Equilibrium reference point calculations for the next generation of spatial assessments

Kapur, Maia; Siple, Margaret C.; Olmos, Maxime; Privitera-Johnson, Kristin; Adams, Grant; Best, John; Castillo-Jordán, Claudio; Cronin-Fine, Lee; Havron, A.M.; Lee, Q.; Methot, Richard D.; Punt, André E.

doi:10.1016/j.fishres.2021.106132

Cited by 14 publications

(13 citation statements)

References 35 publications

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“…In their basic form, analytic stock assessments assume a well‐mixed pool of animals without spatial heterogeneity (Kapur et al, 2021). In contrast, Vélez‐Espino and Koops (2010) proposed that spatial variability in American eels could be modelled by creating regional sub‐pools, with demographic traits estimated from temperature and latitudinal clines.…”

Section: Discussionmentioning

confidence: 99%

“…An additional complexity for the American eel is that density‐dependent effects are likely to vary with local conditions, whilst also influenced by overall recruitment, which is a stock‐wide phenomenon (Bevacqua et al, 2019; Righton et al, 2021). The balance of local and stock‐wide effects, in turn, influences equilibrium reference points and stock status (Kapur et al, 2021), but this balance is unknown for American eels.…”

Section: Obstacles To a Range‐wide American Eel Assessmentmentioning

confidence: 99%

“…Given these complexities, SPR model outcomes are perhaps best seen as a first approximation of eel conservation needs for individual watercourses. A broader contribution of SPR to stock‐wide status understanding requires consideration of spawner output from unexploited watercourses (Hoyle & Jellyman, 2002) and local and stock‐wide density dependencies in the stock‐recruitment relationship (Kapur et al, 2021).…”

Section: Novel Ideas and Underutilised Resourcesmentioning

confidence: 99%

“…In their basic form, analytic stock assessments assume a well-mixed pool of animals without spatial heterogeneity (Kapur et al, 2021).…”

Section: Towards a Range-wide Stock Assessmentmentioning

confidence: 99%

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Thirteen novel ideas and underutilised resources to support progress towards a range‐wide American eel stock assessment

Cairns

Benchetrit

Bernatchez

et al. 2022

Fisheries Management Eco

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A robust assessment of the American eel (Anguilla rostrata) stock, required to guide conservation efforts, is challenged by the species’ vast range, high variability in demographic parameters and data inadequacies. Novel ideas and underutilised resources that may assist both analytic assessments and spatially oriented modelling include (1) species and environmental databases; (2) mining of data from scattered sources; (3) infilling of data gaps by spatial analysis; (4) age estimation from measurements of DNA methylation; evaluation of eel abundance by (5) larval, (6) glass‐bottom boat, (7) net enclosure and (8) eDNA surveys; (9) accounting for dam‐induced habitat increases in eel watercourse modelling; (10) spatially oriented modelling with and without temporal components; (11) geographically nested modelling of glass eel recruitment; (12) spawner per recruit modelling and (13) life cycle modelling to examine larval allocation effects. Eel biologists are too few to gather the required assessment data across all of the species’ range. Public posting of electrofishing and eDNA metabarcoding data sets and the use of machine learning techniques to comprehensively inventory small dams will help meet some data needs. These approaches address only a small proportion of the assessment challenges that face American eels. Worldwide collaboration amongst Anguilla scientists is a key enabler of progress towards stock assessment goals.

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Section: Discussionmentioning

confidence: 99%

Section: Obstacles To a Range‐wide American Eel Assessmentmentioning

confidence: 99%

Section: Novel Ideas and Underutilised Resourcesmentioning

confidence: 99%

“…In their basic form, analytic stock assessments assume a well-mixed pool of animals without spatial heterogeneity (Kapur et al, 2021).…”

Section: Towards a Range-wide Stock Assessmentmentioning

confidence: 99%

See 2 more Smart Citations

Thirteen novel ideas and underutilised resources to support progress towards a range‐wide American eel stock assessment

Cairns

Benchetrit

Bernatchez

et al. 2022

Fisheries Management Eco

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“…Increased application of spatially explicit MSE (e.g., Carruthers et al 2016b ; Punt et al 2017 ; Jacobson et al 2022 ) is necessary to identify the types of spatial processes (e.g., movement, population structure, and/or demographic variation) that need to be explicitly modeled to develop robust management strategies, while highlighting tradeoffs between model resolution and data requirements. Additionally, best practices for calculating spatially explicit biological reference points remains an open-ended research question (Bosley et al 2019 ; Kapur et al 2021 ).…”

Section: Current Challenges and Emerging Solutions For Provision Of E...mentioning

confidence: 99%

Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

Goethel

Omori

Punt

et al. 2022

Rev Fish Biol Fisheries

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Marine population modeling, which underpins the scientific advice to support fisheries interventions, is an active research field with recent advancements to address modern challenges (e.g., climate change) and enduring issues (e.g., data limitations). Based on discussions during the ‘Land of Plenty’ session at the 2021 World Fisheries Congress, we synthesize current challenges, recent advances, and interdisciplinary developments in biological fisheries models (i.e., data-limited, stock assessment, spatial, ecosystem, and climate), management strategy evaluation, and the scientific advice that bridges the science-policy interface. Our review demonstrates that proliferation of interdisciplinary research teams and enhanced data collection protocols have enabled increased integration of spatiotemporal, ecosystem, and socioeconomic dimensions in many fisheries models. However, not all management systems have the resources to implement model-based advice, while protocols for sharing confidential data are lacking and impeding research advances. We recommend that management and modeling frameworks continue to adopt participatory co-management approaches that emphasize wider inclusion of local knowledge and stakeholder input to fill knowledge gaps and promote information sharing. Moreover, fisheries management, by which we mean the end-to-end process of data collection, scientific analysis, and implementation of evidence-informed management actions, must integrate improved communication, engagement, and capacity building, while incorporating feedback loops at each stage. Increasing application of management strategy evaluation is viewed as a critical unifying component, which will bridge fisheries modeling disciplines, aid management decision-making, and better incorporate the array of stakeholders, thereby leading to a more proactive, pragmatic, transparent, and inclusive management framework–ensuring better informed decisions in an uncertain world. Supplementary Information The online version contains supplementary material available at 10.1007/s11160-022-09726-7.

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From spawner habitat selection to stock‐recruitment: Implications for assessment

Skoglund

Whitlock

Petersson

et al. 2022

Ecology and Evolution

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Equilibrium reference point calculations for the next generation of spatial assessments

Cited by 14 publications

References 35 publications

Thirteen novel ideas and underutilised resources to support progress towards a range‐wide American eel stock assessment

Thirteen novel ideas and underutilised resources to support progress towards a range‐wide American eel stock assessment

Oceans of plenty? Challenges, advancements, and future directions for the provision of evidence-based fisheries management advice

From spawner habitat selection to stock‐recruitment: Implications for assessment

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