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Fig. 1 in Influence of environmental variables on stream fish fauna at multiple spatial scales
Fig. 1. Locations of the 38 randomly selected sites sampled in the Upper Araguari River basin, State of Minas Gerais, Brazil.
Fig. 2 in Influence of environmental variables on stream fish fauna at multiple spatial scales
Fig. 2. Detrended correspondence analysis (DCA) of fish abundance (a) and incidence (b) along the sampling sites. The species are shown in triangle and sampling sites in X-mark.
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.
FIGURE 3 in Habitat modification driven by land use as an environmental filter on the morphological traits of neotropical stream fish fauna
FIGURE 3 | Representation of significant associations (p <0.05) identified by the fourth-corner method in the factorial map of the RLQ analysis. Red denotes a positive relationship between morphological traits and environmental variables, blue indicates a negative relationship, and grey represents nonsignificant relationships. Codes: Cond: Conductivity, Rock: Rocky substrate, Woody: Woody debris, Turb: Turbidity, Backw: Backwater, DO: Dissolved Oxygen, Temp: Temperature. See acronyms for the morphological traits in Tab. S3.
FIGURE 1 in Habitat modification driven by land use as an environmental filter on the morphological traits of neotropical stream fish fauna
FIGURE 1 | Study area. Location of sampling sites according with land use covers: S1 -Manoel Gomes, S2 - Pedregulho, S3 - Arquimedes, S4 - Bom Retiro, S5 - Rio da Paz, S6 - Nene, S7 - Cascavel, S8 - Afluente do Quati, and S9 - Quati.
FIGURE 2 in Habitat modification driven by land use as an environmental filter on the morphological traits of neotropical stream fish fauna
FIGURE 2 | Relationship between morphological traits and environmental variables of the first two axes of the RLQ of the species along the lower Iguaçu River. The figures of the fish were added to illustrate the species. Codes: Woody: Woddy debris, Cond: Conductivity, Rocky: Rocky substrate, Turb: Turbidity, Backw: Backwater, DO: Dissolved Oxygen, Temp: Temperature, Anc: Ancystrus sp., Syn: Synbranchus sp., Hyp: Hypostomus sp., Hep: Heptapterus sp., Cam: Cambeva sp., Cor: Corydoras sp., Rha: Rhamdia sp., Geo: Geophagus sp., Ast: Astyanax sp., Psa: Psalidodon sp., Bry: Bryconamericus sp., Gym: Gymnotus sp., Hop: Hoplias sp., Pha: Phalloceros sp., Poe: Poecilia sp.
FIGURE 6 in Local effects of deforestation on stream fish assemblages in the Amazon-Savannah transitional area
FIGURE 6 | Relationship between forest cover and the functional richness index observed in streams located in the Tanguro Farm, municipality of Querência, state of Mato Grosso. Forest cover is represented by the Axis I of the PCA performed with land use variables obtained from a 60 m buffer. Sites 1, 2 and 3 overlapped and were rearranged for better visualization.
FIGURE 5 in Local effects of deforestation on stream fish assemblages in the Amazon-Savannah transitional area
FIGURE 5 | Relationship between species composition and the first PCA axis, ordinated by a Principal Coordinate Analysis. Lighter colors represent sample points with less forest cover. The species corresponding to the codes are in Tab. 2.
FIGURE 4 in Local effects of deforestation on stream fish assemblages in the Amazon-Savannah transitional area
FIGURE 4 | Relationship between forest cover and the physical integrity index of streams located in the Tanguro Farm, Municipality of Querência, state of Mato Grosso. Forest cover is represented by the Axis I of the PCA performed with land use variables obtained from a 60 m buffer. Sites 1, 2 and 3 overlapped, and were rearranged for better visualization. Sgrid: Site.
FIGURE 2 in Local effects of deforestation on stream fish assemblages in the Amazon-Savannah transitional area
FIGURE 2 | Principal component analysis performed with the percentages of land use in 60 m riparian buffers in the catchment of nine streams located in the Tanguro Farm, Municipality of Querência, state of Mato GrossoT. Sites 1, 2, and 3 overlapped, and were rearranged for better visualization. Sgrid: Site.
