ORCID Profile
0000-0002-9014-4838
Current Organisation
University of Exeter
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 07-2021
Publisher: Wiley
Date: 12-07-2022
DOI: 10.1111/PUAR.13518
Abstract: Responding to disastrous wildfires traversing geographical scales requires multi‐actor collaboration to address a series of interdependent operational tasks. While this type of distributed collective action problem is salient across governance contexts, less is known about if and how collaboration helps in idual actors effectively address their tasks. Applying a novel network‐centric method to wildfire responder networks in Canada and Sweden, this study shows that when actors working on the same tasks collaborate, and/or when one actor addresses two interdependent tasks, effectiveness increases. The number of collaborative ties an actor has with others does not enhance effectiveness. Furthermore, when the chain of command is unclear, and/or when actors lack recent disaster management experience and/or pre‐existing collaborative relationships, effectiveness only increases if multiple actors collaborate over multiple interdependent tasks. The results have implications for disaster response agencies, and they provide valuable insights for collaborative responses to significant societal and environmental challenges.
Publisher: Elsevier BV
Date: 05-2022
Publisher: Wiley
Date: 22-06-2022
DOI: 10.1002/PAN3.10364
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.
Publisher: Springer Science and Business Media LLC
Date: 10-08-2020
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Lorien Jasny.