornamental fish farms. Therefore, we hypothesize that rates of seed consumption by fish would correspondingly increase during rainy seasons, and that both native and non-native fish would consume seeds in similar proportions. We evaluated seed consumption by fish by (a) identifying and estimating the frequency and number of fish species whose stomachs contained seeds, and determining the percentage of each fishes' diet corresponding to seeds with respect to total food items, and (b) by evaluating if there were seasonal differences in the consumption of intact seeds by fish and between native vs. non-native species. We found two native species - <i>Astyanax aeneus</i> and <i>Notropis moralesi</i>, and two non-native species - <i>Aequidens rivulatus</i> and <i>Amatitlania nigrofasciata </i>containing seeds in their stomachs. The number of individuals with seeds was significantly higher in the rainy season than in the dry season, with a higher proportion of non-native fishes carrying seeds, but only in the rainy season. We found significant differences between the fish species in the proportion of seeds consumed. Fishes follow the peak of seed availability after a flood pulse released them from the soil seed banks. Thus, fishes consume fruits/seeds on a seasonal basis, however in this case it is explained by a different mechanism other than the timing of seed production by trees. As with hydrochory in tropical dry forests, seed consumption/dispersal by fish inhabiting rivers within this ecosystem has been overlooked in the ecology and conservation literature. This evidence is relevant for tropical dry forest ecosystem dynamics and management strategies in riparian corridors.</p> <p> </p>
Figure 1 in Updated checklist of marine cartilaginous fishes from continental and insular Ecuador (Tropical Eastern Pacific Ocean)
Figure 1. – Geographical location of the study areas (Manta, Puerto López, Santa Rosa and Galápagos Islands) from Ecuador, Central Eastern Pacific Ocean.
Figure 2 in Updated checklist of marine cartilaginous fishes from continental and insular Ecuador (Tropical Eastern Pacific Ocean)
Figure 2. – Pictures of some comon species from the Ecuadorian coastal small-scale fishery (© P. Béarez). A: Mustelus henlei (596 mm TL, Puerto López, 17 Nov. 2004). B: Carcharhinus falciformis (1095 mm TL, Puerto López, 13 May 2006). C: Nasolamia velox (1060 mm TL, Puerto López, 15 Dec. 2005). D: Squatina armata (940 mm TL, Salango, 22 Apr. 1994). E: Zapteryx xyster (410 mm TL, Puerto López, 19 Nov. 2011). F: Pseudobatos leucorhynchus (664 mm TL, Salango, 8 Nov. 2008). G: Pseudobatos prahli (765 mm TL, Puerto López, 8 Nov. 2008). H: Rostroraja equatorialis (560 mm TL, Puerto López, 19 Nov. 2011). I: Urobatis halleri (437 mm TL, Salango, 13 Jul. 1994). J: Myliobatis peruvianus (1920 mm TL, Salango, 11 Nov. 2008).
Fig. 4 in Fish assemblages along a morphodynamic continuum on three tropical beaches
Fig. 4. Ordination diagram (tripolot) from Canonical Correspondence Analysis for the numerical abundance of fish species and environmental variables. (TEMP= Temperature; SAL= Salinity; TRANSP= Transparency and RTR= Relative Tide Range). (Acli = Achirus lineatus; Ancl = Anchovia clupeoides; Anja = Anchoa januaria; Anle = Anchoviella lepidentostole; Atbl = Atherinella blackburni; Atbr = Atherinella brasiliensis; Baso = Bathygobius soporator; Cala = Caranx latus; Ciar = Citharichthys arenaceus; Cima = Citharichthys macrops; Cisp = Citharichthys spilopterus; Ctbo = Ctenogobius boleosoma; Ctsm = Ctenogobius smaragdus; Ctst = Ctenogobius stigmaticus; Ersm = Erotelis smaragdus; Euar = Eucinostomus argentus; Eubr = Eugerres brasilianus; Eume = Eucinostomus melanopterus; Gost = Gobionellus stomatus; Hacl = Harengula clupeola; Hyun = Hyporhamphus unifasciatus; Lipi = Lile piquitinga; Lusy = Lutjanus synagris; Lygr = Lycengraulis grossidens; Meli = Menticirrhus littoralis; Mucu = Mugil curema; Muho = Mugil hospes; Muli = Mugil liza; Olsa = Oligoplites saurus; Poco = Pomadasys corvinaeformis; Povi = Polydactylus virginicus; Rhba = Rhinosardinia bahiensis; Spgr = Sphoeroides greeleyi; Spsp = Sphoeroides spengleri; Spte = Sphoeroides testudineus; Sypl = Symphurus plagusia; Syte = Symphurus tesselatus; Trca = Trachinotus carolinus; Trfa = Trachinotus falcatus; Trgo = Trachinotus goodei).
Fig. 5 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 5. Dendrogram from cluster analysis for ecomorphological attributes of seventeen fish species in the rio Mamanguape estuary. The code for species is as in Table 1.
Fig. 4 in Ecomorphology and resource use by dominant species of tropical estuarine juvenile fishes
Fig. 4. Ordination diagram for the rio Mamanguape estuary, from the first two principal components for the ecomorphological attributes of seventeen studied species. The codes for species are as in Table 1.
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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.