Canadian Journal of Fisheries and Aquatic Sciences, Ahead of Print.
Understanding migration patterns and habitat use is of great importance for management and conservation of marine living resources. The chemical composition of otoliths is influenced by the surrounding environment; therefore, they are indispensable data archives. To extract migration patterns and historical habitat use of individual fish, we analyse otolith chemical compositions obtained by laser ablation inductively coupled plasma mass spectrometry by a regime-switching state-space model. The state-space model filters the measurement noise from the environmental signal. In turn, the filtered signal is converted to geographical positions through a calibration of strontium to salinity. The method is validated by a simulation study and applied to 404 Atlantic cod (Gadus morhua) otoliths.

中文翻译：

---

从耳石化学成分时间序列估计鱼类的迁移模式

加拿大渔业和水产科学杂志，提前印刷。
了解迁徙模式和栖息地利用对于海洋生物资源的管理和保护非常重要。耳石的化学成分受周围环境的影响；因此，它们是必不可少的数据档案。为了提取个体鱼类的迁徙模式和历史栖息地使用情况，我们通过状态转换状态空间模型分析了通过激光烧蚀电感耦合等离子体质谱法获得的耳石化学成分。状态空间模型从环境信号中过滤测量噪声。反过来，过滤后的信号通过锶与盐度的校准转换为地理位置。该方法通过模拟研究验证并应用于 404 大西洋鳕鱼 (Gadus morhua) 耳石。