Project overview
Funder: Marine Management Organisation through the Fisheries and Seafood Scheme
Over recent times the UK fishing industry has experienced a series of systemic shocks that have included changes in regulatory regime and trading arrangements (Brexit), modified supply and demand (COVID-19), and threats to profitability and livelihoods (fuel crisis exacerbated by the war in Ukraine). Changes in regulations such as the seasonal scallop closure in parts of the English Channel has also had potential impacts on the fishing industry which need to be understood.
From a systems perspective, these interacting events can have both negative and positive consequence for the marine fisheries resource operating through trade-offs and synergies. Declines in activity can have negative impacts on the fishers over the short term while allowing stocks an opportunity to recover to provide longer-term benefits.
This project aims to use novel interdisciplinary methods through a systems approach that combine geolocation data, social media data, economic data and social science to quantify the response of the fishing industry and fish stocks to systemic shocks.
This will facilitate the development of greater understanding of how resources may be more sustainably managed in the face of future threats.
Over recent times the UK fishing industry has experienced a series of systemic shocks that have included changes in regulatory regime and trading arrangements (Brexit), modified supply and demand (COVID-19), and threats to profitability and livelihoods (fuel crisis exacerbated by the war in Ukraine). Changes in regulations such as the seasonal scallop closure in parts of the English Channel has also had potential impacts on the fishing industry which need to be understood.
From a systems perspective, these interacting events can have both negative and positive consequence for the marine fisheries resource operating through trade-offs and synergies. Declines in activity can have negative impacts on the fishers over the short term while allowing stocks an opportunity to recover to provide longer-term benefits.
This project aims to use novel interdisciplinary methods through a systems approach that combine geolocation data, social media data, economic data and social science to quantify the response of the fishing industry and fish stocks to systemic shocks.
This will facilitate the development of greater understanding of how resources may be more sustainably managed in the face of future threats.
