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114 results for “behavioral interactions”
Data from: Exploratory behavior undergoes genotype-age interactions in a wild bird
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Data for: Contextual behavioral interactions of common side-blotched lizards (Uta stansburiana)
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Data from: The many dimensions of diet breadth: phytochemical, genetic, behavioral, and physiological perspectives on the interaction between a native herbivore and an exotic host
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Data from: Logging-induced changes in habitat network connectivity shape behavioral interactions in the wolf-caribou-moose system
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Data from: Behavioral and morphological traits interact to promote the evolution of alternative reproductive tactics in a lizard
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Olfactory cues of risk and visual cues of safety interact with familiarity and phylogeny in shaping behavioral responses by littoral fishes
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Variation in social feeding behaviors and interactions among Caenorhabditis nematodes
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Fig. 9 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 9. Defense strategy (schooling and dispersing) by the Nile Tilapia (mean ± SD) in the tanks with Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data showed interaction (P =0.018) among species, structural complexity and schooling. Shoaling decreased for 0% to 100% structural complexity treatments, while dispersing behavior increased for the RD treatment.
Fig. 4 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 4. Temporal variation of predatory activity the experiment, in each treatment. Mean ± SD of Oreochromis niloticus survival in the tanks with Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles). Levels of habitat complexity: a. 0%, b. 50%, c. 100% and d. RD.
Fig. 1 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 1. Experimental tanks used. The left side of the image shows the simulation of habitat complexity using a plastic imitation of macrophytes: upper left – 0% habitat complexity, upper right – 50%, bottom left – 100% and bottom right – RD (rocks and driftwood). The right side of the image shows the individual water circulation system, the lamps used to manipulate the photoperiod of 12:12 h light:dark and the dark panels at the windows to avoid the influence of natural light.
Fig. 5 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 5. Use of microhabitat (surface, middle and bottom layers) by the native predators (mean ± SD) Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data showed significant interaction (P = 0.049) among species, structural habitat complexity and microhabitat.All species of native predators used the bottom layer of the tank more frequently.
Fig. 6 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 6. Activity (inactive, swimming, stalking and attacking) by the native predators (mean ± SD) Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data suggested that the interaction among species, structural habitat complexity and activity was significant (P <0.001). The native predators did not stalk or attack in any of the treatments.
Fig. 2 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 2. Summary of scheme of experimental procedures, design and statistical analyses. From left to right: acclimatization period and procedures for each species in isolation (Oreochromis niloticus, Salminus brasiliensis, Pseudoplatystoma corruscans and Brycon orbignyanus). Experimental design: four levels of habitat complexity (0%, 50% and 100% (simulated using green plastic filaments) and RD (rocks and driftwood) simulated with basaltic rocks and tree branches) for three species combinations (O. niloticus x S. brasiliensis, O. niloticus x P. corruscans and O. niloticus x B. orbignyanus), replicated three times, totaling 36 experimental units. Ten O. niloticus were placed in each tank and after 6 h, one predator was added. Data collection started 6 h from the beginning of the experiment and was repeated at 12-h intervals (5 a.m./5 p.m.). The predatory efficiency, predation frequency over time, use of microhabitat and activity by predators and prey, together with the defense strategy of the prey, were analyzed using different models of ANOVA design.
Fig. 3 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 3. Predatory efficiency (mean ± standard deviation (SD) of Oreochromis niloticus consumption) by Pseudoplatystoma corruscans (white bars), Salminus brasiliensis (black bars) and Brycon orbignyanus (gray bars), in 0%, 50%, 100% and RD treatments. ANOVA for these data was not significant (P = 0.69) for interaction between species and structural complexity. However, the predatory efficiencies of species were different (P <0.001).
Fig. 7 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 7. Use of microhabitat (surface, middle and bottom) by the Nile Tilapia (mean ± SD) in the tanks with Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data suggested significant (P = 0.045) interaction between species, structural complexity and use of microhabitat. The juveniles used the surface and bottom layers more frequently.
Data from: Starving the enemy? Feeding behavior shapes host-parasite interactions
The loss of appetite that typically accompanies infection or the mere exposure to parasites is traditionally considered a negative by-product of infection, benefitting neither the host nor the parasite. In fact, numerous medical and veterinary practices directly or indirectly subvert this 'illness-mediated anorexia'. However, the ecological factors that influence it, its effects on disease outcomes, or why it evolved remains poorly resolved. We explore how hosts use anorexia to defend against infection and how parasites can manipulate anorexia to enhance transmission. Then, we use a coevolutionary model to illustrate how changes to anorexia could alter disease dynamics and virulence evolution. Anorexia could be exploited to improve host health and disease management; we propose an interdisciplinary approach to minimize unintended consequences.
