‘Bunkering down’: How one community is tightening social‐ecological network structures in the face of global change

Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social‐ecological network in a common‐pool r...

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Published in:People and nature (Hoboken, N.J.) Vol. 4; no. 4; pp. 1032 - 1048
Main Authors: Barnes, Michele L., Jasny, Lorien, Bauman, Andrew, Ben, Jon, Berardo, Ramiro, Bodin, Örjan, Cinner, Joshua, Feary, David A., Guerrero, Angela M., Januchowski‐Hartley, Fraser A., Kuange, John T., Lau, Jacqueline D., Wang, Peng, Zamborain‐Mason, Jessica
Format: Journal Article
Language:English
Published: London John Wiley & Sons, Inc 01-08-2022
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Abstract Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social‐ecological network in a common‐pool resource system faced with escalating social and environmental change over the past two decades. We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social‐ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social‐ecological ties). Specifically, we hypothesized that households will increasingly form tight‐knit, bonding social and social‐ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4). Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource‐dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social‐ecological network structures and interacting with like‐minded, similar others. We did not find strong support for H4. Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog.
AbstractList Abstract Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social‐ecological network in a common‐pool resource system faced with escalating social and environmental change over the past two decades. We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social‐ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social‐ecological ties). Specifically, we hypothesized that households will increasingly form tight‐knit, bonding social and social‐ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4). Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource‐dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social‐ecological network structures and interacting with like‐minded, similar others. We did not find strong support for H4. Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources. Read the free Plain Language Summary for this article on the Journal blog.
Complex networks of relationships among and between people and nature (social-ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social-ecological network in a common-pool resource system faced with escalating social and environmental change over the past two decades. We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social-ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social-ecological ties). Specifically, we hypothesized that households will increasingly form tight-knit, bonding social and social-ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4). Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource-dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social-ecological network structures and interacting with like-minded, similar others. We did not find strong support for H4. Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources.
Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics.We empirically examine the evolution of a social‐ecological network in a common‐pool resource system faced with escalating social and environmental change over the past two decades.We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social‐ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social‐ecological ties). Specifically, we hypothesized that households will increasingly form tight‐knit, bonding social and social‐ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4).Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource‐dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social‐ecological network structures and interacting with like‐minded, similar others. We did not find strong support for H4.Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources.Read the free Plain Language Summary for this article on the Journal blog.
Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social‐ecological network in a common‐pool resource system faced with escalating social and environmental change over the past two decades. We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social‐ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social‐ecological ties). Specifically, we hypothesized that households will increasingly form tight‐knit, bonding social and social‐ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4). Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource‐dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social‐ecological network structures and interacting with like‐minded, similar others. We did not find strong support for H4. Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog.
Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social‐ecological network in a common‐pool resource system faced with escalating social and environmental change over the past two decades. We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social‐ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social‐ecological ties). Specifically, we hypothesized that households will increasingly form tight‐knit, bonding social and social‐ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4). Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource‐dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social‐ecological network structures and interacting with like‐minded, similar others. We did not find strong support for H4. Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog.
Author Wang, Peng
Bauman, Andrew
Berardo, Ramiro
Cinner, Joshua
Bodin, Örjan
Barnes, Michele L.
Kuange, John T.
Jasny, Lorien
Feary, David A.
Lau, Jacqueline D.
Guerrero, Angela M.
Ben, Jon
Zamborain‐Mason, Jessica
Januchowski‐Hartley, Fraser A.
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2019; 10
2019; 13
2004; 26
2015; 77
2019; 14
1999; 286
2020; 10
2014; 28
2018; 43
1979
2014; 20
2019; 286
2018; 8
1990
2000; 15
2015; 86
2019; 24
1985; 91
2014; 14
2016; 40
2007; 62
2013; 110
2009; 19
2012; 22
2021; 46
2010; 36
1987; 52
2020; 42
2019; 2
2019; 33
2019; 1
2015; 520
2019; 35
1984; 46
2019; 39
1997
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2001; 27
2012; 38
2001; 23
2012; 33
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1990; 2
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2020; 26
2020; 25
2014; 140
2018; 12
2005; 15
1998; 7
2008; 40
2020; 29
2010; 54
2017; 8
2017; 43
2019; 56
2017; 45
2016; 76
2020; 126
1970; 76
2020; 125
2017; 114
2017; 9
2017; 357
2007; 36
2014b; 8
2007; 29
2013; 18
2009; 52
2020; 4
2020; 2
2014; 2
2000
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2019; 238
1954; 18
2007; 26
2015; 2
1998; 27
2021; 5
2015; 5
2012
2006; 11
1973; 78
2017; 22
2000; 22
2002; 298
2011; 40
2003; 79
2009
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2005
2003
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2017; 210
1998; 21
2015; 8
2001; 64
2004; 10
1938; 1
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1956; 63
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Snippet Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have...
Complex networks of relationships among and between people and nature (social-ecological networks) play an important role in sustainability; yet, we have...
Abstract Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we...
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SubjectTerms adaptation
Bonding strength
Bunkering
Clustering
coastal communities
Communication
Cooperation
COVID-19
Ecology
Environmental changes
Fault lines
Fish
Fishing
Fishing communities
Geological faults
Households
Hypotheses
Innovations
Norms
Qualitative analysis
Risk reduction
Risk taking
social capital
Social interactions
social network
Social networks
Social organization
Sustainability
temporal exponential random graph model
transformation
Title ‘Bunkering down’: How one community is tightening social‐ecological network structures in the face of global change
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fpan3.10364
https://www.proquest.com/docview/2696779916
https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-207602
https://doaj.org/article/561a83844522431cb2d90491df9106e5
Volume 4
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