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155 results for “Feeding behaviours”
Figure 3 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 3. Charonia lampas. Faeces produced after consuming an autotomised arm of Ophidiaster ophidianus. (A) Phase 1, after consumption of the tube feet, coelomic tube feet ampullae, pyloric caecae and gonads. (B) Phase 2, after consumption of the exoskeleton.
Figure 4 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 4. Charonia lampas. The foregut anatomy of the preserved specimen obtained from Spain, and as seen from the dorsal aspect.
Figure 2 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 2. Charonia lampas consuming an autotomised arm of Ophidiaster ophidianus. (A, B) Phase 1, consumption of the tube feet (A); consumption of the coelomic tube feet ampullae, pyloric caecae and gonads (B). (C, D) Phase 2, consumption of the exoskeleton.
Figure 1 in Foregut anatomy and predation by Charonia lampas (Gastropoda: Prosobranchia: Neotaenioglossa) attacking Ophidiaster ophidianus (Asteroidea: Ophidiasteridae) in the Açores, with a review of triton feeding behaviour
Figure 1. Charonia lampas attacking Ophidiaster ophidianus. (A) Charonia lampas pursues its potential prey and "taps" it with its tentacles. Ophidiaster ophidianus attempts to flee. (B) Charonia lampas captures one of the prey arms, which is instantly autotomised. Ophidiaster ophidianus makes its escape after leaving behind the arm, which autotomised further into two pieces.
Figure 4 in Diet and feeding behaviour of the leaf-litter frog Ischnocnema henselii (Anura: Brachycephalidae) in Araucaria rain forests on the Serra Geral of Rio Grande do Sul, Brazil
Figure 4. Relationship between mouth width of hunting Ischnocnema henselii frogs and the volume of prey animals.
Figure 3 in Diet and feeding behaviour of the leaf-litter frog Ischnocnema henselii (Anura: Brachycephalidae) in Araucaria rain forests on the Serra Geral of Rio Grande do Sul, Brazil
Figure 3. Relationship between mouth width of hunting Ischnocnema henselii frogs and length of prey animals.
Figure 1 in Diet and feeding behaviour of the leaf-litter frog Ischnocnema henselii (Anura: Brachycephalidae) in Araucaria rain forests on the Serra Geral of Rio Grande do Sul, Brazil
Figure 1. Relationship between body size (snout–vent length) and weight in Ischnocnema henselii adults.
Figure 5 in Diet and feeding behaviour of the leaf-litter frog Ischnocnema henselii (Anura: Brachycephalidae) in Araucaria rain forests on the Serra Geral of Rio Grande do Sul, Brazil
Figure 5. Prey items as found in the stomachs of adult Ischnocnema henselii frogs and composition of the litter fauna in the frogs' habitat.
Figure 5 in Feeding, agonistic and cooperative behavioural responses of shallow-water benthic marine scavengers
Figure 5. Specimen of the red-speckled anemone Anopleura ballii (arrowed) attached to the posterior part of the carapace of a specimen of Cancer pagurus. The crab subsequently fed extensively on the mackerel bait, generating flesh scraps that fell on the anemone̍ s tentacles and were ingested.
Figure 2 in Feeding, agonistic and cooperative behavioural responses of shallow-water benthic marine scavengers
Figure 2. Main image: two specimens of the edible crab Cancer pagurus feeding cooperatively on mackerel bait. Note the food debris clouds surrounding them. Inset: specimen of C. pagurus that has just torn a hole (arrowed) in the body cavity wall of the mackerel with the dactyl of the left cheliped.
Figure 4 in Feeding, agonistic and cooperative behavioural responses of shallow-water benthic marine scavengers
Figure 4. (A) Daytime and (B) night-time scavenging behaviour in the lobster Homarus gammarus. In (A) the lobster is using its mouthparts to 'chew̍ the bait. In (B) the lobster is seeking the bait with its right antenna.
Figure 1 in Feeding, agonistic and cooperative behavioural responses of shallow-water benthic marine scavengers
Figure 1. Map of Lough Hyne study site (from Davenport et al. 2021). Filled circles indicate positions of deeper (12 m) filming areas in North and South Basins. The open circle indicates a shallow (2 m) filming area in North Basin. Inset: Map of Ireland with the location of Lough Hyne indicated by the open square.
