The long view on demographic effects on social networks: a response to comments on Shizuka and Johnson
The long view on demographic effects on social networks: a response to comments on Shizuka and Johnson
复制标题
人口对社交网络影响的长远观点:对静香和约翰逊评论的回应
DOI:
10.1093/beheco/arz184
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发表时间:
2019
影响因子:
2.4
通讯作者:
Simmons, Leigh
中科院分区:
文献类型:
--
作者:
Shizuka, Daizaburo;Johnson, Allison E;Simmons, Leigh
Births, deaths, and dispersal are universal processes in animal populations. In our review (Shizuka and Johnson 2019), we illustrate how these fundamental demographic processes must play a role in shaping animal social networks. As Ilany (2019) elegantly put it, these are simple processes that can generate complex societies. Spiegel and Pinter-Wollman (2019) take this thinking a step further and present an integrative framework embedding these demographic effects within other ecological factors that shape animal societies. Vander Wal and Webber’s (2019) comment on the role of social networks on density dependence and eco-evolutionary dynamics exemplify the type of extensions that we hope this review will instigate. Here, we wish to highlight two key themes that emerge from the various commentaries: causes of variation in responses to demographic effects, and the promise of technological advances in addressing some key questions about the effects of demography on social networks.Maldonado-Chaparro and Farine (2019) point out that demographic processes do not always lead to detectable changes in social structure and dynamics. For example, age-related death of individuals may not have the same effect as the loss of that individual due to predation. In the former case, other individuals may be able to anticipate the eventual demise of one of their members, and the resulting social dynamics may reduce the impact of the loss of those individuals (Shizuka and Johnson 2019). But a larger question worth asking is whether demographic processes are important only in cases where they result in detectable changes to social structure dynamics. Because the turnover of individuals is a universal feature of societies, our challenge is to find out why societies vary in their responses to demographic change (Rubenstein 2019). From this viewpoint, understanding what promotes stability and dynamism of social structure in the face of demographic change becomes just as important as the ability to detect change when it happens. Taking the hypothetical example of an individual’s death, what might be the social dynamics that mitigate network change when the death of that individual can be anticipated? Are such social behaviors under selection to promote social stability, and if so, how do individuals (and which individuals) gain fitness benefits from social stability? Alternatively, as both Kulahci (2019) and Rubenstein (2019) point out, stability or resilience may be an underlying feature of certain societies such as those with fission–fusion dynamics.
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影响因子:
2.4
作者:
I. Kulahci
通讯作者:
I. Kulahci
影响因子:
2.4
作者:
E. Wal;Quinn M. R. Webber
通讯作者:
Quinn M. R. Webber
影响因子:
2.4
作者:
A. Ilany
通讯作者:
A. Ilany
影响因子:
2.4
作者:
Maldonado-Chaparro;Farine
通讯作者:
Farine
影响因子:
2.4
作者:
O. Spiegel;N. Pinter
通讯作者:
N. Pinter