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549 results for “use of habitat”
Fig. 9 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico
Fig. 9. Different uses ascribed to the two types of artificial habitats (=coqui houses) placed in the forest. (A) Coqui frog using bamboo house as retreat site during the day. (B) Bamboo house used as nesting site with a double clutch. Note that eggs are observed but the guarding male jumped away as the photo was taken. (C) PVC house used by a coqui as a nocturnal perching site. (D) PVC house used by a coqui as a calling site during the night.
Fig. 1 in Can artificial retreat sites help frogs recover after severe habitat devastation? Insights on the use of "coqui houses" after Hurricane Maria in Puerto Rico
Fig. 1. Map showing the location of El Yunque National Forest in Puerto Rico, and the location of the study transects.
Patterns of island fox habitat use in sand dune habitat on San Clemente Island
<p>On San Clemente Island (SCI), the island fox subspecies (<em>Urocyon littoralis</em><em> clementae</em>) has been monitored annually since 1988 to track long-term population trends. Annual density estimates in most habitat types across the island range from 2–13 foxes/km<sup>2</sup>, yet unusually high estimates have repeatedly approached 50 foxes/km<sup>2 </sup>in a unique sand dune habitat area. Although sand dune habitat is restricted to one small area on the island, these estimates suggest sand dune habitat supports one of the highest population densities of any fox species in the world, and it may support > 5% of the SCI fox population. This finding prompted our investigation to determine if SCI foxes captured in the sand dunes habitat area maintained home ranges within this habitat type. Between January–July 2018, we used Global Positioning System collars to track the movements of 12 island foxes captured in the sand dune habitat area. Contrary to our initial predictions, we found that island foxes captured in the sand dune habitat area do maintain home ranges and core areas centralized in sand dune habitat. All 12 island fox home ranges estimated contained >50% sand dune habitat in either their 50% or 95% fixed kernel density estimate (KDE) home range, and island foxes were 3.14 times more likely to use active sand dune habitat when compared to the second most abundant habitat type, maritime desert scrub (Adjusted = 3.14, 95% CI = 3.07–3.12). We also found that island foxes in sand dune habitat maintained much smaller home ranges than reported estimates in other habitat types, with an average 95% KDE home range size of 0.42 km<sup>2</sup> (95% CI = 0.20–0.63 km<sup>2</sup>). Although sand dune habitat comprises just 2% of available habitat on SCI, our research highlights the importance of this unique habitat area for island foxes.</p>
Functional traits and habitat use: investigating community assembly in a montane community (Carabidae: Nebria)
<p>The processes that influence community assembly, such as competition for resources and environmental filtering, are often scale-dependent and vary across ecotones. Trait-based ecology provides a useful framework for testing which ecological processes most strongly influence local community composition, especially across environmental gradients where species diversity varies. Where environmental filtering dominates, species distributions are expected to be defined by strong turnover along environmental gradients, with more similar species occupying more similar habitats. Where interspecific competition dominates, species are expected to diverge in relative abundance and resource utilization at sites, so species can co-occur. Here, we integrate measurements of functional traits, microhabitat usage, isotopic composition (δ<sup>15</sup>N and δ<sup>13</sup>C), and abundance to test the importance of environmental filtering and resource/habitat partitioning in shaping a montane ground beetle species assemblage (Carabidae: Nebriini: <em>Nebria</em>) in the isolated, volcanic peaks of the northern Cascades Range, U.S.A. Across species of <em>Nebria</em>, body size, pronotal shape, temperature preference, and isotopic enrichment varied across habitats [gravel, rocks 10 cm – 50 cm in diameter), large rocks (>50 cm in diameter), vegetation-covered rocks, and alpine (snowfields and talus)], and habitat/microhabitat features were reliable predictors of species presence. Resource consumption among mid-elevation species on Mt. Rainier – the peak with the greatest species diversity – is highly overlapping. Species turnover and nestedness varied significantly across habitat gradients and peaks throughout this region and varied nearly significantly across sites. Across habitat types and sites, more similar species are more likely to coexist. These results suggest that environmental filtering is the primary process structuring this species assemblage, although we find detailed evidence for microhabitat niche partitioning among species of <em>Nebria</em> at the site-scale.</p>
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.
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. 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 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 4. Discriminant analysis of the otolith Sr:Ca and Zn:Ca ratios for Percophis brasiliensis. Plot of the first two discriminant functions for each age group (a-d). An association was observed between data for ER and SMG, which were separated from data for AUCFZ. Triangles: ArgentineUruguayan Common Fishing Zone (AUCFZ), stars: San Matías Gulf (SMG) and black circles: El Rincón (ER).
Fig. 2 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 2. Variation of Sr:Ca (a) and Zn:Ca (b) ratios of Percophis brasiliensis separated by age for the three sampling sites. Different letters indicate statistical significant differences among age groups (years) for each sampling site (p<0.05).
Fig. 3 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 3. Relationship between otolith Sr:Ca and Zn:Ca ratios (mmol mol-1) for Percophis brasiliensis from three areas. Data for ER and SMG tended to cluster, while data for AUCFZ tended to disperse. Separation of data of AUCFZ and ER-SMG is observed. Triangles: Argentine-Uruguayan Common Fishing Zone (AUCFZ), stars: San Matías Gulf (SMG) and black circles: El Rincón (ER).
Figure 2 in Seasonal distribution and habitat use preference of Barking deer (Muntiacus vaginalis) in Murree-Kotli Sattian-Kahuta National Park, Punjab Pakistan
Figure 2. Vegetation composition of Barking deer habitat in Murree-Kotli Sattian-Kahuta National Park.
Figure 2 in Changes in the feeding behavior and habitat use of the desert hedgehog Paraechinus aethiopicus (Ehrenberg 1832, Eulipotyphla: Erinaceidae), in Saudi Arabia
Figure 2. Relationship between values of the trophic niche breadth in the four seasons during period from February 2015 and October 2019 in five study sites in Saudi Arabia.
Fig. 1 Landmarks used for the kinematic analyses. 1 upper jaw tip, 2 lower jaw tip, 3 in Flexibility is everything: prey capture throughout the seasonal habitat switches in the smooth newt Lissotriton vulgaris
Fig. 1 Landmarks used for the kinematic analyses. 1 upper jaw tip, 2 lower jaw tip, 3 hyoid (throat), 4 jaw joint, 5 nape, 6 dorsal trunk reference, 7 tongue tip (only digitized when visible)
Fig. 1 in The use of root plates for nesting sites by Anthophora abrupta (Hymenoptera: Apidae) may be common within forested habitats
Fig. 1. Root plate examples from Green River Game Lands (North Carolina), Fontainebleau State Park (Louisiana), and Mud Creek (Alabama). Map depicts physiographic provinces and relative locations of root plate sites. Upper right picture shows close-up of Anthophora abrupta turrets from BS root plate. BS = Bluebonnet Swamp Nature Center (Louisiana), FB = Fontainebleau State Park (Louisiana), GR = Green River Game Lands (North Carolina), MC = Mud Creek (Alabama), SL = Salem Lake (North Carolina).
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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.