THE ECOLOGY OF BEHAVIOURAL CONTAGION IN NATURAL SYSTEMS

Lead Research Organisation: University of Oxford
Department Name: Biology

Abstract

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.

Planned Impact

The proposed project is directed at advancing the fundamental understanding of the relationship between ecology, sociality and the spread of behaviour. Consequently, the primary benefits are not based on immediate practical application. Nevertheless, understanding the spread of behaviour is widely recognized as having important implications across animal species, including for humans. Impact outside of this academic field will be predominantly in the form of the development of novel technologies, public understanding of science and addressing issues in conservation.

Firstly, by developing and successfully implementing the RFID data-recording systems that the project relies upon, this work promotes the utilization of automated tracking systems. Such advances in RFID systems, particularly in allowing automated treatments/experiments to be applied, will expand our ability to track animals and interact with them. This technology is widely extendable for various applications, ranging from conservation projects in the wild animals, reducing the need for laboratory-based experiments, and improving welfare of captive animals. The broad applications of our "smart RFID systems" have attracted global interest over a range of systems, which will be explored and developed within this project.

Secondly, as evidenced by our previous work within our study system, this project provides an exceptional valuable opportunity for public engagement with science at a large scale. Previous work has received significant public attention and frequently has been ranked within the top 1% of scientific research for media dissemination. Given the considerable public interest in the parallels between humans and other animals in terms of the spread of behaviour, learning and sociality, along with the study species (a common popular garden bird), we expect exceptionally high public interest in this work. We will continue to foster our involvement with Oxford University's Press office, and a new initiative that aims to make the primary literature freely available to children ("Frontiers for Young Minds"), to ensure this work can be utilised for maximal public engagement with science.

Finally, conversation practitioners often highlight the importance of understanding social spread of behaviour for various applied matters. Therefore this project clearly holds potential to directly address such issues. Further, by advancing our understanding of how changes to ecological (external) factors influence the population, this holds direct parallels with how anthropogenic-driven change may affect wildlife. We will take full advantage of this potential for aiding applied conservation efforts by hosting a workshop engage practitioners with this work, and determine how our findings and future plans can be shaped or implemented to address direct issues.

Publications

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Description The work on this grant has been used to ask how varying ecological conditions determine the way that information spreads in populations. Our work has shown that (i) manipulating density had limited effects on the spread of simple information, but that (ii) it has a strong effect on the operation of neophobia. Further (iii) we have shown, using replicate social networks, measured over 1000 times, that the structure of these networks has an important effect on the operation of different social learning rules.
Exploitation Route Informs methods to control the spread of information in natural populations.
Sectors Other

 
Description The named PDRA on this award, Dr Josh Firth used insights from the theoretical ideas developed as part of this work to contribute to work on modelling the transmission of Sars Cov-2 in real world settings, as reported in two papers: Firth et al. (2020) Nature Medicine (https://www.nature.com/articles/s41591-020-1036-8) and Pung et al. 2022 Nature Comms (https://www.nature.com/articles/s41467-022-29522-y). The results of the modelling in the first paper were presented by Firth and colleagues to SPI-M subgroup of SAGE in 2020, but I am unsure whether direct impact on policy can presently be demonstrated.
First Year Of Impact 2020
Sector Healthcare
Impact Types Societal

 
Title Bird breeding data for Wytham Woods, Oxfordshire, UK, 2020 and 2021 
Description This dataset contains information on the following: nest building, identity of breeding pairs, date when the first egg is laid, number of eggs, hatch date and the number and condition of fledglings for great tits, blue tits, marsh tits and coal tits. The data presented were collected in Wytham Woods, Oxfordshire, UK during April and June in 2020 and 2021 by Keith McMahon, Sam Croft and Kristina Beck, as part of a long-term nestbox project on the breeding biology of birds. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1), The ecology of behavioural contagion in natural systems. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/ae6f821a-35a1-4a37-af4d-ca7cb1c83a10
 
Title Bird ringing records from Wytham Woods, Oxfordshire, UK during 2020 and 2021 
Description This dataset contains information about the ringing records of mainly great tits, blue tits, marsh tits and coal tits, and a few other bird species. The data were collected in Wytham woods, Oxfordshire, UK during 2020 and 2021, as part of a long-term population monitoring project on the breeding biology and behaviour of birds. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/af4c9b5a-fba9-4133-b782-2a2cbc927280
 
Title Local population density of woodland birds from a manipulation experiment in Wytham Woods, Oxfordshire, UK 2021 
Description This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. Population density was manipulated by programming automated feeders to only open for a specific set of individuals (creating low- and high-density treatments). Local population densities were recorded using automated bird feeders at six experimental and two control sites prior to and during the manipulation. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1, The ecology of behavioural contagion in natural systems.) 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323
 
Title Recordings of the discovery of novel food patches in common woodland birds in Wytham Woods, Oxfordshire, UK 2021 
Description This dataset contains information about the recordings of great tits, blue tits, marsh tits and nuthatches discovering novel food patches in relation to manipulated local population densities (see 1a4dcbb3-c4fb-4bd4-acb3-d03932de9323). Prior to and during the density manipulation experiment, novel feeders were placed at random locations and the discovery of these was recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. Data collection was performed by Keith McMahon, Sam Croft and Kristina Beck. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1), The ecology of behavioural contagion in natural systems. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://catalogue.ceh.ac.uk/id/e250ae89-2e1f-4664-9092-5a8593d50fdf