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54 results for “Selective Feeding”
Data from: Empirical verification of feeding selectivity of larval and juvenile pelagic fishes using in situ zooplankton communities
<p>Most studies on the feeding ecology of larvae and juveniles of commercially important pelagic fishes have used field-based approaches. However, due to possible biases related to net sampling, it is uncertain whether the results obtained from those studies truly represent the situation of live fish in the sea. Here we investigated the feeding ecology of pelagic fishes through a laboratory experiment minimizing the biases inherent in field net sampling. In the experiment, hatchery-reared juvenile chub mackerel (<em>Scomber japonicus</em>) and larval/juvenile Japanese anchovy <em>(Engraulis japonicus</em>) were fed with wild-caught zooplankton assemblages collected from around Hakatajima Island in the Seto Inland Sea, Japan. The relationships between fish size and prey number in the gut, and the selectivity on each prey organism were determined. As a result, in both species, prey number and size increased with body size, and the fish showed strong selectivity for crustaceans including copepodites and adults of copepods. Our data has also clearly indicated that both species can selectively prey on preferred foods that are rare while avoiding non-preferred foods that are abundant. These results, which substantially accord with reports from previous field studies, will not only help field scientists make a convincing interpretation of their data, but also open the possibility of further laboratory studies on detailed mechanisms of the feeding selectivity of larval/juvenile pelagic fishes.</p>
Dataset including records from the first two generation of selection for feed efficiency in three rabbits lines
<p>This dataset include records from the first two generation of selection of three rabbit lines. The objective was to improve feed efficiency accounting for social interactions within cage. In two lines the feed intake control is done using an electronic feeder, and in the third feed intake is controled at cage level. In the excel book provided, the date from the different lines are recorded in different pages.</p> <p>This dataset has been generated within Feed-a-Gene (H2020) and GENEF (Spanish INIA) projects. It is presented to fullfit the requeriments of Milestone 22 of Feed-a-Gene. This milestone basically aims to show that a selection experiment for feed efficiency on rabbits, accounting for social interactions, can be operationally conducted using an electronic feeder to record individual feed intake of animals raised in groups. This device has also been developed within the frame of these two projects.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Fig. 2 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability
Fig. 2. Ordination by principal coordinate analysis (PCoA) of the food resource availability for six floodplain lakes along the Upper Paraná River, Paraná-Mato Grosso do Sul. AQI = aquatic insects; OAI = other aquatic invertebrates; OTI = other terrestrial invertebrates; PLA = plants; TRI = terrestrial insects.
Fig.5 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability
Fig.5. Relationship between the mean of the proportional overlap Index (IS) and the scores of the first PCoA axis of resource availability in isolated floodplain lakes along the upper Paraná River.Values of IS closer to 1 indicates greater diet overlap. The mean IS was calculated based on individuals of 3 (ZÉ = ZÉ Marinho), 7 (Carioca = Car), 4 (TiÃo = Tia), 5 (Genipapo = Gen), 2 (CidÃo = Cid) and 5 species (Canal = Can).AQI = aquatic insects; PLA = plants.
Fig. 1 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability
Fig. 1. Locations of the lakes on the upper Paraná River floodplain, Brazil: 1, Canal do Meio; 2, Carioca; 3, ZÉ Marinho; 4, CidÃo; 5, Genipapo; 6, TiÃo.
Fig. 4 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability
Fig. 4. Relationship of the mean the Schoener's Index (O) between pairs of species and the scores of the first PCoA axis of resource availability in isolated floodplain lakes along the upper Paraná River. The mean O was calculated based on 10 (ZÉ = ZÉ Marinho), 28 (Carioca = Car), 6 (TiÃo = Tia), 21 (Genipapo = Gen), 3 (CidÃo = Cid) and 10 (Canal = Can) pairs of species. AQI = aquatic insects; PLA = plants.
Fig. 3 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability
Fig. 3. Relationships between feeding selectivity by fish and the availability of food resources for six floodplain lakes along the Upper Paraná River, ParanáMato Grosso do Sul. Shape of data distribution (envelope effect) was significant.
Fig. 2 in New information on scavenging and selective feeding behaviour of tyrannosaurids
Fig. 2. Close up of the medial face of the deltopectoral crest of hardosaurid Saurolophus (MPC−D100/764) from the Maastrichtian Bugin Tsav locality in Mongolia. Black arrows indicate some of the drag marks left by the teeth of the theropod, with their orientation also indicated by the direction of the arrow. The grey arrow points to a bite and drag mark where a slight surface drag mark later goes deeper into the bone cortex close to the edge of the crest.
Fig. 3 in New information on scavenging and selective feeding behaviour of tyrannosaurids
Fig. 3. Close−up of bite marks on the on distal end of left humerus of hadrosaurid Saurolophus (MPC−D100/764) from the Maastrichtian Bugin Tsav locality in Mongolia. Black arrows indicate deep scores that penetrate the cortex on the end of the bone. White arrows indicate deep puncture marks on the surface of the bone.
Fig. 1. MPC−D100 in New information on scavenging and selective feeding behaviour of tyrannosaurids
Fig. 1. MPC−D100/764, a left humerus of hadrosaurid Saurolophus from the Maastrichtian Bugin Tsav locality in Mongolia, in medial (A) and lateral (B) views (proximal end to the left and distal to the right) with major areas of bite marks indicated by the black arrows.
