TY - JOUR
T1 - Estimating migration patterns of fish from otolith chemical composition time series
AU - Albertsen, Christoffer Moesgaard
AU - Hüssy, Karin
AU - Serre, Simon Hansen
AU - Hemmer-Hansen, Jakob
AU - Thomsen, Tonny Bernt
N1 - Funding Information:
This study has been conducted using EU Copernicus Marine Service Information. The authors thank Benjamin Dominguez Heredia (Geological Survey of Denmark and Greenland) for assistance with measuring the accuracy and precision of measured internal standards and for preparing Supplementary Fig. S41 . Further, the authors thank the two anonymous reviewers for comments to improve the presentation of this manuscript.
Publisher Copyright:
© 2021 The Author(s)
PY - 2021/10
Y1 - 2021/10
N2 - 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.
AB - 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.
KW - Otolith
KW - Laser ablation ICP-MS
KW - Cod
KW - Fish
KW - migration
UR - http://www.scopus.com/inward/record.url?scp=85116931410&partnerID=8YFLogxK
U2 - 10.1139/cjfas-2020-0356
DO - 10.1139/cjfas-2020-0356
M3 - Article
AN - SCOPUS:85116931410
SN - 0706-652X
VL - 78
SP - 1512
EP - 1523
JO - Canadian Journal of Fisheries and Aquatic Sciences
JF - Canadian Journal of Fisheries and Aquatic Sciences
IS - 10
ER -
