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24 results for “breeder dispersal”
Data from: Socially informed dispersal in a territorial cooperative breeder
1. Dispersal is a key process governing the dynamics of socially and spatially structured populations, and involves three distinct stages: emigration, transience, and settlement. At each stage, individuals have to make movement decisions, which are influenced by social, environmental, and individual factors. Yet, a comprehensive understanding of the drivers that influence such decisions is still lacking, particularly for the transient stage during which free-living individuals are inherently difficult to follow. 2. Social circumstances such as the likelihood of encountering conspecifics can be expected to strongly affects decision making during dispersal, particularly in territorial species where encounters with resident conspecifics are antagonistic. Here we analyzed the movement trajectories of 47 dispersing coalitions of Kalahari meerkats (Suricata suricatta) through a landscape occupied by constantly monitored resident groups, while simultaneously taking into account environmental and individual characteristics. 3. We used GPS locations collected on resident groups to create a geo-referenced social landscape representing the likelihood of encountering resident groups. We used a step-selection function to infer the effect of social, environmental and individual covariates on habitat selection during dispersal. Lastly, we created a temporal mismatch between the social landscape and the dispersal event of interest to identify the temporal scale at which dispersers perceive the social landscape. 4. Including information about the social landscape considerably improved our representation of the dispersal trajectory, compared to analyses that only accounted for environmental variables. The latter were only marginally selected or avoided by dispersers. Before leaving their natal territory, dispersers selected areas frequently used by their natal group. In contrast, after leaving their natal territory, they selectively used areas where they were less likely to encounter unrelated groups. This pattern was particularly marked in larger dispersing coalitions and when unrelated males were part of the dispersing coalition. 5. Our results suggest that, in socially and spatially structured species, dispersers gather and process social information during dispersal, and that reducing risk of aggression from unrelated resident groups outweighs benefits derived from conspecific attraction. Finally, our work underlines the intimate link between the social structure of a population and dispersal, which affect each other reciprocally.
Data from: Individual dispersal decisions in a cooperative breeder: ecological constraints, the benefits of philopatry, and the social queue for dominance
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Habitat fragmentation shapes natal dispersal and sociality in an Afrotropical cooperative breeder
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Data from: Socially informed dispersal in a territorial cooperative breeder
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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.