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303 results for “habitat preference”
Fig. 1 in Distribution and habitat preferences of Galápagos ants (Hymenoptera: Formicidae)
Fig. 1 – Composition of the ant fauna in some inhabited and uninhabited islands of the Galápagos archipelago: BAL = Baltra; ESP = Española; FER = Fernandina; FLO = Floreana; ISA = Isabela; MAR = Marchena; SAN = Santiago; SCB = San Cristóbal; SCZ = Santa Cruz; SFE = Santa Fé.
Map 1 in Distribution and habitat preferences of Galápagos ants (Hymenoptera: Formicidae)
Map 1. Galápagos archipelago with terrestrial ecological zones. The largest island Isabela is composed of six volcanoes.
Figure 3 in A tapestry of habitats: exploring abundance and habitat preferences of the Northern Red Muntjac (Muntiacus vaginalis) across the Central Himalayan landscape
Figure 3: Map of study area showing occupancy probability estimate in East Sikkim and Darjeeling district, West Bengal.
Figure 2 in A tapestry of habitats: exploring abundance and habitat preferences of the Northern Red Muntjac (Muntiacus vaginalis) across the Central Himalayan landscape
Figure 2: Map of study area showing sampled grid (2*2 km) of East Sikkim and Darjeeling district, West Bengal, Central Himalaya.
Figure 1 in A tapestry of habitats: exploring abundance and habitat preferences of the Northern Red Muntjac (Muntiacus vaginalis) across the Central Himalayan landscape
Figure 1: Map of study area (a) East Sikkim and (b) Darjeeling district,West Bengal, showing selected grid (5*5 km) for sampling with protected areas viz., SNP (Singalila National Park), SWLS (Senchal Wildlife Sanctuary), DJ_RF (territorial forest, Darjeeling), KWLS (Kyongnosla Wildlife Sanctuary), FWLS (Fambong Lho Wildlife Sanctuary), PWLS (Pangolakha Wildlife Sanctuary), and SK_RF (territorial forest, East Sikkim).
Data from: Thermal and moisture habitat preferences do not maximize jumping performance in frogs
Amphibians are suffering population declines globally, and understanding how environmental parameters influence their thermal and moisture preferences and performance at various tasks is crucial to understanding how these animals will be influenced by climate change. Body temperature and hydration affect organismal performance at many fitness-related tasks. Since amphibians are ectotherms with highly water-permeable skin, environmental temperature and moisture directly affect their body temperature and hydration. Therefore, amphibians should select habitats with the optimal combination of temperature and moisture to perform tasks necessary for survival. However, interactions between environmental temperature and moisture can influence habitat selection and task performance in different and often unpredictable ways, and this has only infrequently been considered. We tested for interactions between environmental temperature, moisture, and organismal hydration on temperature and moisture preferences and jumping performance in Green Frogs (Lithobates clamitans) in the laboratory, using thermal and moisture gradients, and high-speed video and force plate data. We then integrated the lab experiments with field data. In the thermal and moisture gradients, frogs selected environmental conditions that minimized cutaneous evaporative water loss, hydroregulating more stringently than thermoregulating. These results are consistent with frogs in the field, which had highly variable body temperatures, but were always hydrated above 95% of their standard mass. However, conditions that minimized evaporative water loss frequently did not maximize jumping performance because warmer temperatures conferred greater performance. The ecology of L. clamitans may explain the discrepancy between their preferences and jumping performance optima because the frogs remain in wet environments that serve as refuges from dehydration. In parts of their range where frogs are subjected to warmer and drier conditions, they are likely to select microhabitats that minimize the risk of dehydration, possibly at the expense of their ability to forage and escape from predators.
Data from: Natal habitat preference induction in large mammals – Like mother, like child?
Habitat selection has received considerable attention from ecologists during the last decades, yet the underlying forces shaping individual differences in habitat selection are poorly documented. Some of these differences could be explained by the early experience of individuals in their natal habitat. By selecting habitat attributes like those encountered early in life, individuals could improve resource acquisition, survival, and ultimately fitness. This behaviour, known as natal habitat preference induction (NHPI), could be particularly common in large mammals, because offspring generally stay with their mother for an extended period. We used three complementary approaches to assess NHPI in a marked population of woodland caribou (Rangifer tarandus caribou): 1) population-based resource selection functions (RSFs), 2) individual-based RSFs, and 3) behavioural repeatability analyses. All approaches compared the behaviour of calves in their natal range to their behaviour as independent subadults during the snow-covered (Dec – Apr) and snow-free (May – Nov) seasons. Using RSFs, we found that the magnitude of habitat selection between calf and subadult stages differed for most covariates, yet the signs of statistically significant effects (selection vs. avoidance) were generally the same. We also found that some habitat selection tactics were highly repeatable across life stages. Notably, caribou responses to habitat disturbances were highly repeatable year-round, meaning that different individuals reacted differently, but consistently, to disturbances. This study highlights the potential role of natal habitat preference induction in shaping individual differences in habitat selection in large mammals and provides valuable knowledge for the management and conservation of a threatened species.
