2023
DOI: 10.1098/rsos.230402
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Fission–fusion dynamics in sheep: the influence of resource distribution and temporal activity patterns

Abstract: Fission–fusion events, i.e. changes to the size and composition of animal social groups, are a mechanism to adjust the social environment in response to short-term changes in the cost–benefit ratio of group living. Furthermore, the time and location of fission–fusion events provide insight into the underlying drivers of these dynamics. Here, we describe a method for identifying group membership over time and for extracting fission–fusion events from animal tracking data. We applied this method to high-resoluti… Show more

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Cited by 4 publications
(3 citation statements)
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References 52 publications
(66 reference statements)
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“…Networks with high modularity are characterised by many and strong connections within the group or cluster, while connections between groups are sparser (Tetzlaff et al., 2023 ). Fission–fusion societies, such as sheep (Della Libera et al., 2023 ), are structured into sub‐groups and modularity measures are higher compared to cohesive groups (Sosa et al., 2021 ). If divergent shade use results in greater internal network structure, and stronger subgroup clustering, we would expect higher modularity measures.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Networks with high modularity are characterised by many and strong connections within the group or cluster, while connections between groups are sparser (Tetzlaff et al., 2023 ). Fission–fusion societies, such as sheep (Della Libera et al., 2023 ), are structured into sub‐groups and modularity measures are higher compared to cohesive groups (Sosa et al., 2021 ). If divergent shade use results in greater internal network structure, and stronger subgroup clustering, we would expect higher modularity measures.…”
Section: Methodsmentioning
confidence: 99%
“…Fission-fusion societies, such as sheep (Della Libera et al, 2023), are structured into sub-groups and modularity measures are higher compared to cohesive groups (Sosa et al, 2021). If divergent shade use results in greater internal network structure, and stronger subgroup clustering, we would expect higher modularity measures.…”
Section: Inferring Sheep Social Network From Spatial Locationsmentioning
confidence: 99%
“…Given that the frequency of fission-fusion events and the composition of subgroups may vary across the landscape, traditional methods may lead to biases in which subgroups and events are observed. Tracking technologies such as GPS tags offer the potential to monitor the movements of multiple individuals simultaneously (Della Libera et al, 2023; Kays et al, 2015; Strandburg-Peshkin et al, 2015). This approach can give us greater insight into the decision-making processes of group members by allowing us to determine which subgroups individuals choose to join as well as those they reject.…”
Section: Introductionmentioning
confidence: 99%