Understanding Factors Affecting Fishers’ Wellbeing in the U.S. Virgin Islands through the Lens of Heuristic Modelling

Abstract

Ongoing efforts to improve U.S. Caribbean fisheries management include increased consideration for human dimensions data and increased stakeholder input and engagement. Given the significant pressure that the local fisheries have sustained due to environmental degradation, climate change, storms and hurricanes, and overharvesting, combined with the critical data gaps that exist in both natural and human dimensions, it becomes particularly important to understand fishers’ perceptions and aspects influencing them to promote efforts that will maximize the wellbeing of these social-ecological systems. In this study, data collected through surveys with fishers in the U.S. Virgin Islands were used to develop a correlation model to test relationships between variables using a heuristic model, the Anthropic Impact Assessment Model (AIAM) as the basis. Findings support the application of heuristic models, such as the AIAM, to develop hypotheses and test relationships to understand complex fishery social-ecological systems. The most significant findings with implications for decision making in the region include support for considering fishers’ wellbeing as an indicator of ecosystem health and for using fishers’ local ecological knowledge in the management process, particularly under data-poor conditions, for information that can be used to better target outreach and education efforts, as well as more effective recovery plans to promote resilience and adaptation to environmental change, including the impacts of natural disasters. Results of this study and future analyses using similar approaches can be used to guide the incorporation of human dimensions data into the decision-making process in the U.S. Caribbean and elsewhere.