Early life survival is critical to successful replenishment of fish populations, and hypotheses developed under the Growth-Survival Paradigm (GSP) have guided investigations of controlling processes. The GSP postulates that recruitment depends on growth and mortality rates during early life stages, as well as their duration, after which the mortality declines substantially. The GSP predicts a shift in the frequency distribution of growth histories with age towards faster growth rates relative to the initial population because slow-growing individuals are subject to high mortality (via starvation and predation). However, mortality data compiled from 387 cases published in 153 studies (1971–2022) showed that the GSP was only supported in 56% of cases. Selection against slow growth occurred in two-thirds of field studies, leaving a non-negligible fraction of cases showing either an absence of or inverse growth-selective survival, suggesting the growth-survival relationship is more complex than currently considered within the GSP framework. Stochastic simulations allowed us to assess the influence of key intrinsic and extrinsic factors on the characteristics of surviving larvae and identify knowledge gaps on the drivers of variability in growth-selective survival. We suggest caution when interpreting patterns of growth selection because changes in variance and autocorrelation of individual growth rates among cohorts can invalidate fundamental GSP assumptions. We argue that breakthroughs in recruitment research require a comprehensive, population-specific characterization of the role of predation and intrinsic factors in driving variability in the distribution and autocorrelation of larval growth rates, and of the life stage corresponding to the endpoint of pre-recruited life.

中文翻译：

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快车道上的生命：重温鱼类生命早期阶段的快速生长-高存活范式

生命早期的生存对于鱼类种群的成功补充至关重要，根据生长-生存范式（GSP）提出的假设指导了控制过程的研究。GSP 假设，招募取决于生命早期阶段的生长率和死亡率及其持续时间，此后死亡率大幅下降。GSP 预测，随着年龄的增长，生长历史的频率分布将朝着相对于初始种群更快的生长速率转变，因为生长缓慢的个体会遭受高死亡率（通过饥饿和捕食）。然而，根据 153 项研究（1971-2022）中发表的 387 例病例编制的死亡率数据显示，普惠制仅在 56% 的病例中得到支持。三分之二的实地研究中发生了针对缓慢生长的选择，留下不可忽略的一小部分病例显示缺乏生长选择性生存或逆生长选择性生存，这表明生长-生存关系比目前在普惠制框架内考虑的更为复杂。随机模拟使我们能够评估关键的内在和外在因素对存活幼虫特征的影响，并确定生长选择性生存变异驱动因素的知识差距。我们建议在解释增长选择模式时要谨慎，因为群体中个体增长率的方差和自相关的变化可能会使基本的普惠制假设失效。我们认为，招聘研究的突破需要全面的、