NDLI: Understanding and managing fish populations: keeping the toolbox fit for purpose.

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Understanding and managing fish populations: keeping the toolbox fit for purpose.

Content Provider	Semantic Scholar
Author	Sherman, Krista D. Bell, Ewen Boulenger, Clarisse Delord, Chrystelle El-Mahdi, Magda M. Fairfield, Eleanor A. Griffiths, Andrew M. Roberts, Catherine Gutmann Hedger, Richard D. Holman, Logan Hooper, Laura Humphries, Nicolas E. Katsiadaki, Ioanna King, Rebecca A. Lemopoulos, Alexandre Payne, Catherine J. Peirson, Graeme Richter, Kristin Taylor, Martin I. Trueman, Clive N. Hayden, Brian Stevens, Jamie R.
Copyright Year	2018
Abstract	Wild fish populations are currently experiencing unprecedented pressures, which are projected to intensify in the coming decades. Developing a thorough understanding of the influences of both biotic and abiotic factors on fish populations is a salient issue in contemporary fish conservation and management. During the 50th Anniversary Symposium of The Fisheries Society of the British Isles at the University of Exeter, UK, in July 2017, scientists from diverse research backgrounds gathered to discuss key topics under the broad umbrella of 'Understanding Fish Populations'. Below, the output of one such discussion group is detailed, focusing on tools used to investigate natural fish populations. Five main groups of approaches were identified: tagging and telemetry; molecular tools; survey tools; statistical and modelling tools; tissue analyses. The appraisal covered current challenges and potential solutions for each of these topics. In addition, three key themes were identified as applicable across all tool-based applications. These included data management, public engagement, and fisheries policy and governance. The continued innovation of tools and capacity to integrate interdisciplinary approaches into the future assessment and management of fish populations is highlighted as an important focus for the next 50 years of fisheries research.
Starting Page	727
Ending Page	751
Page Count	25
File Format	PDF HTM / HTML
DOI	10.1111/jfb.13549
PubMed reference number	29537089
Journal	Medline
Volume Number	92
Issue Number	3
Alternate Webpage(s)	https://ueaeprints.uea.ac.uk/66617/1/Accepted_manuscript.pdf
Alternate Webpage(s)	https://ore.exeter.ac.uk/repository/bitstream/handle/10871/33364/SP%2017-012_R2%20FINAL.pdf?isAllowed=y&sequence=3
Alternate Webpage(s)	https://doi.org/10.1111/jfb.13549
Journal	Journal of fish biology
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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