Data for: A test of Sensory Drive in plant-pollinator interactions: habitat heterogeneity shapes pollinator preference for a floral visual signal
<p>DATA:</p> <p>FinnKoski_PollData_Final: Pollinator visitation data to floral arrays analyzed</p> <p>Spectra used for vismodels.zip: reflectance spectra of flowers and floral backgrounds, irradiance spectra</p> <p>ColorContrastData: visual contrast data analyzed</p> <p>CODE: </p> <p>vismod_code.R : code used for visual system modeling and calculation of contrast</p> <p>SAS_modelcode.R: SAS code used to analyze pollinator visitation data and color contrast data</p>
Figure 8 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 8. Differences in food preference for the two Ligia species [Ligia occidentalis (LO): F (4,53.45) = 15.918, p = 0.0001; Ligia pallasii (LP): F (4,53,45) = 15.928, p = 0.0004] as shown for mean dry weight consumed for each food type (error bars are ± 1 SE). Changes in weight of the different food types without isopods (none: F (4,22.15) = 0.699, p = 0.601) show minimal changes in weight possibly because of microbial activity. Values of p are based on analysis of variance. Letters above bars indicate significant differences among means (Post hoc Tukey tests).
Figure 6 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 6. Results of mesocosm experiments show that all treatments containing Ligia showed a significant decrease in dry weight of algal biomass compared with a control (none). The reduction in algal biofilm caused by Ligia pallasii (LP) treatment was significantly lower than that by either the Ligia occidentalis (LO) treatment or the combination of the two species (LO+LP). Letters above bars indicate significant differences among means (Post hoc Tukey tests).
Figure 5 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 5. Temperature records at Mussel Point cave (A) and Bodega Harbor (B) represented as mean temperature per month (average) and the monthly average of the daily maximum (max) and minimum (min) temperatures.
Figure 4 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 4. Monthly survey of Ligia pallasii at Mussel Point from March 2007 to December 2010. Overall abundance is represented as mean number of individuals per square metre and is composed of numbers from five different size classes (see key).
Figure 3 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 3. Monthly survey of Ligia occidentalis at Bodega Harbor from March 2007 to December 2010. Overall abundance is represented as mean number of individuals per square metre and is composed of numbers from four different size classes (see key).
Figure 2 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 2. Relative abundance of Ligia occidentalis (LO) and Ligia pallasii (LP) along the surveyed coastline (x axis left to right represents latitudinal coordinates of sampling sites from south to north). LO showed slight but not significant decline in abundance towards the northern range of the distribution Spearman's ρ – 0.0863, p <|ρ| = 0.3680. LP showed a small but significant decline towards the southern range limit (positive correlation with increasing latitude Spearman's ρ 0.5499, p <|ρ| = 0.0001. Lines within sites mark area of range overlap (solid line range limit of species in plot, dashed line range limit of other Ligia species).
Figure 1 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 1. Ligia occidentalis (A) and Ligia pallasii (B, C) can be distinguished by the distance between the eyes and the shape of the caudal peduncle of the uropod. Sexual dimorphism is only present in L. pallasii (B, female; C, male). All scale bars represent 10 mm. Photos: J. Sones.
Figure 7 in Distribution, habitat and food preferences of sympatric high intertidal isopod species Ligia occidentalis and Ligia pallasii (Ligiidae: Oniscidea)
Figure 7. Feeding preferences (mean rank ± 1 SE) of Ligia pallasii and Ligia occidentalis for different species of algal wrack (Nereocystis, Costaria, Ulva, Mazaella and Fucus); n = 20 (L. pallasii), 19 (L. occidentalis). Different letters indicate significant differences in rank of pairwise comparisons after Bonferoni corrections.
Fig. 2 in Carabid Beetle (Coleoptera: Carabidae) Abundance and Habitat Preference in Northeastern São Paulo State, Brazil
Fig. 2. Perceptual map of correspondence analysis showing carabid species occurrence in the forest fragment (traps along transect 10–100 m inside the fragment), at the edge (traps along transect of 1–4 m), and in the crop (traps along transect 10–100 m inside the crop). Carabid species names are abbreviated with the first three letters of their genus and first four letters of the species epithet (see Table 1 for complete species names). Small circle represents the location of carabid species; large circle, square, and plus sign indicate the location of traps in edge, forest fragment and crop, respectively.
Fig. 1 in Carabid Beetle (Coleoptera: Carabidae) Abundance and Habitat Preference in Northeastern São Paulo State, Brazil
Fig. 1. Dendrogram of hierarchical cluster analysis identifying groups of similar carabid species according to abundance in the forest fragment, in the edge, and in the crop. Carabid species names are abbreviated with the first three letters of their genus and first four letters of the species epithet (see Table 1 for complete species names).
Fig. 3 in Rediscovery ofLutrochus laticepsCasey, 1893 (Coleoptera: Lutrochidae) and the Discovery ofDineutus productusRoberts, 1895 andDineutus serrulatus analisRégimbart, 1882 (Coleoptera: Gyrinidae) in Kansas, USA, with Notes on Habitat Preference
Fig. 3. Elk River just south of Longton, habitat. A) Pool beneath falls and river downstream, B) The falls.
Fig. 1 in Rediscovery ofLutrochus laticepsCasey, 1893 (Coleoptera: Lutrochidae) and the Discovery ofDineutus productusRoberts, 1895 andDineutus serrulatus analisRégimbart, 1882 (Coleoptera: Gyrinidae) in Kansas, USA, with Notes on Habitat Preference
Fig. 1. Map of Kansas with collection sites. Black circle = locality on Elk River South of Longton; gray circle = Elk Falls; white circles = additional localities sampled.
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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.