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

Shephard, Samuel; Josset, Quentin; Davidson, Ian; Kennedy, Richard; Magnusson, Katarina; Gargan, Patrick; Walker, Alan; Poole, Russell

doi:10.1016/j.ecolind.2019.04.073

Cited by 13 publications

(13 citation statements)

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“…In this case, indicators may then take a "surveillance" role, providing complementary information (including warning signals) that informs science and management (Shephard et al 2015). Surveillance indicators provide a flexible tool for monitoring change in inland fisheries (Shephard et al 2019a). Interpretive surveillance plots track stocks in relation to broad expectations about state, e.g., that healthy stocks should have more large individuals.…”

Section: Empirical Indicatorsmentioning

confidence: 99%

“…Assessments using empirical indicators should be structured to integrate expert knowledge (Chrysafi et al 2017), perhaps harnessing "data-less" knowledge (Johannes 1998) to interpret indicator trends (Shephard et al 2019a(Shephard et al , 2019b. Accessible metrics should be close to raw data and have few assumptions (Van Zwieten et al 2011;Njaya 2018).…”

Section: Empirical Indicatorsmentioning

confidence: 99%

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From Amazon Catfish to Mekong Money Fish: Size‐based Assessment of Data‐Limited Commercial Inland Fisheries

et al. 2021

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Inland fisheries are often complex, spatially dispersed, and seasonal. A lack of monitoring can result in unreliable or incomplete catch data, suggesting a role for assessment methods based on population size structure. This paper evaluates and compares empirical size-based indicators and the length-based spawning potential ratio model as candidate tools for assessing data-limited commercial fisheries in inland systems. Case study applications are presented for a contrasting set of important fisheries in the Amazon Basin (Brazil, Bolivia, Colombia, and Peru), the Tonlé Sap River (Cambodia), Paraná River (Argentina), and Bayano Reservoir (Panama). These case studies were selected to explore the effects on assessment of factors including lack of life history information, spatial separation of life history stages, modality in population size structure of floodplain river fish, and fishing gear selectivity. An international workshop was organized to bring together experts from the study systems and elsewhere to discuss the results, and to highlight potential issues and caveats. It was concluded that length-based models may work well in cases where size-selective gears are used to target a few larger species with reliable life history parameter estimates. Empirical surveillance indicators are more flexible for integrating quantitative data with local expert knowledge in common data-poor situations. In general, size-based assessment can provide guidance for the sustainable management of target species in diverse inland fisheries.

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Section: Empirical Indicatorsmentioning

confidence: 99%

Section: Empirical Indicatorsmentioning

confidence: 99%

From Amazon Catfish to Mekong Money Fish: Size‐based Assessment of Data‐Limited Commercial Inland Fisheries

et al. 2021

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“…Atualmente, alguns autores têm discutido e testado alternativas para sanar essa lacuna de dados e permitir uma análise da dinâmica pesqueira e/ou populacional com dados limitados de pescarias (Doria et al, 2018;Philippsen et al, 2018;Sagarese et al, 2018;Shephard et al, 2018;Shephard et al, 2019). Carruthers et al, 2014 sugere que é possível derivar um índice de abundância ou uma estimativa de esgotamento pesqueiro de um número notavelmente pequeno de amostras, mesmo com séries temporais registradas em conjuntos de anos intercalados.…”

Section: Discussionunclassified

A dinâmica do desembarque pesqueiro pelos registros dos intermediários do Mercado Cai n’água em Porto Velho-RO

Sant’Anna

Rodrigues

Neves

et al. 2020

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“…In this case, indicators may then take a "surveillance" role, providing complementary information (including warning signals) that informs science and management (Shephard et al 2015 ). Surveillance indicators provide a fl exible tool for monitoring change in inland fi sheries (Shephard et al 2019a ). Interpretive surveillance plots track stocks in relation to broad expectations about state, e.g., that healthy stocks should have more large individuals.…”

Section: Empirical Indicatorsmentioning

confidence: 99%

Fisheries Volume 46 Number 4 April 2021

2021

Fisheries

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

Cited by 13 publications

References 74 publications

From Amazon Catfish to Mekong Money Fish: Size‐based Assessment of Data‐Limited Commercial Inland Fisheries

From Amazon Catfish to Mekong Money Fish: Size‐based Assessment of Data‐Limited Commercial Inland Fisheries

A dinâmica do desembarque pesqueiro pelos registros dos intermediários do Mercado Cai n’água em Porto Velho-RO

Fisheries Volume 46 Number 4 April 2021

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