Social networks and environmental outcomes

Significance Understanding how social dynamics drive outcomes in environmental systems is critical to advancing global sustainability. We link comprehensive data on fishers’ information-sharing networks and observed fishing behaviors to demonstrate that social networks are tied to actions that can directly impact ecological health. Specifically, we find evidence that the propensity for individuals to share information primarily with others most similar to themselves creates segregated networks that impede the diffusion of sustainable behaviors—behaviors that could have mitigated the incidental catch of over 46,000 sharks in a single commercial fishery between 2008 and 2012. Our results suggest having a better understanding of social structures and bolstering effective communication across segregated networks has the potential to contribute toward more sustainable environmental outcomes. 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.

[1]  BrodziakJon,et al.  Model selection and multimodel inference for standardizing catch rates of bycatch species: a case study of oceanic whitetip shark in the Hawaii-based longline fishery , 2013 .

[2]  N. Christakis,et al.  The Spread of Obesity in a Large Social Network Over 32 Years , 2007, The New England journal of medicine.

[3]  Pierre Kleiber,et al.  Comparison of logbook reports of incidental blue shark catch rates by Hawaii-based longline vessels to fishery observer data by application of a generalized additive model , 2002 .

[4]  M. Jackson,et al.  An Economic Model of Friendship: Homophily, Minorities and Segregation , 2007 .

[5]  P. V. Marsden,et al.  Core Discussion Networks of Americans , 1987 .

[6]  E. Ostrom,et al.  Rules, Games, and Common-Pool Resources , 1994 .

[7]  J. Brodziak,et al.  Model selection and multimodel inference for standardizing catch rates of bycatch species: a case study of oceanic whitetip shark in the Hawaii-based longline fishery , 2013 .

[8]  P. Lazarsfeld,et al.  Friendship as Social process: a substantive and methodological analysis , 1964 .

[9]  Damon Centola Damon Centola Behavior An Experimental Study of Homophily in the Adoption of Health , 2011 .

[10]  S. Harley,et al.  Identification of factors influencing shark catch and mortality in the Marshall Islands tuna longline fishery and management implications. , 2012, Journal of fish biology.

[11]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[12]  Amy R. Poteete,et al.  Heterogeneity, Group Size and Collective Action: The Role of Institutions in Forest Management , 2004 .

[13]  C. Folke RESILIENCE: THE EMERGENCE OF A PERSPECTIVE FOR SOCIAL-ECOLOGICAL SYSTEMS ANALYSES , 2006 .

[14]  Rebecca L. Lewison,et al.  Understanding impacts of fisheries bycatch on marine megafauna , 2004 .

[15]  B. Golub,et al.  How Homophily Affects the Speed of Learning and Best Response Dynamics , 2012 .

[16]  Jie Wu,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2003 .

[17]  G. Robins Doing Social Network Research: Network-based Research Design for Social Scientists , 2015 .

[18]  Jeffrey C. Mangel,et al.  Shark interactions in pelagic longline fisheries , 2008 .

[19]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[20]  B. Fortin,et al.  Some Challenges in the Empirics of the Effects of Networks , 2015, SSRN Electronic Journal.

[21]  D. Bellwood,et al.  New paradigms for supporting the resilience of marine ecosystems. , 2005, Trends in ecology & evolution.

[22]  Noah E. Friedkin,et al.  Structural Cohesion and Equivalence Explanations of Social Homogeneity , 1984 .

[23]  Christian Steglich,et al.  Dynamics of adolescent friendship networks and smoking behavior: social network analyses in six European countries. , 2009, Social science & medicine.

[24]  James A. Wilson Fishing for Knowledge , 1990 .

[25]  Örjan Bodin,et al.  Social Networks and Natural Resource Management , 2011 .

[26]  Dianne A. Van Hemert,et al.  Ethnic boundaries and personal choice. Assessing the influence of individual inclinations to choose intra-ethnic relationships on pupils' networks , 2004, Soc. Networks.

[27]  S. Mark Howden,et al.  The role of networks in transforming Australian agriculture , 2014 .

[28]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[29]  Gavin Fay,et al.  Fleet dynamics and fishermen behavior: lessons for fisheries managers , 2006 .

[30]  J. Moody Race, School Integration, and Friendship Segregation in America1 , 2001, American Journal of Sociology.

[31]  Arun Sundararajan,et al.  Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks , 2009, Proceedings of the National Academy of Sciences.

[32]  Damon Centola An Experimental Study of Homophily in the Adoption of Health Behavior , 2011, Science.

[33]  Hein de Vries,et al.  Article in Press G Model Social Networks Dynamics of Adolescent Friendship Networks and Smoking Behavior , 2022 .

[34]  K. Bauman,et al.  The contribution of influence and selection to adolescent peer group homogeneity: the case of adolescent cigarette smoking. , 1994, Journal of personality and social psychology.

[35]  N. Christakis,et al.  SUPPLEMENTARY ONLINE MATERIAL FOR: The Collective Dynamics of Smoking in a Large Social Network , 2022 .

[36]  PingSun Leung,et al.  When is brokerage negatively associated with economic benefits? Ethnic diversity, competition, and common-pool resources , 2016, Soc. Networks.

[37]  Peter M. Blau,et al.  Crosscutting Social Circles: Testing a Macrostructural Theory of Intergroup Relations , 1984 .

[38]  PingSun Leung,et al.  The influence of ethnic diversity on social network structure in a common-pool resource system: implications for collaborative management , 2013 .

[39]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[40]  M. Macy,et al.  Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.

[41]  E. Rogers Diffusion of Innovations , 1962 .

[42]  W. Walsh,et al.  Decreases in Shark Catches and Mortality in the Hawaii-Based Longline Fishery as Documented by Fishery Observers , 2009 .