ArticleNature communications2025
Maintaining ecological stability for sustainable economic yields of multispecies fisheries in complex food webs.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
9 authors.
Funding
Abstract
Fish stocks are increasingly overexploited due to the growing global demand for seafood. As these species are embedded in complex food webs, traditional single-species management plans should be replaced by models that integrate multi-species fisheries with economic market feedbacks into complex food webs to promote sustainable resource use. Here, we develop such a dynamic model involving three open-access fisheries in a complex food web. Systematically comparing six fishing scenarios, we find that targeting low or high trophic levels risks reducing basal biomass or triggering trophic cascades that undermine first ecological stability (food web biomass and persistence) and then sustainability of economic returns (total sustainable catch and revenue). High sustainable economic returns combined with low negative ecological impacts occur when similar mid-trophic level species are caught in multispecies fisheries. We conclude that complex systems analysis can help design ecosystem-based management strategies to achieve a sustainable food supply for the world.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.