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57 results for “behavioural trait”
Data from: Larval traits carry over to affect post-settlement behaviour in a common coral reef fish
Most reef fishes begin life as planktonic larvae before settling to the reef, metamorphosing, and entering the benthic adult population. Different selective forces determine survival in the planktonic and benthic life stages, but traits established in the larval stage may carry over to affect post-settlement performance. We tested the hypothesis that larval traits affect two key post-settlement fish behaviours: social group-joining and foraging. Certain larval traits of reef fishes are permanently recorded in the rings in their otoliths. In the bluehead wrasse (Thalassoma bifasciatum), prior work has shown that key larval traits recorded in otoliths (growth rate, energetic condition at settlement) carry-over to affect post-settlement survival on the reef, with higher-larval-condition fish experiencing less post-settlement mortality. We hypothesized that this selective mortality is mediated by carry-over effects on post-settlement anti-predator behaviours. We predicted that better-condition fish would forage less and be more likely to join groups, both behaviours that would reduce predation risk. We collected 550 recently settled bluehead wrasse (Thalassoma bifasciatum) from three reef sites off St. Croix (USVI), and performed two analyses. First, we compared each settler's larval traits to the size of its social group to determine whether larval traits influenced group-joining behaviour. Second, we observed foraging behaviour in a subset of focal grouped and solitary fish (n = 14) for 1-4 days post-settlement. We then collected the fish and tested whether larval traits influenced the proportion of time spent foraging. Body length at settlement, but not condition, affected group-joining behaviour; smaller fish were more likely to remain solitary or in smaller groups. However, both greater length and better condition were associated with greater proportions of time spent foraging over four consecutive days post-settlement. Larval traits carry-over to affect post-settlement behavior, though not as we expected: higher-quality larvae join groups more frequently (safer) but then forage more. Foraging is risky but may allow faster post-settlement growth, reducing mortality risk in the long run. This shows that behaviour likely serves as a mechanistic link connecting larval traits to post-settlement selective mortality.
Data from: An experimental evaluation of traits that influence the sexual behaviour of pollinators in sexually deceptive orchids
Pollination by sexual deception of male insects is perhaps one of the most remarkable cases of mimicry in the plant kingdom. However, understanding the influence of floral traits on pollinator behaviour in sexually deceptive orchids is challenging, due to the risk of confounding changes in floral odour when manipulating morphology. Here, we investigated the floral traits influencing the sexual response of male Zaspilothynnus nigripes (Tiphiidae) wasps, a pollinator of two distantly related sexually deceptive orchids with contrasting floral architecture, Caladenia pectinata and Drakaea livida. In D. livida the chemical sexual attractant is emitted from the labellum, while in C. pectinata it is produced from the distal sepal tips, allowing manipulative experiments. When controlling for visual cues there was no difference in long distance attraction, though the floral odour of D. livida induced copulation more frequently than that of C. pectinata. The role of colour in pollinator sexual attraction was equivocal, indicating that colour may not be a strong constraint on the initial evolution of sexual deception. The frequency of wasp visitors landing on C. pectinata decreased when the amount of floral odour was reduced, but attempted copulation rates were enhanced when the source of floral odour was associated with the labellum. These latter variables may represent axes of selection that operate across many sexually deceptive species. Nonetheless, the observed variation in floral traits suggests flexibility in how sexual deception can be achieved.
Micro-personality traits and their implications for behavioural and movement ecology research
<ol> <li>Many animal personality traits have implicit movement‐based definitions, and can directly or indirectly influence ecological and evolutionary processes. It has therefore been proposed that animal movement studies could benefit from acknowledging and studying consistent inter-individual differences (personality), and, conversely, animal personality studies could adopt a more quantitative representation of movement patterns.</li> <li>Using high-resolution tracking data of three-spined stickleback fish (<i>Gasterosteus</i> <i>aculeatus</i>)<i>, </i>we examined the repeatability of four movement parameters commonly used in the analysis of discrete time-series movement data (time stationary, step-length, turning angle, burst frequency), and four behavioural parameters commonly used in animal personality studies (distance travelled, space use, time in free water, time near objects).</li> <li>Fish showed repeatable inter-individual differences in both movement and behavioural parameters when observed in a simple environment with two, three, or five shelters present. Moreover, individuals that spend less time stationary, take more direct paths and less commonly burst travel (movement parameters), were found to travel farther, explored more of the tank, and spent more time in open water (behavioural parameters).</li> <li>Our case-study indicates that the two approaches – quantifying movement and behavioural parameters – are broadly equivalent, and we suggest that movement parameters can be viewed as "micro-personality" traits that give rise to broad-scale consistent inter-individual differences in behaviour. This finding has implications for both personality and movement ecology research areas. For example, the study of movement parameters may <span>provide a robust way to analyse</span><span> individual </span><span>personalities in species that are difficult or impossible to study using standardised behavioural assays.</span> </li> </ol>
Figure 5. Nestling feeding behaviour during the 15 in Nesting biology of Green-and-gold tanager (Tangara schrankii): unique traits for lowland reproductive success?
Figure 5. Nestling feeding behaviour during the 15-day nestling period, based on six nests monitored for a total of 30 days. (a) Hourly and (b) daily feeding trips.
