2021
DOI: 10.1016/j.fishres.2020.105759
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Consequences of error in natural mortality and its estimation in stock assessment models

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Cited by 63 publications
(27 citation statements)
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“…Estimates resulting from stock assessments that do not consider possible changes in stock structure and life history, such as those observed in this study, can provide a false sense of accuracy as an essential source of uncertainty may be hidden (Kuparinen et al, 2012;Evans et al, 2013). In this context, model misspecifications can lead to several problems for stock assessment, and hence the provision of management advice (Punt et al, 2021). For example, misspecification of growth can overestimate the current biomass relative to the unfished biomass (stock depletion), but this bias may be mitigated or eliminated if the assessment model includes growth variation (Stawitz et al, 2019).…”
Section: Discussionmentioning
confidence: 89%
“…Estimates resulting from stock assessments that do not consider possible changes in stock structure and life history, such as those observed in this study, can provide a false sense of accuracy as an essential source of uncertainty may be hidden (Kuparinen et al, 2012;Evans et al, 2013). In this context, model misspecifications can lead to several problems for stock assessment, and hence the provision of management advice (Punt et al, 2021). For example, misspecification of growth can overestimate the current biomass relative to the unfished biomass (stock depletion), but this bias may be mitigated or eliminated if the assessment model includes growth variation (Stawitz et al, 2019).…”
Section: Discussionmentioning
confidence: 89%
“…Here, our experimental results showed that mortality increases in fish with low body condition, suggesting that adult natural mortality from starvation may occur in the wild mainly in winter of recent years (as the proportion of the natural population below critical body condition threshold is much higher in January/February and doubled in recent years). Such a result is also of interest for fisheries science, as misspecification of M in stock assessment models is known to lead to biased estimates of fisheries reference points (Gislason et al, 2010;Johnson et al, 2014;Punt et al 2021). A recent study on Atlantic cod Gadus morhua found, for instance, that using a variable body-condition dependent M instead of a constant one can result in drastic changes in stock diagnosis (up to 40% differences in spawning stock biomass (SSB), F and recruitment; (Casini et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Natural mortality (M) is often considered to be one of the most important parameters in a fish stock assessment, but it is also among the most difficult parameters to estimate using commonly available data (Punt et al 2021). This is the case for redfish.…”
Section: Natural Mortality Mmentioning
confidence: 99%
“…Kenchington (2014) recommended using a measured M for a stock if one is available and refers to these literature methods as applicable mostly in "information-limited" situations. However, it is difficult to experimentally measure M using data typically available and best practice (i.e., Punt et al 2021) is to estimate M within an assessment model, ideally with a prior for M for the specific stock. However, M can easily be confounded with other assessment model misspecifications and a thorough analysis of the assessment M information should be conducted (e.g., Perreault and Cadigan 2021).…”
Section: Natural Mortality Mmentioning
confidence: 99%