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Harnessing the diversity of small-scale actors is key to the future of aquatic food systems

Small-scale fisheries and aquaculture (SSFA) provide livelihoods for over 100 million people and sustenance for ~1 billion people, particularly in the Global South. Aquatic foods are distributed through diverse supply chains, with the potential to be highly adaptable to stresses and shocks, but face a growing range of threats and adaptive challenges. Contemporary governance assumes homogeneity in SSFA despite the diverse nature of this sector. Here we use SSFA actor profiles to capture the key dimensions and dynamism of SSFA diversity, reviewing contemporary threats and exploring opportunities for the SSFA sector. The heuristic framework can inform adaptive governance actions supporting the diversity and vital roles of SSFA in food systems, and in the health and livelihoods of nutritionally vulnerable people-supporting their viability through appropriate policies whilst fostering equitable and sustainable food systems.
- United States Department of the Interior United States
- James Cook University Australia
- Wildlife Conservation Society United Kingdom
- Wageningen University & Research Netherlands
- James Cook University Australia
550, 910, 333, Social policy, Life Science, 15 Vida de ecosistemas terrestres, 15 Life on Land, Climate-change policy, 14 Life Below Water, 004, 14 Vida submarina, Sustainability, Animal Science and Zoology, Agronomy and Crop Science, Food Science
550, 910, 333, Social policy, Life Science, 15 Vida de ecosistemas terrestres, 15 Life on Land, Climate-change policy, 14 Life Below Water, 004, 14 Vida submarina, Sustainability, Animal Science and Zoology, Agronomy and Crop Science, Food Science
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).121 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