Data of "Evaluation of feeding behaviour traits to predict efficiency traits in pigs using partial least square regression"
<p>This study explores the potential of using automatically recorded feeding behaviour as a proxy trait for protein and energy efficiency as well as fat gain in Swiss Large White pigs.</p> <p>behaviour.txt: A tab-delimited txt file of data used to investigate the relationship between feeding behaviour traits and protein efficiency in Swiss Large White pigs. Feeding behaviour traits taken were ‘daily feed intake’, ‘feeding rate’, ‘number of daily visits’, ‘duration at visits’, ‘feeding occupation’, and ‘feed intake per visit’.</p> <p>data_description_for_feeding_behaviour.xlsx: meta data for behaviour.txt with descriptions of variables</p>
Figure 4 in No rest for the weary: restricted resting behaviour of green turtles (Chelonia mydas) at a deep-neritic foraging area influences expression of life history traits
Figure 4. Depth versus duration of resting bouts for (a) each individual turtle (n = 12), and (b) average dive depth vs. dive duration for all resting dives by each individual turtle ± 1 standard deviation (R2 = 0.36).
Figure 3 in No rest for the weary: restricted resting behaviour of green turtles (Chelonia mydas) at a deep-neritic foraging area influences expression of life history traits
Figure 3. Dive depth vs. dive duration for (a) all non-resting dives by all turtles (R2 = 0.26, slope = 0.72) and (b) all resting dives by all turtles (R2 = 0.31, slope = 0.43).
Figure 2 in No rest for the weary: restricted resting behaviour of green turtles (Chelonia mydas) at a deep-neritic foraging area influences expression of life history traits
Figure 2. Map of Bahίa de los Angeles study area along the eastern coast of the Baja California Peninsula, Mexico (inset); 10-m baythmetric contours represented by dashed lines; Capture sites: 1. El Barco, 2. La Silica, 3. El Bajo, 4. El Cardon, 5. Pedregal de la Blanca and 6. Playa Blanca.
Figure 1 in Life-history traits of the Brazilian litter-dwelling scorpion: post-embryonic development and reproductive behaviour in Ananteris mauryi Lourenço, 1982 (Scorpiones: Buthidae)
Figure 1. The courtship and mating sequences in Ananteris mauryi Lourenço (1982). (a) Initiation; (b) promenade à deux; (c) insemination and separation. M, male; F, female.
Sex differences in the behavioural traits across ontogenetic stages in a sexually-size dimorphic spider
<p>Data collected on males and females of the spider species <em>Dolomedes fimbriatus</em>. Behavioural biology, the relationship of sex, age and body mass to voracity, boldness and propensity to attack a simulated attacker throughout ontogeny.</p> <p>ID = individual code</p> <p>Gender = 0 - female; 1 - male</p> <p>Stage = 1 - juvenile; 2 - sub-adult; 3 - adult</p> <p>Repeat = the sequence number of the experiment repetition</p> <p>Boldess = Score for boldness experiments (0 - bold; 5 - shy)</p> <p>Voracity = Score for voracity experiment (0 - did not take a fly; 1 - took a fly)</p> <p>Attack = Score for propensity to attack simulated prefator (0 - did not attack; 1- attacked)</p> <p>Mass = Specimens body mass at the time of experiment in grams</p> <p>Age = Specimens age at the time of experiment in days before (negative) and after (positive) final molt</p> <p>Difference in masa = The difference in body mass between consecutive experiments for a specimen </p> <p>Difference in age = The difference in age between consecutive experiments for a specimen</p> <p>Difference Boldness = The difference in boldness scores between consecutive experiments for a specimen</p> <p>Absolute Difference Boldness = The absolute difference in boldness scores between consecutive experiments for a specimen </p> <p>Difference Voracity = The difference in voracity scores between consecutive experiments for a specimen </p> <p>Absolute Difference Voracity = The absolute difference in voracity scores between consecutive experiments for a specimen </p> <p>Difference Attack = The difference in attack scores between consecutive experiments for a specimen</p> <p>Absolute Difference Attack = The absolute difference in attack scores between consecutive experiments for a specimen</p>
Data from: Indirect genetic and environmental effects on behaviours, morphology, and life-history traits in a wild Eastern chipmunk population
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Data from: Larval traits carry over to affect post-settlement behaviour in a common coral reef fish
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Data from: Variation in selective regimes drives intraspecific variation in life-history traits and migratory behaviour along an elevational gradient
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Data from: An experimental evaluation of traits that influence the sexual behaviour of pollinators in sexually deceptive orchids
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Data from: Macroevolutionary evidence suggests trait-dependent coevolution between behaviour and life-history
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Data from: Among-individual heterogeneity in maternal behaviour and physiology affects reproductive allocation and offspring life-history traits in the garter snake Thamnophis elegans
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Data from: An experimental test of the effect of predation upon behaviour and trait correlations in threespine stickleback
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Micro-personality traits and their implications for behavioural and movement ecology research
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Personality traits and behaviour vary among invasive, native and hatchery-reared fish
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The genetics of morphological and behavioural island traits in deer mice
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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.