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Computational approaches improve evidence synthesis and inform broad fisheries trends

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Gretchen L. Stokes, Abigail J. Lynch, John V. Flores, Jesse P. Wong, Connor A. Morang, Chelsie Romulo, Simon Funge-Smith, John Valbo-Jørgensen, and Samuel J. Smidt, 2024-07-26, Computational approaches improve evidence synthesis and inform broad fisheries trends: Conservation Science and Practice, v. 6, no. 8.

Summary

Addressing ecological impacts with effective conservation actions requires information on the links between human pressures and localized responses. Understanding links is a priority for many conservation contexts, including the world's fresh waters, which face intensifying threats to disproportionately high species diversity, including more than half of the world's fish species. Literature synthesis can uncover links and highlight potential research gaps, yet can be very cumbersome and time consuming. Emerging tools like text mining can improve efficiency in extracting relevant information from vast scientific outputs. This study synthesizes evidence of direct anthropogenic threats to major inland fisheries and examines driver-impact-response [...]

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  • National CASC
  • National and Regional Climate Adaptation Science Centers

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citationTypeJournal Article
journalConservation Science and Practice
parts
typeDOI
valuehttps://doi.org/10.1111/csp2.13167
typeVolume
value6
typeNumber
value8
typeArticle
valuee13167

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