Substantial progress has been made in identifying large-scale climate effect on somatic growth through the use of ageing-based methods in aquatic environments, yet their annual/seasonal temporal resolution seems too coarse for such a fast process. Temporal resolution is a missing dimension in our understanding of climate effects on growth. Here, an alternative source of high temporal resolution growth increments embedded within a multidecadal traditional tag-recapture database was analysed to identify climate signals in the somatic growth of blue sharks Prionace glauca in the North Atlantic. Results indicate the growth response of P. glauca to the NAO occurred at a daily scale with a time-lag. Non-parametric modelling reveals an optimal response curve around the historical average of the NAO, and a significant negative response for large positive NAO anomalies. Growth predictions show that the last four decades are mostly associated with negative responses compared to the historical average. The temporal resolution of this study is unprecedented among current ageing-based studies with a comparable temporal coverage. Integrating high temporal resolution into long-term climate effect studies can open new avenues for research on identifying climate effect on growth and provide detailed clues to its mechanisms of action.

中文翻译：

---

几十年的每日分辨增长增量揭示了气候对北大西洋高度洄游鲨鱼生长的影响

通过在水生环境中使用基于老化的方法，在确定大规模气候对体细胞生长的影响方面取得了实质性进展，但它们的年度/季节时间分辨率对于如此快速的过程来说似乎过于粗糙。在我们理解气候对增长的影响时，时间分辨率是一个缺失的维度。在这里，分析了嵌入在多年代传统标签重新捕获数据库中的高时间分辨率生长增量的替代来源，以识别北大西洋蓝鲨 Prionace glauca 体细胞生长中的气候信号。结果表明 P. glauca 对 NAO 的生长反应以每日规模发生，具有时滞。非参数建模揭示了围绕 NAO 历史平均值的最佳响应曲线，以及对大的正 NAO 异常的显着负面响应。增长预测表明，与历史平均水平相比，过去 40 年主要与负面反应有关。这项研究的时间分辨率在当前具有可比时间覆盖的基于老化的研究中是前所未有的。将高时间分辨率整合到长期气候影响研究中，可以为研究确定气候对增长的影响开辟新途径，并为其作用机制提供详细线索。