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7,081 results for “Habitats”
The wash zone and habitat use among three benthic fish species in stratified lakes
<p>Mixing processes in lakes are important in determining sedimentation zones and in setting the so-called "wash zone", the area of lake bottom in contact with an oscillating thermocline during wind driven internal seiche events. The wash zone also aligns with a sharp change in sediment roughness and hardness. Taken together these rapid changes in temperature and sediment indicate that the wash zone is a distinctive ecotone in stratified lakes. Depth stratified randomized netting was used to develop count-based habitat use models for three common benthic fish species as a function of depth or temperature covariates. Using data from two lakes with quite different wash zone depths, we show the wash zone to describe fish habitat for two of three benthic fish species by utilizing the top 50% of estimated fish abundance as an indicator of habitat use. White sucker (<em>Catostomus commersoni</em>) habitat use was fully within the boundaries of the wash zone. Lake whitefish (<em>Coregonus clupeaformis</em>) habitat was adjacent and within the wash zone. Longnose sucker (<em>C. catostomus</em>) habitat use was in the deep areas of lakes dominated by sediment focusing and did not overlap white sucker. Lake whitefish habitat use overlapped both catostomids, but peak abundance of both lake whitefish and white sucker overlapped pointing to potential interactions between these species. Smaller lakes have less vigorous mixing processes and a narrower wash zone, so with a decline in lake size the likely area of the wash zone as habitat for benthic feeding fish would become smaller.</p>
FIGURE 4 in Habitat use, trophic, and occurrence patterns of Inpaichthys kerri and Hyphessobrycon vilmae (Pisces: Characidae) in Amazonian streams
FIGURE 4 | Relationships obtained from generalized additive mixed models (GAMM) among the environmental variables and Inpaichthys kerri (A) and Hyhessobrycon vilmae (B) abundance.
FIGURE 2 in Habitat use, trophic, and occurrence patterns of Inpaichthys kerri and Hyphessobrycon vilmae (Pisces: Characidae) in Amazonian streams
FIGURE 2 | Location of the sampled streams in the Aripuanã River basin, Mato Grosso State, Brazil. White circles represent streams with Inpaichthys kerri, black circles represent streams with Hyphessobrycon vilmae, and gray circles represent streams with both species.
FIGURE 5 in Habitat use, trophic, and occurrence patterns of Inpaichthys kerri and Hyphessobrycon vilmae (Pisces: Characidae) in Amazonian streams
FIGURE 5 | General view of streams where Inpaichthys kerri (A) and Hyphessobrycon vilmae (B) individuals were collected in the Aripuanã River basin, Mato Grosso State, Brazil.
FIGURE 3 in Physical habitat as predictor of fish trophic structure in Brazilian Atlantic rainforest streams
FIGURE 3 | Biplot of the first two canonical functions showing how substrate composition (SC), meso-habitat variability (MH), and bank stability (BS) correlate with richness of carnivores (SCar), invertivores (SInv), omnivores (SOmn), and herbivorous-detritivores (SHD).
FIGURE 1 in Physical habitat as predictor of fish trophic structure in Brazilian Atlantic rainforest streams
FIGURE 1 | Sampling sites located in the Paranapanema river basin, São Paulo state, Brazil. The Paranapanema river is highlighted in blue.
FIGURE 4 in Short-term response of fish assemblages to instream habitat restoration in heavily impacted streams
FIGURE 4 | Changes in environmental parameters (mean ± sd) depth, flow and structural diversity in pre and post-restoration conditions. C= Control treatment, W= Wood treatment, WL= Wood/leaf treatment, *= p-values <0,05.
FIGURE 1 in Short-term response of fish assemblages to instream habitat restoration in heavily impacted streams
FIGURE 1 | Map of the study area, highlighting the state of São Paulo and the location of the streams within the watersheds: Tietê River (streams P1, P2, P6 and P7), São José dos Dourados River (P3 and P4), and Turvo River (P5 and P8).
FIGURE 2 in Habitat and community structure modulate fish interactions in a neotropical clearwater river
FIGURE 2 | A. Principal coordinate analysis (PCoA) showing ordination of samples according to substratum composition (i.e., habitat categorization); B. PCoA performed with the abundance of fishes, points sized according to the sum of the abundance in the sample (logarithm scaled for better visualization); C. PCoA performed with the biomass of fishes, points sized according to the sum of the biomass in the sample (logarithm scaled for better visualization). Red lines indicate significative variables (p <0.05) while black lines nonsignificative. Anc spp = Ancistrus spp., Ast lac = Astyanax lacustris, Ast mar = Astyanax marionae, Bry mel = Bryconops melanurus, Cha spp = Characidium spp., Hyp equ = Hyphessobrycon eques, Jup aca = Jupiaba acanthogaster, Lep vit = Leporellus vittatus, Lep fri = Leporinus friderici, Meg mac = Megaleporinus macrocephalus, Odo peq = Odontostilbe pequira, Par nas = Parodon nasus, Phe teg = Phenacogaster tegatus, Pia mes = Piaractus mesopotamicus, Pro lin = Prochilodus lineatus, Sal bra = Salminus brasiliensis.