Figure 3 in Feeding, agonistic and cooperative behavioural responses of shallow-water benthic marine scavengers
Figure 3. Night-time image of cooperative feeding of the green crab Carcinus maenas. The image also shows semi-transparent common prawns Palaemon serratus.
Data from: Comparative feeding behaviour of native and introduced terrestrial snails tracks their ecological impacts
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The influence of feeding behaviour and temperature on the capacity of mosquitoes to transmit malaria
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Data from: Habitat heterogeneity induces rapid changes in the feeding behaviour of generalist arthropod predators
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Feeding behaviour is the main driver for microparticle intake in mangrove crabs
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Generalised host-plant feeding can hide sterol specialised foraging behaviours in bee-plant interactions
<p><span><span><span><span><span><span><span><span><span><span><span>Host-plant selection is a key factor driving the ecology and evolution of insects. While the majority of phytophagous insects are highly host specific, generalist behaviour is quite widespread among bees and presumably involves physiological adaptations that remain largely unexplored. However floral visitation patterns suggest that generalist bees do not forage randomly on all available resources. While resource availability and accessibility as well as nectar composition have been widely explored, pollen chemistry could also have an impact on the range of suitable host-plants. This study focuses on particular pollen nutrients that cannot be synthesised de novo by insects but are key compounds of cell membranes and the precursor for moulting process: the sterols. We compared the sterol composition of pollen from the main host-plants of three generalist bees: <i>Anthophora plumipes</i>,<i>Colletes cunicularius</i>and <i>Osmia cornuta</i>, as well as one specialist bee <i>Andrena vaga</i>. We also analysed the sterols of their brood cell provisions, the tissues of larvae and non-emerged females to determine which sterols are used by the different species. Our results show that sterols are not used accordingly to foraging strategy: Both the specialist species <i>Andrena vaga</i>and the generalist species <i>Colletes cunicularius</i>might metabolise a rare C<sub>27</sub>sterol, while the two generalist species <i>Anthophora plumipes</i>and <i>Osmia</i><i>cornuta</i>might rather use a very common C<sub>28</sub>sterol. Our results suggest that shared sterolic compounds among plant species could facilitate the exploitation of multiple host-plants by <i>A. plumipes</i>and <i>O. cornuta</i>whereas the generalist <i>C. cunicularius</i>might be more constrained due to its physiological requirements of a more uncommon dietary sterol. Our findings suggest that a bee displaying a generalist foraging behaviour may sometimes hide a sterol-specialised species. This evidence challenges the hypothesis that all generalist free-living bee species are all able to develop on a wide range of different pollen types.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Phylogenetic signal, feeding behaviour, and brain volume in Neotropical bats
Comparative correlational studies of brain size and ecological traits (e.g. feeding habits and habitat complexity) have increased our knowledge about the selective pressures on brain evolution. Studies conducted in bats as a model system assume that shared evolutionary history has a maximum effect on the traits. However, this effect has not been quantified. In addition, the effect of levels of diet specialization on brain size remains unclear. We examined the role of diet on the evolution of brain size in Mormoopidae and Phyllostomidae using two comparative methods. Body mass explained 89% of the variance in brain volume. The effect of feeding behaviour (either characterized as feeding habits, as levels of specialization on a type of item or as handling behaviour) on brain volume was also significant albeit not consistent after controlling for body mass and the strength of the phylogenetic signal (λ). Although the strength of the phylogenetic signal of brain volume and body mass was high when tested individually, λ values in phylogenetic generalized least squares models were significantly different from 1. This suggests that phylogenetic independent contrasts models are not always the best approach for the study of ecological correlates of brain size in New World bats.
FIGURES 2–4 in Aleurocyperus humus gen. et sp. n. (Hemiptera: Aleyrodidae) from Taiwan, with interesting feeding behaviour
FIGURES 2–4. Aleurocyperus humus Ko and Dubey,, 2, egg; 3, second instar; 4, third instar.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.