Data from: Empirical verification of feeding selectivity of larval and juvenile pelagic fishes using in situ zooplankton communities
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Selection of summer feeding sites and food resources by female migratory caribou (Rangifer tarandus) determined using camera collars
<p>Female migratory caribou (Rangifer tarandus) depend on the availability of summer habitat resources to meet the needs associated with lactation and the accumulation of fat reserves to survive when resources are less abundant. Because of the large scales at which habitat and resource data are usually available, information on how female migratory caribou select habitat and resources at fine scales in the wild is lacking. To document selection of summer feeding sites, we equipped 52 female caribou with camera collars from 2016 to 2018. We collected a total of 65,150 10-sec videos between June 1st and September 1st for three years with contrasted spring phenology. We determined the selection at the feeding site scale (3rd scale of Johnson) and food item scale (4th scale of Johnson) using resource selection probability functions. This data base contains the data of the behaviors observed, habitat used as feeding site, habitat unused has habitat, consumed and unconsumed resources, insect presence and other variables.</p>
Artificial selection in human-wildlife feeding interactions
<p>The artificial selection of traits in wildlife populations through hunting and fishing has been well documented. However, despite their rising popularity, the role that artificial selection may play in non-extractive wildlife activities, e.g., recreational feeding activities, remains unknown.</p> <p>If only a subset of a population takes advantage of human-wildlife feeding interactions, and if this results in different fitness advantages for these individuals, then artificial selection may be at work. We have tested this hypothesis using a wild fallow deer population living at the edge of a capital city as our model population.</p> <p>In contrast to previous assumptions on the randomness of human-wildlife feeding interactions, we found that a limited non-random portion of an entire population is continuously engaging with people. We found that the willingness to beg for food from humans exists on a continuum of inter-individual repeatable behaviour; which ranges from risk-taking individuals repeatedly seeking and obtaining food, to shyer individuals avoiding human contact and not receiving food at all, despite all individuals having received equal exposure to human presence from birth and coexisting in the same herds together. Bolder individuals obtain significantly more food directly from humans, resulting in early interception of food offerings and preventing other individuals from obtaining supplemental feeding.</p> <p>Those females that beg consistently also produce significantly heavier fawns (300-500g heavier), which may provide their offspring with a survival advantage. This indicates that these interactions result in disparity in diet and nutrition across the population, impacting associated physiology and reproduction, and may result in artificial selection of the begging behavioural trait.</p> <p>This is the first time that this consistent variation in behaviour and its potential link to artificial selection has been identified in a wildlife population and reveals new potential effects of human-wildlife feeding interactions in other species across both terrestrial and aquatic habitats. 22-Jun-2022 --</p>
Data for: Foraging habitat and site selection do not affect feeding rates in European shags
<p>Igor files of depth, temperature and 3-axis acceleration of data-loggers deployed on European shags at Isle of May Scotland in late May-early June 2006. File name is bird ID. Information of all birds is in the Excel file "Shag2006Birds."</p>
Data from: Feeding en route: Prey availability and traits influence prey selection by an avian predator on migration
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Data for: Foraging habitat and site selection do not affect feeding rates in European shags
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Artificial selection in human-wildlife feeding interactions
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Central place foraging in a human-dominated landscape - how do common cranes select feeding sites?
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Confronting assumptions about prey selection by lunge-feeding whales using a process-based model
<ol> <li class="CH3AbstractCxSpFirst"><span>The relative energetic benefits of foraging on one type of prey rather than another are not easily measured, particularly for large free-ranging predators. Nonetheless, assumptions about preferred and alternative prey are frequently made when predicting how a predator may impact its environment, adapt to environmental change, or interact with human activities.</span></li> <li class="CH3AbstractCxSpMiddle"><span>We developed and implemented a process-based model to investigate the potential energetic benefit (PEB) of <i>in situ</i> foraging opportunities in rorqual whales. The model integrates and evaluates the energetic importance of measured prey patch characteristics (prey distribution, energy content and predator avoidance) and predator characteristics (morphometrics, foraging tactics and feeding rates). We applied the model to test the assumption that hatchery-released juvenile salmon are an "easy meal" for humpback whales compared to more common prey, herring and krill. </span></li> <li class="CH3AbstractCxSpMiddle"><span>In eleven out of the thirteen foraging situations considered, whales were found to be feeding in a manner where net energy gain was greater than the energetic costs of non-foraging swimming. Humpback whale PEB for hatchery-released juvenile salmon fell within the range of the PEB for krill and herring but varied by species, from relatively high PEB for chum salmon to relatively low for coho salmon. Our model provides behavioral insight as well, indicating that shallow feeding may be more important for reducing energy expenditure through slower lunge speeds than for increasing prey capture. The model also provides a means of identifying prey patch characteristics, with prey aggregation playing the largest role in determining PEB despite being a poor overall proxy for PEB, supporting the use of the complex model framework. </span></li> <li class="CH3AbstractCxSpLast"><span>Modeling approaches are especially valuable where they can use reasonable assumptions to substitute for lack of reliable observations, thereby integrating a range of interacting factors into a single framework. Additionally, because process-based models can make predictions outside the range of previously observed conditions, they will be increasingly useful in a changing climate.</span></li> </ol>
Functionalized ionic liquid coatings in the Pd-catalyzed selective hydrogenation of acetylene in ethylene-rich feeds
<p>Raw data and python script as well as instructions for data evaluation</p>
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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.