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THE ECOLOGY OF BEHAVIOURAL CONTAGION IN NATURAL SYSTEMS

THE ECOLOGY OF BEHAVIOURAL CONTAGION IN NATURAL SYSTEMS
自然系统中行为传染的生态学
批准号:
NE/S010335/1
负责人:
Ben Sheldon
金额:
$81.96万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
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英文摘要
Across the animal kingdom, the transfer of social information shapes almost all aspects of life. Information transmission takes place in many contexts, and may involve direct communication or information spreading via inadvertent social cues, for instance when individuals learn information through observing others. As individuals gain information and adopt new behaviours, this can then be passed onto others, and the behaviour can spread through the society. For instance, in the 1940's, British tits (Paridae) were observed opening milk bottle tops, and this behaviour appeared to transmit across the population. By transmitting from individual to individual, the social spread of behaviour has the potential to cause both short-term changes (such as modifications to foraging behaviour) as well as long-term multi-generational processes (such as the emergence of culture). By definition, social transmission depends upon the fine-scale social connections between individuals, and the 'social networks' of many animal societies are known to hold much relevance to the spread of behaviour. Nevertheless, the mode by which behaviour spreads, and the factors that shape this, remain less well understood. In particular, two contrasting hypotheses exist. A long-held hypothesis formed in the 1970's which has been highly influential across diverse systems (ranging from computational networks to animal societies) argues that weak social links often bridge the network and therefore enable increased diffusion potential in contrast to strong links that are usually between individuals who are connected within small clusters - or cliques - anyway. However, a more recent hypothesis that is currently revolutionizing the sociology of behaviour spread states that if adopting a behaviour requires social reinforcement, then strong ties within clustered cliques of individuals become most important. Yet, testing these hypotheses and examining the social, and ecological factors shaping behaviour spread within animal systems requires (i) large-scale tracking of wild individuals within the same social system, (ii) the ability to monitor behaviour at high resolution and, crucially, (iii) experimental manipulations of the potential governing factors.Here, we will use an exceptionally detailed study of wild birds (great tits) at Wytham, near Oxford, involving thousands of individuals tracked over their entire lifetimes, to understand how behaviour spreads. Our previous work has demonstrated that behaviour is transmitted across social ties between these birds, and that it is possible to manipulate population-level components and individual-level sociality using novel automated selective feeders to control precisely which individuals can feed in each area of the woodland. We will combine our past protocols to allow monitoring and manipulation of individuals' social ties and behaviour to test the way behaviour spreads and how ecological and individual factors influence this. First, by manipulating fundamental ecological factors (density and mixing) we will determine how these affect network structure and the consequences for behaviour spread. Second, we will test how differences in individuals' social characteristics affect the flow of new behaviours by manipulating the social start points of behaviour and the presence of particular individuals. In addition, we will examine how behavioural changes may feedback onto social structure itself. Our overall goal is to develop an integrated understanding of the interplay between ecology, sociality, and the spread of behaviour. These insights can then be used to understand the social consequences of ecological factors, the role of individual characteristics in shaping transmission processes, and allow the prediction how behavioural spread may alter under different scenarios, in changing conditions and when subject to perturbations.
期刊论文(10)
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科研奖励(0)
会议论文
DOI: 10.1098/rsos.211240
发表时间: 2021-11
期刊: Royal Society open science
影响因子: 3.5
作者: [Arlidge WNS, Firth JA, Alfaro-Shigueto J, Ibanez-Erquiaga B, Mangel JC, Squires D, Milner-Gulland EJ]
通讯作者: Milner-Gulland EJ
Variation in local population size predicts social network structure in wild songbirds
当地人口规模的变化预测了野生鸣禽的社交网络结构
DOI: 10.1111/1365-2656.14015
发表时间: 2023
期刊: Journal of Animal Ecology
影响因子: 4.8
作者: [Beck K]
通讯作者: Beck K
DOI: 10.7554/elife.85703
发表时间: 2023-05-02
期刊: eLife
影响因子: 7.7
作者: [Beck KB, Sheldon BC, Firth JA]
通讯作者: Firth JA
Spatial variation in avian phenological response to climate change linked to tree health
鸟类物候反应对气候变化的空间变化与树木健康相关
DOI: 10.1038/s41558-021-01140-4
发表时间: 2021
期刊: Nature Climate Change
影响因子: 30.7
作者: [Cole E]
通讯作者: Cole E
Evolutionary Ecology of Phenological Coadaptation across Scales
  • 批准号:
    EP/X024520/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $340.55万
  • 财政年份:
    2022
  • 负责人:
    Ben Sheldon
  • 依托单位:
Understanding within- and between-population variation in responses to climate variability and extreme climatic events
  • 批准号:
    NE/X000184/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $82.74万
  • 财政年份:
    2022
  • 负责人:
    Ben Sheldon
  • 依托单位:
The social dynamics of cultural behaviour: transmission biases and adaptive social learning strategies in wild great tits.
  • 批准号:
    BB/L006081/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $77.87万
  • 财政年份:
    2014
  • 负责人:
    Ben Sheldon
  • 依托单位:
Spatial components of plasticity in tit phenology: responses, constraints and amelioration
  • 批准号:
    NE/K006274/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $75.93万
  • 财政年份:
    2013
  • 负责人:
    Ben Sheldon
  • 依托单位:
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