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Data from: Copy-when-uncertain: bumblebees rely on social information when rewards are highly variable
负责人:
关键词:
social cue;foraging;social learning;resource distribution;social information;Bombus terrestris;bumblebees
DOI:
doi:10.5061/dryad.3jb68
摘要:
cues in highly variable environments, under the same conditions they did not use non-social cues. These results suggest that bumblebees use a ‘copy-when-uncertain
Data from: Social brain volume is associated with in-degree social network size among older adults
负责人:
关键词:
social network;VBM;2017;2015;2014;Social brain hypothesis;gray matter volume;in-degree size
DOI:
doi:10.5061/dryad.7m70n
摘要:
studies have observed that larger orbitofrontal and amygdala structures predict the size of an individual's social network. However, it remains uncertain
Data from: Quantifying uncertainty due to fission-fusion dynamics as a component of social complexity
负责人:
Ramos-Fernandez, Gabriel
关键词:
fission-fusion dynamics social complexity social uncertainty social cognition social intelligence hypothesis Shannon's entropy
DOI:
doi:10.5061/dryad.51b68
摘要:
of social relationships, introducing uncertainty in interactions between group members. Here we use Shannon's entropy to quantify the predictability of subgroup
Data from: Temporal stability in a male African elephant social network
负责人:
Mumby, Hannah
关键词:
savanna elephant conservation male-male association social behaviour age age differences
DOI:
doi:10.5061/dryad.1j43g7r
摘要:
for the spread of information and disease, group cohesion, and the drivers of sociality, and there is evidence that maintaining stable social relationships ha
Data from: Using social parasitism to test reproductive skew models in a primitively eusocial wasp
负责人:
关键词:
Social parasitism;polistes wasps;Polistes dominulus;reproductive skew;Polistes semenowi
DOI:
doi:10.5061/dryad.84mf4
摘要:
ween species. Reproductive skew theory has provided an important framework for understanding this variation. In the primitively eusocial Hymenoptera, two models
Data from: General rules for environmental management to prioritise social-ecological systems research based on a value of information approach
负责人:
关键词:
learning;Social network analysis;Adaptive Management;research priorities;social-ecological systems;value of information;Environmental management;complexity
DOI:
doi:10.5061/dryad.9nq5c8d
摘要:
ither social nor ecological information is consistently the most important: instead, researchers should focus on understanding the primary effects of thei
Data from: A phylogenetic- and trait-based analysis of community assembly in a subtropical forest in central China
负责人:
关键词:
community assembly;phylogenetic patterns;trait-based patterns;topographic variables
DOI:
doi:10.5061/dryad.f7m0cfxsd
摘要:
ross spatial scales remains uncertain. Some of this uncertainty may be reduced by studying the scale dependency of community assembly in the light
Data from: Information use and resource competition: an integrative framework
负责人:
关键词:
Social dominance;producer-scrounger dynamics;information use;decision-making;resource ecology;individual differences
DOI:
doi:10.5061/dryad.mn36c
摘要:
Organisms may reduce uncertainty regarding how best to exploit their environment by collecting information about resource distribution. We develop
Data from: Ants adjust their pheromone deposition to a changing environment and their probability of making errors
负责人:
关键词:
Environmental uncertainty memory pheromone trails metamemory metacognition
DOI:
doi:10.5061/dryad.mr73c
摘要:
locations to be exploited simultaneously. Our treatment also caused uncertainty in the foragers, by making their memories less reliable. Ants returning
Data from: Soil aggregate stability and grassland productivity associations in a northern mixed-grass prairie
负责人:
关键词:
plant biomass;regression;soil aggregate stability;grass biomass;water-stable aggregates;non-metric multidimensional scaling;Indicators;root biomass;grassland;mixed-grass prairie
DOI:
doi:10.5061/dryad.kc811
摘要:
h known to affect the land's capacity to resist erosion. These findings further highlight the uncertainty of plant biomass-soil stability associations.

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