Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Chiba, Japan.
PLoS One. 2022 Aug 10;17(8):e0272850. doi: 10.1371/journal.pone.0272850. eCollection 2022.
Accurate understanding of changing population dynamics associated with climate change is critical for managing highly migratory fish species. However, long-term data on population dynamics and the resulting recruitment variability is still lacking for many species, making it difficult to predict and integrate the effects of ocean warming into management schemes. In this study, high-resolution stable oxygen isotope (δ18O) analysis was performed on the otoliths of adult Pacific bluefin tuna Thunnus orientalis using secondary ion mass spectrometry (SIMS) to determine the natal origin of an individual fish. The core δ18Ootolith corresponding to the larval stage greatly varied among the individuals, indicating that the larvae experienced a wide range of thermal environments. The non-hierarchical cluster analysis performed on the core δ18Ootolith grouped fish into those with higher δ18Ootolith (lower temperature) and those with lower δ18Ootolith (higher temperature), most likely representing relative temperature difference experienced between fish born in the Sea of Japan and in the Nansei Islands area. The Nansei Islands area cluster showed more variability in the early otolith growth indicating a longer spawning season, which is consistent with the observed longer spawning duration in this area. The absolute temperature estimates based on the SIMS-measured core δ18Ootolith were significantly higher than those expected from sea surface temperature data, suggesting the effects of matrix-related bias on the temperature offsets. The relative temperature difference, however, matched well with the known spawning temperature range of the two spawning grounds. The recruitment contribution from each spawning ground (all year-classes pooled, n = 51) was 45% in the Sea of Japan and 55% in the Nansei Islands area. Overall, this study demonstrated the effectiveness of SIMS δ18Ootolith analysis for investigating the natal origin of fish and its potential application in fish population dynamics studies.
准确理解与气候变化相关的不断变化的人口动态对于管理高度洄游鱼类至关重要。然而,对于许多物种来说,仍然缺乏有关种群动态的长期数据以及由此产生的可变性,这使得难以预测和整合海洋变暖对管理计划的影响。在这项研究中,使用二次离子质谱(SIMS)对成年太平洋蓝鳍金枪鱼 Thunnus orientalis 的耳石进行了高分辨率稳定氧同位素(δ18O)分析,以确定个体鱼的出生地。个体之间的核心耳石 δ18O 变化很大,表明幼虫经历了广泛的热环境。对核心耳石 δ18O 进行的非层次聚类分析将鱼类分为具有较高耳石 δ18O(较低温度)和较低耳石 δ18O(较高温度)的组,这很可能代表了在日本海和南海诸岛地区出生的鱼之间经历的相对温差。南海诸岛地区聚类在早期耳石生长中显示出更大的可变性,表明产卵季节更长,这与该地区观察到的较长产卵持续时间一致。基于 SIMS 测量的核心耳石 δ18O 的绝对温度估计值明显高于从海面温度数据预期的温度,这表明矩阵相关偏置对温度偏移的影响。然而,相对温差与两个产卵场已知的产卵温度范围非常吻合。来自每个产卵场的补充量(所有年龄组的总和,n = 51)在日本海为 45%,在南海诸岛地区为 55%。总体而言,这项研究表明 SIMS 耳石 δ18O 分析在调查鱼类出生地及其在鱼类种群动态研究中的潜在应用方面是有效的。