Literature DB >> 27217551

Social networks and environmental outcomes.

Michele L Barnes1, John Lynham2, Kolter Kalberg3, PingSun Leung4.   

Abstract

Social networks can profoundly affect human behavior, which is the primary force driving environmental change. However, empirical evidence linking microlevel social interactions to large-scale environmental outcomes has remained scarce. Here, we leverage comprehensive data on information-sharing networks among large-scale commercial tuna fishers to examine how social networks relate to shark bycatch, a global environmental issue. We demonstrate that the tendency for fishers to primarily share information within their ethnic group creates segregated networks that are strongly correlated with shark bycatch. However, some fishers share information across ethnic lines, and examinations of their bycatch rates show that network contacts are more strongly related to fishing behaviors than ethnicity. Our findings indicate that social networks are tied to actions that can directly impact marine ecosystems, and that biases toward within-group ties may impede the diffusion of sustainable behaviors. Importantly, our analysis suggests that enhanced communication channels across segregated fisher groups could have prevented the incidental catch of over 46,000 sharks between 2008 and 2012 in a single commercial fishery.

Entities:  

Keywords:  environmental outcomes; homophily; shark bycatch; social networks; sustainability

Mesh:

Year:  2016        PMID: 27217551      PMCID: PMC4988561          DOI: 10.1073/pnas.1523245113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  8 in total

1.  An experimental study of homophily in the adoption of health behavior.

Authors:  Damon Centola
Journal:  Science       Date:  2011-12-02       Impact factor: 47.728

2.  The spread of behavior in an online social network experiment.

Authors:  Damon Centola
Journal:  Science       Date:  2010-09-03       Impact factor: 47.728

3.  Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks.

Authors:  Sinan Aral; Lev Muchnik; Arun Sundararajan
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-10       Impact factor: 11.205

4.  The contribution of influence and selection to adolescent peer group homogeneity: the case of adolescent cigarette smoking.

Authors:  S T Ennett; K E Bauman
Journal:  J Pers Soc Psychol       Date:  1994-10

5.  New paradigms for supporting the resilience of marine ecosystems.

Authors:  Terence P Hughes; David R Bellwood; Carl Folke; Robert S Steneck; James Wilson
Journal:  Trends Ecol Evol       Date:  2005-07       Impact factor: 17.712

6.  Identification of factors influencing shark catch and mortality in the Marshall Islands tuna longline fishery and management implications.

Authors:  D Bromhead; S Clarke; S Hoyle; B Muller; P Sharples; S Harley
Journal:  J Fish Biol       Date:  2012-03-21       Impact factor: 2.051

7.  The collective dynamics of smoking in a large social network.

Authors:  Nicholas A Christakis; James H Fowler
Journal:  N Engl J Med       Date:  2008-05-22       Impact factor: 91.245

8.  The spread of obesity in a large social network over 32 years.

Authors:  Nicholas A Christakis; James H Fowler
Journal:  N Engl J Med       Date:  2007-07-25       Impact factor: 91.245

  8 in total
  10 in total

1.  The diversity bonus in pooling local knowledge about complex problems.

Authors:  Payam Aminpour; Steven A Gray; Alison Singer; Steven B Scyphers; Antonie J Jetter; Rebecca Jordan; Robert Murphy; Jonathan H Grabowski
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-02       Impact factor: 11.205

2.  Emergence of a global science-business initiative for ocean stewardship.

Authors:  Henrik Österblom; Jean-Baptiste Jouffray; Carl Folke; Johan Rockström
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-07       Impact factor: 11.205

3.  What can be learned from fishers' perceptions for fishery management planning? Case study insights from Sainte-Marie, Madagascar.

Authors:  Thaïs A Bernos; Clodio Travouck; Naly Ramasinoro; Dylan J Fraser; Barbara Mathevon
Journal:  PLoS One       Date:  2021-11-15       Impact factor: 3.240

4.  Multiple social network influences can generate unexpected environmental outcomes.

Authors:  J Yletyinen; G L W Perry; P Stahlmann-Brown; R Pech; J M Tylianakis
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

5.  Integrating models of human behaviour between the individual and population levels to inform conservation interventions.

Authors:  Andrew D M Dobson; Emiel de Lange; Aidan Keane; Harriet Ibbett; E J Milner-Gulland
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-29       Impact factor: 6.237

6.  Disturbance modifies payoffs in the explore-exploit trade-off.

Authors:  Shay O'Farrell; James N Sanchirico; Orr Spiegel; Maxime Depalle; Alan C Haynie; Steven A Murawski; Larry Perruso; Andrew Strelcheck
Journal:  Nat Commun       Date:  2019-07-29       Impact factor: 14.919

7.  Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the future.

Authors:  J S Sayles; M Mancilla Garcia; M Hamilton; S M Alexander; J A Baggio; A P Fischer; K Ingold; G R Meredith; J Pittman
Journal:  Environ Res Lett       Date:  2019-08-23       Impact factor: 6.793

8.  Institutional multiplexity: social networks and community-based natural resource management.

Authors:  Michael Schnegg
Journal:  Sustain Sci       Date:  2018-03-15       Impact factor: 6.367

9.  Fundamental insights on when social network data are most critical for conservation planning.

Authors:  Jonathan R Rhodes; Angela M Guerrero; Örjan Bodin; Iadine Chadès
Journal:  Conserv Biol       Date:  2020-09-05       Impact factor: 6.560

10.  Social incentive factors in interventions promoting sustainable behaviors: A meta-analysis.

Authors:  Phu Nguyen-Van; Anne Stenger; Tuyen Tiet
Journal:  PLoS One       Date:  2021-12-08       Impact factor: 3.240

  10 in total

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