FIGURE 3 in Habitat and community structure modulate fish interactions in a neotropical clearwater river
FIGURE 3 | Feeding pressure of the 18 fishes that bit the substratum, and their respective trophic groups (colours) at the Olho d´Água River. Black diamonds and lines represent the mean ± standard error, respectively. Habitats in which certain species did not fed on the substratum (zero values) are not represented in the graph. The Y-axis scale is log10 -transformed to better show data dispersion.
FIGURE 1 in Habitat and community structure modulate fish interactions in a neotropical clearwater river
FIGURE 1 | A. Olho d'Água River located in the upper Paraguay River basin, Central Western Brazil. B. Note that clear water allows observation of the underwater vegetation even in aerial photographs. Three sampled habitats are: C. Lake; D. Plant; and E. Rock.
Fig. 1 in Habitat use by Astyanax taeniatus (Jenyns, 1842) (Characiformes: Characidae) in a coastal stream from Southeast Brazil
Fig. 1. Availability (light grey bars), use (dark grey bars), and Ivlev Index (black circles) for the four studied microhabitat parameters affecting Astyanax taeniatus from Roncador stream: (A) total depth; (B) focal water velocity; (C) substratum; (D) distance from the nearest bank.
Fig. 5 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 5. Mean (+95% Confidence Interval) abundance of Epinephelus itajara observed by depth zone between habitats. Depth zones: shallow (0-14 m), mid (15-29 m) and deep (≥30 m). Numbers represent sightings between each deep zone and habitat.
Fig. 4 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 4. Smoothing curve obtained by a generalized additive model using data from natural (a) and artificial habitats (b), showing the effect of sighting depth on Epinephelus itajara total length. Estimated smooth functions (solid lines) with 95% confidence interval (dashed lines) are shown for explanatory variable; y-axis= fitted function with estimated degrees of freedom in parenthesis; x-axis = variable range with rug plots indicating sampled values. (c) Boxplots of median depth among size categories for overall sightings; (d) number of goliath grouper observed at each size classes, at natural and artificial habitats. Size categories: juvenile (<50 cm), subadult (50 – 100 cm), adult (101 – 150 cm) and large adult (151 – 200 cm). Numbers above each box represent total number of individuals per size range class.
Fig. 2 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 2. Frequency of Epinephelus itajara sighted per austral season in natural (white bar) and artificial (grey bar) habitat between 2005 and 2011. Numbers above each bar represent total number of individuals per season.
Fig. 3 in Short-term movements and habitat preferences of sailfish, Istiophorus platypterus (Istiophoridae), along the southeast coast of Brazil
Fig. 3. Minimum and maximum daily temperature and depth experienced by sailfish I, II and III. Box-plots represent the depths experienced by tagged sailfish.
Fig. 2 in Short-term movements and habitat preferences of sailfish, Istiophorus platypterus (Istiophoridae), along the southeast coast of Brazil
Fig. 2. Temperature histograms, showing the relative frequency of time spent at temperature for each tagged sailfish individual. Error bars indicates the standard errors around mean values.
Fig. 1 in Short-term movements and habitat preferences of sailfish, Istiophorus platypterus (Istiophoridae), along the southeast coast of Brazil
Fig. 1. Depth histograms, showing relative frequency of time spent at depth for each tagged sailfish. Error bars indicates the standard errors around mean values.
Fig. 1 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 1. Sightings of Epinephelus itajara along Brazilian coast. States: South: SC = Santa Catarina; PR = Paraná. Southeast: SP = São Paulo; RJ = Rio de Janeiro; ES = Espírito Santo. Northeast: BA = Bahia; SE = Sergipe; AL = Alagoas; PE = Pernambuco; PB = Paraíba; RN = Rio Grande do Norte; CE = Ceará; PI = Piauí; MA = Maranhão. North: PA = Pará and AP = Amapá. NMP = National Marine Park; and AR = artificial reef.
Fig. 4. Most-probable tracks for sailfish I, II in Short-term movements and habitat preferences of sailfish, Istiophorus platypterus (Istiophoridae), along the southeast coast of Brazil
Fig. 4. Most-probable tracks for sailfish I, II, III, and IV fitted with Kalman Filter State-Space Model.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.