scholarly journals An updated life‐history scheme for marine fishes predicts recruitment variability and sensitivity to exploitation

2021 ◽  
Vol 30 (4) ◽  
pp. 870-882
Author(s):  
Colleen M. Petrik ◽  
Fernando González Taboada ◽  
Charles A. Stock ◽  
Jorge L. Sarmiento
Keyword(s):  
Life History ◽  
Marine Fishes ◽  
Recruitment Variability

Significance of Egg and Larval Size to Recruitment Variability of Temperate Marine Fish

1991 ◽  
Vol 48 (10) ◽  
pp. 1820-1828 ◽  
Author(s):  
Pierre Pepin ◽  
Ransom A. Myers
Keyword(s):  
Life History ◽  
Marine Fish ◽  
Early Life ◽  
Univariate Analysis ◽  
Early Life History ◽  
Fish Populations ◽  
Larval Size ◽  
Larval Phase ◽  
Life History Stages ◽  
Recruitment Variability

Recruitment variability is commonly associated with fluctuations in abundance of marine fish populations. Previous studies have focussed on stock-specific correlative or mechanistic models or on comparisons of recruitment variations of several stocks or species. The purpose of this study is to determine whether recruitment variability of commercial marine fish populations is associated with either size or the duration of early life history stages. The analysis was performed with data from 86 stocks representing 21 species of commercial marine fish. Univariate analysis shows that neither egg size nor the length at hatch is significantly correlated with recruitment variability. The change in length during the larval phase, which is representative of the duration of the stage, is significantly positively correlated with recruitment variability. Multivariate analysis shows that recruitment variability increases with increasing length at metamorphosis but that recruitment variability is poorly associated with length at hatch. The degree of serial correlation is related to the relative duration of egg and larval stages. The results clearly indicate that recruitment variability is linked to characteristics of early life history stages.

Effects of geography and life history traits on genetic differentiation in benthic marine fishes

Ecography ◽  
2011 ◽  
Vol 34 (4) ◽  
pp. 566-575 ◽  
Author(s):  
Cynthia Riginos ◽  
Kristin E. Douglas ◽  
Young Jin ◽  
Danielle F. Shanahan ◽  
Eric A. Treml
Keyword(s):  
Life History ◽  
Genetic Differentiation ◽  
Life History Traits ◽  
Marine Fishes

scholarly journals Empirical links between natural mortality and recovery in marine fishes

2017 ◽  
Vol 284 (1856) ◽  
pp. 20170693 ◽  
Author(s):  
Jeffrey A. Hutchings ◽  
Anna Kuparinen
Keyword(s):  
Life History ◽  
Life History Traits ◽  
Empirical Support ◽  
Marine Fishes ◽  
Natural Mortality ◽  
Local Adaptations ◽  
Data Intensive ◽  
Recovery Potential ◽  
Threat Mitigation ◽  
Medium Time

Probability of species recovery is thought to be correlated with specific aspects of organismal life history, such as age at maturity and longevity, and how these affect rates of natural mortality ( M ) and maximum per capita population growth ( r max ). Despite strong theoretical underpinnings, these correlates have been based on predicted rather than realized population trajectories following threat mitigation. Here, we examine the level of empirical support for postulated links between a suite of life-history traits (related to maturity, age, size and growth) and recovery in marine fishes. Following threat mitigation (medium time since cessation of overfishing = 20 years), 71% of 55 temperate populations had fully recovered, the remainder exhibiting, on average, negligible change (impaired recovery). Singly, life-history traits did not influence recovery status. In combination, however, those that jointly reflect length-based mortality at maturity, M α , revealed that recovered populations have higher M α , which we hypothesize to reflect local adaptations associated with greater r max . But, within populations, the smaller sizes at maturity generated by overfishing are predicted to increase M α , slowing recovery and increasing its uncertainty. We conclude that recovery potential is greater for populations adapted to high M but that temporal increases in M concomitant with smaller size at maturity will have the opposite effect. The recovery metric documented here ( M α ) has a sound theoretical basis, is significantly correlated with direct estimates of M that directly reflect r max , is not reliant on data-intensive time series, can be readily estimated, and offers an empirically defensible correlate of recovery, given its clear links to the positive and impaired responses to threat mitigation that have been observed in fish populations over the past three decades.

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