Using mental models to quantify linear and non-linear relationships in complex fishery systems

Murphy, Robert; Estabrooks, Austin; Gauvin, John R.; Gray, Steven; Kroska, Anita C.; Wolf, Nathan; Harris, Bradley P.

doi:10.1016/j.marpol.2021.104695

Cited by 7 publications

(7 citation statements)

References 32 publications

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“…This is corroborated by other research where participants of the Bering Sea bottom trawl fleet in Alaska specified safety concerns associated with the process of discarding still-alive bycatch while on-deck (Murphy et al, 2021). This also highlights the importance of considering the effect on vessel safety when evaluating modifications to fishing gear or operations as a way to reduce bycatch or other incidental fishing impacts.…”

Section: Fishing Practicessupporting

confidence: 70%

“…Previous work with fishermen from two of the fisheries represented at the F.I.S.H. workshop suggested that the advancement of strategies and techniques to increase target catch (i.e., catch-per-unit-effort) has many benefits, such as increased profits, shorter fishing trips, and lowered fuel usage (Murphy et al, 2021). While these improvements clearly benefit the fishermen and fishing companies, more rapid fulfillment of harvest quotas would also likely result in less total benthic contact, which has been a focus of arguments for ecosystem-based management (Crowder et al, 2008), and reduced opportunities for interactions with non-target catch.…”

Section: Discussionmentioning

confidence: 99%

“…These results suggest that dynamic fishing conditions (e.g., shifting species distributions), coupled with various gear restrictions, may create barriers for fishermen to avoid bycatch or develop new strategies under exempted fishing permits. Therefore, we recommend that research be conducted, such as via social science methods (e.g., Murphy et al, 2021), to characterize the tradeoffs associated with gear and other regulations to minimize the likelihood of unintended environmental consequences.…”

Section: Gear Configuration: What Effect Does Gear Configuration Have...mentioning

confidence: 99%

“…For example, bycatch reduction devices aim to increase trawl selectivity by directing non-target catch away from or through fishing nets by taking advantage of differences in target versus non-target species morphology, behavior, and stimuli response (Brewer et al, 1998). Similarly, improvements in catch efficiency can result in reduced effort, and therefore, lead to fewer seafloor-gear contact events and reduced fuel usage, thereby reducing greenhouse gas emissions and overall environmental impact (Murphy et al, 2021). These improvements could manifest through several aspects of trawling, such as reduced benthic interaction, lower bycatch, decreased discard mortality, and decreased gear loss (i.e., derelict or ghost gear, marine debris).…”

Section: Introductionmentioning

confidence: 99%

“…Implementation of these innovative fishing strategies and technologies by fishermen has been limited despite research efforts in conservation engineering. This is potentially due to incorrect incentives, or regulatory, industrial, environmental, and financial constraints (e.g., Cunningham et al, 2016;Eayrs and Pol, 2019;Feekings et al, 2019;Murphy et al, 2021). The motivations of industry could also affect voluntary uptake of innovative approaches, as well as engagement with industry in the development and evaluation of conservation engineering projects (Eayrs and Pol, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Barriers to Achieving Conservation Engineering Goals in Commercial Trawl Fisheries

et al. 2022

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The advancement of conservation practices in global trawl fisheries has been impeded in part by a lack of a collective understanding of the most relevant and broad-scale knowledge-needs, along with the identification of potential barriers to addressing these knowledge-needs. Using both an online survey and an in-person workshop, we engaged a diversity of fishing industry stakeholders including scientists, technology companies, trawl net makers, and fishermen working with North Pacific, United States, trawl fisheries to identify and prioritize areas in which further knowledge is required for successful implementation of conservation engineering practices. In addition, we identified barriers to addressing these knowledge-needs. Knowledge-needs related to fishing gear performance were identified among the top priorities, including several areas targeted at improving fishing efficiency that could further advance the sustainability of well-managed trawl fisheries. To better understand the composition and behavior of target versus non-target catch, workshop participants identified the importance of closing data and technology gaps. This highlights areas for potential collaboration between fishermen, researchers, and technology companies to address research prioritized by the end-user. Further, results from the workshop emphasized a need for industry-driven training and workshops focused on elevating fishermen skill for newer entrants through peer-learning and knowledge-sharing to achieve objectives like better non-target avoidance and increased fishing efficiency of the target species. Addressing these prioritized knowledge-needs, by first working toward overcoming the industry-identified barriers, may aid in increasing uptake of conservation practices, thereby contributing to the long-term sustainability of these fisheries and associated social-ecological systems.

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Section: Fishing Practicessupporting

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Section: Gear Configuration: What Effect Does Gear Configuration Have...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Barriers to Achieving Conservation Engineering Goals in Commercial Trawl Fisheries

et al. 2022

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Principles for a Case Study Approach to Social Tipping Points

Hodbod,

Milkoreit,

Baggio

et al. 2024

Springer Climate

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Recent interdisciplinary study has led to significant conceptual advances and a broad empirical evidence base for ecological and climate tipping points. However, the literature has yet to present convincing empirical case studies of social tipping, as the data-driven identification of social tipping points remains a challenge. Arguing that the barriers to such empirical research are largely methodological in nature, we develop methodological guidance to identify social tipping processes in social-ecological system case studies, based on four key elements—multiple stable states, self-reinforcing feedback dynamics, abruptness, and limited reversibility. We apply our approach to food system changes linked to the Flint Water Crisis between 2010 and 2020. We identify seven principles that can simultaneously serve as a seven-step process for social tipping point analysis in any social-ecological system. We highlight two major challenges: the limited availability of high quality, longitudinal social data, and the possibility that value-driven social processes tend to curb abruptness and non-linear change. Utilizing the seven principles to study historical, ongoing, or anticipated cases of social tipping processes could facilitate a deeper understanding of the conditions and limitations of non-linear social change and, therefore, inform efforts to facilitate change towards more sustainable futures.

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