2023
DOI: 10.1016/j.fishres.2023.106638
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Natural mortality: Theory, estimation and application in fishery stock assessment models

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Cited by 11 publications
(2 citation statements)
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“…The assumption of stationarity in survival, growth and fecundity limits our ability to assess the effects of ecosystem processes on population dynamics (Hamel et al, 2023;Lorenzen, 2016). When the assumption of stationary survival, growth and fecundity is violated, any variability will be misattributed to other population (e.g., fishing mortality) or observation processes (e.g., gear selectivity; Pope et al, 2021) that are estimated to vary over time.…”
Section: Introductionmentioning
confidence: 99%
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“…The assumption of stationarity in survival, growth and fecundity limits our ability to assess the effects of ecosystem processes on population dynamics (Hamel et al, 2023;Lorenzen, 2016). When the assumption of stationary survival, growth and fecundity is violated, any variability will be misattributed to other population (e.g., fishing mortality) or observation processes (e.g., gear selectivity; Pope et al, 2021) that are estimated to vary over time.…”
Section: Introductionmentioning
confidence: 99%
“…While typical stock assessment models include components of survival (e.g., natural mortality), growth (e.g., size‐at‐age) and fecundity (e.g., maturity‐at‐age), they are often treated as fixed inputs and assumed to be stationary in some cases. The assumption of stationarity in survival, growth and fecundity limits our ability to assess the effects of ecosystem processes on population dynamics (Hamel et al., 2023; Lorenzen, 2016). When the assumption of stationary survival, growth and fecundity is violated, any variability will be misattributed to other population (e.g., fishing mortality) or observation processes (e.g., gear selectivity; Pope et al., 2021) that are estimated to vary over time.…”
Section: Introductionmentioning
confidence: 99%