Data from: Repetitive concussive traumatic brain injury interacts with post-injury foot shock stress to worsen social and depression-like behavior in mice
The debilitating effects of repetitive concussive traumatic brain injury (rcTBI) have been increasingly recognized in both military and civilian populations. rcTBI may result in significant neurological, cognitive, and affective sequelae, and is often followed by physical and/or psychological post-injury stressors that may exacerbate the effects of the injury and prolong the recovery period for injured patients. However, the consequences of post-injury stressors and their subsequent effects on social and emotional behavior in the context of rcTBI have been relatively little studied in animal models. Here, we use a mouse model of rcTBI with two closed-skull blunt impacts 24 hours apart and social and emotional behavior testing to examine the consequences of a stressor (foot shock fear conditioning) following brain injury (rcTBI). rcTBI alone did not affect cued or contextual fear conditioning or extinction compared to uninjured sham animals. In the sucrose preference test, rcTBI animals had decreased preference for sucrose, an anhedonia-like behavior, regardless of whether they experienced foot shock stress or were non-shocked controls. However, rcTBI and post-injury foot shock stress had synergistic effects in tests of social recognition and depression-like behavior. In the social recognition test, animals with both injury and shock were more impaired than either non-shocked injured mice or shocked but uninjured mice. In the tail suspension test, injured mice had increased depression-like behavior compared with uninjured mice, and shock stress worsened the depression-like behavior only in the injured mice with no effect in the uninjured mice. These results provide a model of subtle emotional behavioral deficits after combined concussive brain injury and stress, and may provide a platform for testing treatment and prevention strategies for social behavior deficits and mood disorders that are tailored to patients with traumatic brain injury.
Data from: Temperature-dependent, behavioral, and transcriptional variability of a tritrophic interaction consisting of bean, herbivorous mite, and predator
Different organisms compensate for, and adapt to, environmental changes in different ways and therefore environmental changes affect animal–plant interactions. We consequently assessed the effect of temperature on a tritrophic system of the lima bean, the spider mite Tetranychus urticae, and the predatory mite Phytoseiulus persimilis. In this system the plant defends itself against T. urticae by emitting volatiles that attract P. persimilis. Over a range of 20 40°C the emission of volatiles by infested plants and the attraction of P. persimilis, peaked at 30°C but the number of eggs laid by T. urticae adults and the number of eggs consumed by P. persimilis, peaked at 35°C. This indicates that the spider mites and predatory mites performed best at a higher temperature than that at which most volatile attractants were produced. We used data from transcriptome pyrosequencing of the mites and found that P. persimilis up-regulated gene families for heat shock proteins (HSPs) and ubiquitin-associated proteins, whereas T. urticae did not. RNA interference-mediated gene suppression in P. persimilis, developed in the current study, revealed that predation on T. urticae eggs by P. persimilis fed with PpHsp70-1 dsRNA was reduced at 35°C, when the expression level of PpHsp70-1 was greatly increased but not at 25°C. Overall, our molecular and behavioral approaches revealed that the mode and tolerance of lima bean, T. urticae, and the predatory mite P. persimilis are distinctly affected by temperature variability, thereby making their tritrophic interactions temperature dependent.
Data from: Prozac in the water: chronic fluoxetine exposure and predation risk interact to shape behaviors in an estuarine crab
Predators exert considerable top-down pressure on ecosystems by directly consuming prey or indirectly influencing their foraging behaviors and habitat use. Prey is, therefore, forced to balance predation risk with resource reward. A growing list of anthropogenic stressors such as rising temperatures and ocean acidification has been shown to influence prey risk behaviors and subsequently alter important ecosystem processes. Yet, limited attention has been paid to the effects of chronic pharmaceutical exposure on risk behavior or as an ecological stressor, despite widespread detection and persistence of these contaminants in aquatic environments. In the laboratory, we simulated estuarine conditions of the shore crab, Hemigrapsus oregonensis, and investigated whether chronic exposure (60 days) to field-detected concentrations (0, 3, and 30 ng/L) of the antidepressant fluoxetine affected diurnal and nocturnal risk behaviors in the presence of a predator, Cancer productus. We found that exposure to fluoxetine influenced both diurnal and nocturnal prey risk behaviors by increasing foraging and locomotor activity in the presence of predators, particularly during the day when these crabs normally stay hidden. Crabs exposed to fluoxetine were also more aggressive, with a higher frequency of agonistic interactions and increased mortality due to conflicts with conspecifics. These results suggest that exposure to field-detected concentrations of fluoxetine may alter the trade-off between resource acquisition and predation risk among crabs in estuaries. This fills an important data gap, highlighting how intra- and interspecific behaviors are altered by exposure to field concentrations of pharmaceuticals; such data more explicitly identify potential ecological impacts of emerging contaminants on aquatic ecosystems and can aid water quality management.
Data from: Long-term effect of social interactions on behavioral plasticity and lifetime mating success
Behavioral traits often change over an individual's lifetime. Experience, physiological senescence, and age-dependent differences in optimal behavior can, in theory, all cause longitudinal behavioral changes. Yet most studies of behavioral plasticity and selection on behavior focus on short-term population-level responses to social factors such as conspecific density or sex ratio. Longer-term effects of social interactions on individual behavior have rarely been tested. Here we tested these effects by exposing male water striders (Hemiptera: Gerridae) to two different social conditions throughout their lifetime; we call these the nonsocial and social treatments. We then measured each male's lifetime mating success and individual behavioral plasticity by observing four different behaviors (exploring a novel environment, dispersal ability, sex-recognition sensitivity, and tendency to remount a resistant female after being dislodged) every 2 weeks. The social environment influenced individual variation in behavioral plasticity as well as population-level behavioral plasticity. Moreover, when we calculated linear selection gradients of individual behavioral traits and their plasticities on lifetime mating success, male remounting tendency and individual plasticity in exploration ability were likely to be the most important factors explaining variation in male lifetime mating success. In conclusion, the variation in social interactions throughout an individual's lifetime contributes to the individual variation in behavioral plasticity, which can significantly affect a male's lifetime fitness.
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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.