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Combining empirical indicators and expert knowledge for surveillance of data-limited sea trout stocks.

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Title: Combining empirical indicators and expert knowledge for surveillance of data-limited sea trout stocks.
Authors: Shephard, Samuel1 (AUTHOR) sam.shephard@fisheriesireland.ie, Josset, Quentin1 (AUTHOR), Davidson, Ian1 (AUTHOR), Kennedy, Richard1 (AUTHOR), Magnusson, Katarina1 (AUTHOR), Gargan, Patrick G.1 (AUTHOR), Walker, Alan M.1 (AUTHOR), Poole, Russell1 (AUTHOR)
Source: Ecological Indicators. Sep2019, Vol. 104, p96-106. 11p.
Subjects: Sea trout, Elicitation technique, Freshwater fishes, Fish populations, Time series analysis
Geographic Terms: Sweden, Ireland, Northern Ireland
Abstract: • Data-limited inland fish stocks can support important ecological, social and cultural functions. • Empirical surveillance indicators provide a first-step to monitoring such stocks. • These indicators could be selected, informed and interpreted via expert knowledge. • Surveillance metrics for sea trout from European rivers were presented on a visual indicator plot. • Expert knowledge was elicited to interpret the plots in light of historical pressure-state events. Inland and diadromous fish stocks can support important ecological, social and cultural functions. However, many of these stocks are data-limited and do not have formal state assessments or management reference points. Empirical surveillance indicators of relative abundance and population size-structure may provide an accessible first-step for monitoring such stocks. These indicators could be informed and interpreted via expert knowledge of specific systems and stock histories. The current study focused on an international scientific working group that met in 2017–2019. The group collated long-term monitoring data for sea trout Salmo trutta from six salmonid 'index rivers' in France, Ireland, Wales, Northern Ireland and Sweden. Indicators were selected, and time series of abundance- and length-based metrics for each river were presented on a new visual indicator plot. Expert knowledge from each system was elicited through one-to-one interviews to provide a corresponding stock narrative, in which indicator trends reflected known historical pressure-state events. The accessible presentation of simple empirical indicators supports elicitation of local expert knowledge, and provides an accessible framework for surveillance and reference-direction assessment of data-limited sea trout stocks. This approach could be applied to inland or diadromous stocks where available data are restricted to estimates of relative abundance and size-structure. [ABSTRACT FROM AUTHOR]
Copyright of Ecological Indicators is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 136803391
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Combining empirical indicators and expert knowledge for surveillance of data-limited sea trout stocks.
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  Data: <searchLink fieldCode="AR" term="%22Shephard%2C+Samuel%22">Shephard, Samuel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sam.shephard@fisheriesireland.ie</i><br /><searchLink fieldCode="AR" term="%22Josset%2C+Quentin%22">Josset, Quentin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Davidson%2C+Ian%22">Davidson, Ian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kennedy%2C+Richard%22">Kennedy, Richard</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Magnusson%2C+Katarina%22">Magnusson, Katarina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gargan%2C+Patrick+G%2E%22">Gargan, Patrick G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Walker%2C+Alan+M%2E%22">Walker, Alan M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Poole%2C+Russell%22">Poole, Russell</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Ecological+Indicators%22">Ecological Indicators</searchLink>. Sep2019, Vol. 104, p96-106. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Sea+trout%22">Sea trout</searchLink><br /><searchLink fieldCode="DE" term="%22Elicitation+technique%22">Elicitation technique</searchLink><br /><searchLink fieldCode="DE" term="%22Freshwater+fishes%22">Freshwater fishes</searchLink><br /><searchLink fieldCode="DE" term="%22Fish+populations%22">Fish populations</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Sweden%22">Sweden</searchLink><br /><searchLink fieldCode="DE" term="%22Ireland%22">Ireland</searchLink><br /><searchLink fieldCode="DE" term="%22Northern+Ireland%22">Northern Ireland</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Data-limited inland fish stocks can support important ecological, social and cultural functions. • Empirical surveillance indicators provide a first-step to monitoring such stocks. • These indicators could be selected, informed and interpreted via expert knowledge. • Surveillance metrics for sea trout from European rivers were presented on a visual indicator plot. • Expert knowledge was elicited to interpret the plots in light of historical pressure-state events. Inland and diadromous fish stocks can support important ecological, social and cultural functions. However, many of these stocks are data-limited and do not have formal state assessments or management reference points. Empirical surveillance indicators of relative abundance and population size-structure may provide an accessible first-step for monitoring such stocks. These indicators could be informed and interpreted via expert knowledge of specific systems and stock histories. The current study focused on an international scientific working group that met in 2017–2019. The group collated long-term monitoring data for sea trout Salmo trutta from six salmonid 'index rivers' in France, Ireland, Wales, Northern Ireland and Sweden. Indicators were selected, and time series of abundance- and length-based metrics for each river were presented on a new visual indicator plot. Expert knowledge from each system was elicited through one-to-one interviews to provide a corresponding stock narrative, in which indicator trends reflected known historical pressure-state events. The accessible presentation of simple empirical indicators supports elicitation of local expert knowledge, and provides an accessible framework for surveillance and reference-direction assessment of data-limited sea trout stocks. This approach could be applied to inland or diadromous stocks where available data are restricted to estimates of relative abundance and size-structure. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Ecological Indicators is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.ecolind.2019.04.073
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 96
    Subjects:
      – SubjectFull: Sea trout
        Type: general
      – SubjectFull: Elicitation technique
        Type: general
      – SubjectFull: Freshwater fishes
        Type: general
      – SubjectFull: Fish populations
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Sweden
        Type: general
      – SubjectFull: Ireland
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      – SubjectFull: Northern Ireland
        Type: general
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      – TitleFull: Combining empirical indicators and expert knowledge for surveillance of data-limited sea trout stocks.
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            – D: 01
              M: 09
              Text: Sep2019
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              Y: 2019
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