Constructing social networks from automated telemetry data: a worked example using within‐ and across‐group associations in cooperatively breeding birds

Author(s):  
Daizaburo Shizuka ◽  
Sahas Barve ◽  
Allison E. Johnson ◽  
Eric L. Walters
2021 ◽  
Author(s):  
Ettore Camerlenghi ◽  
Alexandra McQueen ◽  
Kaspar Delhey ◽  
Carly N. Cook ◽  
Sjouke A. Kingma ◽  
...  

Multilevel societies (MLSs), where social levels are hierarchically nested within each other, are considered one of the most complex forms of animal societies. Although thought to mainly occur in mammals, it is suggested that MLSs could be under-detected in birds. Here we propose that the emergence of MLSs could be common in cooperatively breeding birds, as both systems are favoured by similar ecological and social drivers. We first investigate this proposition by systematically comparing evidence for multilevel social structure in cooperative and non-cooperative birds in Australia and New Zealand, global hotspots for cooperative breeding. We then analyse non-breeding social networks of cooperatively breeding superb fairy-wrens (Malurus cyaneus) to reveal their structured multilevel society, with three hierarchical social levels that are stable across years. Our results confirm recent predictions that MLSs are likely to be widespread in birds and suggest that these societies could be particularly common in cooperatively breeding birds.


2017 ◽  
Vol 190 (4) ◽  
pp. 547-556 ◽  
Author(s):  
Nyil Khwaja ◽  
Ben J. Hatchwell ◽  
Robert P. Freckleton ◽  
Jonathan P. Green

2018 ◽  
Author(s):  
Alec L. Robitaille ◽  
Quinn M.R. Webber ◽  
Eric Vander Wal

SummaryWe present spatsoc: an R package for conducting social network analysis with animal telemetry data.Animal social network analysis is a method for measuring relationships between individuals to describe social structure. Using animal telemetry data for social network analysis requires functions to generate proximity-based social networks that have flexible temporal and spatial grouping. Data can be complex and relocation frequency can vary so the ability to provide specific temporal and spatial thresholds based on the characteristics of the species and system is required.spatsoc fills a gap in R packages by providing flexible functions, explicitly for animal telemetry data, to generate gambit-of-the-group data, perform data-stream randomization and generate group by individual matrices.The implications of spatsoc are that current users of large animal telemetry or otherwise georeferenced data for movement or spatial analyses will have access to efficient and intuitive functions to generate social networks.


2019 ◽  
Vol 15 (8) ◽  
pp. 20190314
Author(s):  
Yi-Ru Cheng ◽  
Dustin R. Rubenstein ◽  
Sheng-Feng Shen

In cooperatively breeding species, social conflict is typically assumed to underlie destructive behaviours like infanticide. However, an untested alternative hypothesis in birds is that infanticide in the form of egg tossing may simply be a parental response to partial nest predation representing a life-history trade-off. We examined egg tossing behaviour in the colonial and cooperatively breeding grey-capped social weaver ( Pseudonigrita arnaudi ), a plural breeder in which pairs nest separately, often in the same tree. Using infrared nest cameras, we found that 78% of the tossing events from 2012 to 2017 were committed by parents, suggesting that social conflict is unlikely to be the main reason underlying egg tossing in this species. Instead, reductions in clutch size due to both natural and experimentally simulated predation induced parental egg tossing. Our study suggests that destructive behaviour in cooperatively breeding birds can be shaped by a variety of mechanisms beyond social conflict and that alternative hypotheses must be considered when studying the adaptive significance of infanticide in group-living species.


2015 ◽  
Vol 61 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Cody J. Dey ◽  
Q.Y. Joanne Tan ◽  
Constance M. O’Connor ◽  
Adam R. Reddon ◽  
J. Ryan Caldwell

Abstract While a large number of studies have described animal social networks, we have a poor understanding of how these networks vary with ecological and social conditions. For example, reproductive periods are an important life-history stage that may involve changes in dominance relationships among individuals, yet no study to date has compared social networks of dominance interactions (i.e. dominance networks) across reproductive contexts. We first analyzed a long-term dataset on captive social groups of the cooperatively breeding cichlid Neolamprologus pulcher, and found that eviction events were significantly more common around reproduction than expected by chance. Next, we compared the structure of dominance networks during early parental care and non-reproductive periods, using one of the first applications of exponential random graph models in behavioral biology. Contrary to our predictions, we found that dominance networks showed few changes between early parental care and non-reproductive periods. We found no evidence that dominance interactions became more skewed towards larger individuals, became more frequent between similar-sized individuals, or became more biased towards a particular sex during parental care. However, we did find that there were relatively more dominance interactions between opposite-sex dyads in the early parental care period, which may be a by-product of increased sexual interactions during this time. This is the first study in behavioral ecology to compare social networks using exponential random graph modeling, and demonstrates a powerful analytical framework for future studies in the field.


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