A review of support tools to assess multi-sector interactions in the emerging offshore Blue Economy

Turschwell, MP; Ma, Huanzhi; Lacharité, Myriam; Abundo, Michael Lochinvar S.; Adams, John C.; Blanchard, Julia L.; Brain, E.; Buelow, CA; Bulman, Cathy; Condie, SA; Connolly, Rod M.; Dutton, Ian; Fulton, EA; Gallagher, Stephen; Maynard, Daniel S.; Plagányi, Éva E.; Porobić, Javier; Taelman, SE; Trebilco, Rowan; Woods, Gregory M.; Brown, Christopher J.

doi:10.1016/j.envsci.2022.03.016

Cited by 16 publications

(5 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… Sustainability (Switzerland) Rejeb et al (2023) [ 36 ] Examined scholarly discourse around the Food Supply Chain and COVID-19. 2019 to June 2022 Bibliometric; COVID-19; food security; food supply chain; food waste 287 All Bibliometric analysis using VOSviewer Environmental Science and Policy Turschwell et al (2022) [ 37 ] Reviewed the tools used to assess multi-sectoral interactions in the blue economy. up to 2021 Aquaculture; Multi-use platform; Offshore; Planning; Renewable energy; Sustainability 96 All PRISMA, Operational Maturity analysis, industry and thematic analysis Journal of Rural Studies Szymkowiak et al (2022) [ 38 ] Identified the issues faced by young farmers and fishers in the U.S. up to 2021 Ageing demographic; Beginning farmers; Capital assets; Graying of the fleet; Rural livelihood 76 All Systematic literature review using capital assets framework and expert interviews Sustainability (Switzerland) Edmondson et al (2022) [ 39 ] Reviewed adaptive management in fisheries context to compare how adaptive management was defined and applied and what was deemed necessary for implementation.…”

Section: Literature Surveymentioning

confidence: 99%

Drivers in the fisheries domain: A bibliometric and text mining analysis

Fernandes,

Sukthankar

2024

Heliyon

View full text Add to dashboard Cite

Section: Literature Surveymentioning

confidence: 99%

Drivers in the fisheries domain: A bibliometric and text mining analysis

Fernandes,

Sukthankar

2024

Heliyon

View full text Add to dashboard Cite

“…Table 1 contains a comprehensive list of all 27 studies considered for inclusion. Fishery (20) [28]; [29]; [30] ; [31]; [32]; [33]; [34]; [35]; [36]; [37]; [38]; [39]; [40]; [41]; [42]; [43]; [13]; [44]; [45]; [46]; Aquaculture (13) [47] ; [48]; [49]; [6]; [50]; [51]; [52]; [53]; [54]; [55]; [56]; [57]; [58]; Fig. 1 The steps of the review Fig.…”

Section: B Selection Processmentioning

confidence: 99%

“…Disease management [48] ; [59]; [45] Scheduling and planning [51]; [40]; [60]; [33]; [52]; [61]; [55]; [56]; [22]; [44]; [62]; Harvest regulations [47]; [31]; [44] Sustainability [63]; [34]; [36]; [19]; [38]; [56]; [44]; [64] Catch optimization [28]; [29]; [6]; [65]; [39]; [54]; [42]; [13];…”

Section: Associated Dss Topic Documentmentioning

confidence: 99%

Decision Support System in Fisheries Industry: Current State and Future Agenda

Panudju¹,

Rahardja²,

Nurilmala³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

Decision Support Systems (DSS) are systems that assist decision-makers and aim to synthesize domain and technical knowledge and package it so non-scientists can use and comprehend it. This study aims to compile initial empirical studies that can objectively reject or confirm the central hypothesis. The materials were retrieved after applying the filtered query across all sources. All search engine providers use five query strings. In each example, five findings were collected, sorted, and compared to one another, and 152 papers were generated. Seventy-six documents were discovered after applying the inclusion and exclusion criteria. Each of the 70 papers was independently examined and analyzed. The method of study followed a specific procedure explicitly developed to minimize the risk of researcher bias. It is primarily concerned with whether fisheries have decision-making systems and what empirical outcomes these systems produce, particularly in real-time analysis. The result shows a dearth of research on intelligent DSS, which accounts for less than 3% of all DSS types discussed in the article. This study offers academics and professionals an overview of the implementation of DSS. These new contributions imply the form of several different new contributions to further research. Furthermore, the possibility of identifying research gaps increases once merged with geoinformation technology or spatial information. We introduced a new model that combines spatial logistics techniques with GIS-based tracing and tracking. The envisioned logistics ensure spatial and logistical traceability in the process of fish products.

show abstract

“…Methodological challenges are seldom acknowledged in blue economy discourse. As we have illustrated in this paper, the blue economy consists of myriad projects across many sectors and regions of the world, making the academic literature very case study-centric (e.g., Depellegrin et al 2022; Pace, Saritas and Deidun 2023; Turschwell et al 2022). This is unsurprising as regions typically experience vastly different techno-industrial, socio-cultural, and physical-environmental processes, meaning case studies are often used to uncover these particularities.…”

Section: A Place-based Blue Economy Research Agendamentioning

confidence: 99%

Supporting places left to the sea: A place-based research agenda for regional coastal transformations in the blue economy

Harris,

Thompson

2023

Progress in Environmental Geography

View full text Add to dashboard Cite

The blue economy purportedly involves equitable and sustainable development across a range of ocean sectors spanning fisheries, aquaculture, tourism, shipping, seabed mining, oil and gas extraction, and renewable energy. Here, we argue that blue economy scholarship and policy gives insufficient attention to coastal regions – and the cities, towns, and villages within – that depend on these sectors. Rather than prioritising the profitability of corporations and expansion of industry, we advise actors to consider three transformative processes that are (re)shaping coastal regions. First, are techno-industrial processes for which we draw on the fourth industrial revolution literature, highlighting that coastal regions must adapt to rapidly changing technological innovations or risk facing decline. Second, are socio-cultural processes for which we draw on the left-behind places literature, which exemplifies spatial inequalities from declining and deindustrialised coastal regions. Third, are physical-environmental processes, highlighting geographically variable opportunities and challenges around natural resources, marine biodiversity, and climate change in coastal regions. We then promote place-based policymaking as a multi-level and participatory mode of managing these transformations. Finally, we present a blue economy research agenda to help navigate these transformative processes, and enable place-based solutions. The article intersects with broader literatures around ocean governance and sustainable transformations.

show abstract

A review of support tools to assess multi-sector interactions in the emerging offshore Blue Economy

Cited by 16 publications

References 51 publications

Drivers in the fisheries domain: A bibliometric and text mining analysis

Drivers in the fisheries domain: A bibliometric and text mining analysis

Decision Support System in Fisheries Industry: Current State and Future Agenda

Supporting places left to the sea: A place-based research agenda for regional coastal transformations in the blue economy

Contact Info

Product

Resources

About