FIGURE 7 in Local effects of deforestation on stream fish assemblages in the Amazon-Savannah transitional area
FIGURE 7 | Distribution of functional groups related to forest cover loss in Amazonian streams, state of Mato Grosso. OS: Opportunistic strategy; ES: Equilibrium strategy. Forest cover values vary from green (more forest cover) to yellow (less forest cover).
FIGURE 1 in Local effects of deforestation on stream fish assemblages in the Amazon-Savannah transitional area
FIGURE 1 | Location of the nine streams sampled in the dry season of 2017, Tanguro Farm, state of Mato Grosso, Brazil.
FIGURE 1 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 1 | Sampled sites and forest fragments in the Machado River basin, Brazil. The inset map of Brazil depicts the relative location of the study area (black) within the Madeira River basin (dark gray), inside the Amazon biome (light gray).
FIGURE 4 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 4 | Explained variation of environmental contribution in turnover metrics partitioned by MRM and associated commonality analysis into pure local, shared and pure catchment components. RC = Raup-Crick; MPD = mean pairwise distance; MNTD = mean nearest taxon distance; all = all sampled streams; ref = streams with forested watersheds; new = streams with recently deforested watersheds; old = streams with historically deforested watersheds.
FIGURE 2 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 2 | Distribution of sampling sites with (A) forest patches ranked according to the forest quality multimetric index and (B) effective forest cover. Non-forested area is white and is not included in the multimetric index calculation (or legend).
FIGURE 3 in Taxonomic and functional turnover of Amazonian stream fish assemblages is determined by deforestation history and environmental variables at multiple scales
FIGURE 3 | Standardized effect sizes for each taxonomic and functional turnover metric (mean and 95% confidence intervals). RC = Raup-Crick; MPD = mean pairwise distance; MNTD = mean nearest taxon distance; ref = streams with forested watersheds; new = streams with recently deforested watersheds; old = streams with historically deforested watersheds.
FIGURE 4 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 4 | Structural equation model diagrams showing the effects of landscape degradation (CDI) on the functional structure of stream fish assemblages from the Araguari River basin. CDI influenced functional diversity mediated by alterations in habitat heterogeneity and stability (A. Model fit: X2 = 32.8, df = 25, p = 0.51). CDI also influenced functional identity, mediated by changes in habitat type (B. Model fit: X2 = 44.9, df = 18, p = 0.13). Arrows indicate positive (black) and negative (gray) significant direct effects (p <0.05; *p <0.10), with thickness proportional to their power (standardized path coefficients along arrows). Biodiversity metrics – FRic: Functional Richness; FDiv: Functional Divergence; FEve: Functional Evennes; FSpe: Functional Specialization; FOri: Functional Originality; CWM1-3: Functional Identity. For physical-habitat codes, calculation and ecological meaning, see Tab. 1.
FIGURE 5 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 5 | Ecomorphological space showing the position of each fish species (36) from the Araguari River basin. Each plot represents two axes of a principal component analysis (PCA), where species are plotted according to their respective trait values. Codes at the ends of the arrows are the most important ecomorphological traits for each PCA axis. For trait and species codes, see Tab. 2 and Tab. S3, respectively).
FIGURE 2 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 2 | Examples of landscape and local-habitat conditions of the streams sampled across a degradation gradient in the Cerrado: A. Streams with a small strip of riparian forests in landscapes dominated by mechanized agriculture; B. Stream with relatively well-preserved local conditions, including forest on both banks; C. Stream surrounded by intermediate riparian cover; and D. Stream running in pasture areas without any forest.
FIGURE 3 in Land-use changes affect the functional structure of stream fish assemblages in the Brazilian Savanna
FIGURE 3 | Predictions tested using structural equation modeling, indicating the expected pathways (arrows) for the effects of catchment degradation (CDI) on stream physical habitat and, consequently, on the functional structure of the fish assemblages. Land use is expected to influence the functional diversity mediated by alterations in habitat heterogeneity and stability (A), and to influence functional identity, mediated by changes in habitat type (B). Arrows indicate expected effects between predictive and response variables, which can be positive (black continuous line), negative (gray continuous line) or non-directional (dashed lines). For physical-habitat codes, calculation and ecological meaning, see Tab. 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)
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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.