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Data from: Social networks predict gut microbiome composition in wild baboons
负责人:
关键词:
social network;primate;Papio cynocephalus;Gut microbiome;Grooming;sociality;baboon
DOI:
doi:10.5061/dryad.8gp03
摘要:
e not well understood. Using shotgun metagenomic data from wild baboons, we found that social group membership and social network relationships predicted bot
Data from: Social networks predict gut microbiome composition in wild baboons
负责人:
关键词:
sociality Baboon gut microbiome social network grooming primate
DOI:
doi:10.5061/dryad.8gp03.1
摘要:
e not well understood. Using shotgun metagenomic data from wild baboons, we found that social group membership and social network relationships predicted bot
Data from: The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds
负责人:
关键词:
Animal societies Dispersal Group living Immigration Social organisation Great tit
DOI:
doi:10.5061/dryad.885c0
摘要:
ted technologies to track 1053 individuals that formed 73?737 groups from which we inferred a social network. Our framework identified that both social and spatial
Data from: Environmental complexity influences association network structure and network-based diffusion of foraging information in fish shoals
负责人:
Webster, Mike M.
关键词:
Behavior Behavior: social Ecology: behavioral Foraging Foraging: behavior Foraging: ecology Foraging: social Patch selection Social structure stickleback
DOI:
doi:10.5061/dryad.524gv
摘要:
Socially transmitted information can significantly affect the ways in which animals interact with their environments. We used network-based
Data from: Family network size and survival across the lifespan of female macaques
负责人:
Brent, Lauren
关键词:
Social relationships longevity social connectedness life course ageing
DOI:
doi:10.5061/dryad.013d5
摘要:
for any non-human animal to date, our study extends support for the idea that sociality promotes survival and suggests strategies employed across the life course
Data from: Sex-specific responses to territorial intrusions in a communication network: evidence from radio-tagged great tits
负责人:
Snijders, Lysanne
关键词:
Communication network Animal social network Sexual selection Eavesdropping Social information Signaling
DOI:
doi:10.5061/dryad.00v20
摘要:
adjusting their spatial behavior in contrasting ways, while the social proximity network remained stable. Moreover, our study underlines the importance
Data from: Infection-induced behavioural changes reduce connectivity and the potential for disease spread in wild mice contact networks
负责人:
关键词:
animal behavior disease transmission social networks wild mice experimental infection
DOI:
doi:10.5061/dryad.nk1b8
摘要:
ng automated tracking. The immune-challenged animals showed reduced connectivity to their social groups, which happened as a function of their own behaviour, ra
Data from: An active-radio-frequency-identification system capable of identifying co-locations and social-structure: validation with a wild free
负责人:
Ellwood, Stephen
关键词:
European badger co-location network analysis RFID social-group sociobiology territory tracking wildlife management
DOI:
doi:10.5061/dryad.qt000
摘要:
badgers spent co-locating within and between social-groups, applying network analysis to provide evidence of co-location based community structure, at bot
Data from: Pathways of information transmission amongst wild songbirds follow experimentally imposed changes in social foraging structure
负责人:
Firth, Josh
关键词:
Social Transmission Information Use Social Networks Social Learning Strategies Information Spread Mixed species flocks
DOI:
doi:10.5061/dryad.6h4t2
摘要:
tion flow and social learning strategies has remained challenging. We manipulated the social structure of a large community of wild songbirds by controlling which individual
Data from: Does detection range matter for inferring social networks in a benthic shark using acoustic telemetry?
负责人:
Mourier, Johann
关键词:
Animal social networks Acoustic telemetry
DOI:
doi:10.5061/dryad.20864
摘要:
. These findings suggest that acoustic receivers with a large detection range may not be the best option to represent true social networks in the cas

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