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Trends in Ecology & Evolution
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Trends in Ecology & Evolution
Article
License: CC BY
Data sources: UnpayWall
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Edinburgh Research Explorer
Article . 2019
License: CC BY
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Improving Environmental Interventions by Understanding Information Flows

Authors: De Lange, E; Milner-Gulland, EJ; Keane, A;

Improving Environmental Interventions by Understanding Information Flows

Abstract

Conservationists are increasingly interested in changing human behaviour. One understudied aspect of such interventions is information flow. Different patterns of interpersonal communication and social structures within communities influence the adoption of behavioural changes through social influence and social reinforcement. Understanding the structure of information flow in a group, using tools such as social network analysis, can therefore offer important insights for interventions. For example, communications may be targeted to highly connected opinion leaders to leverage their influence, or communication may be facilitated between distinct subgroups to promote peer learning. Incorporating these approaches into conservation interventions can promote more effective behaviour change. This review introduces conservation researchers and practitioners to key concepts underpinning information flows for interventions targeting networks of individuals.

Country
United Kingdom
Related Organizations
Keywords

Communication, Humans

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    50
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 10%
Top 10%
Top 1%
Green
hybrid