Data_Sheet_1_Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine.docx

• Main Authors: Ning Chen, Ming Sun, Chongliang Zhang, Yiping Ren, Yong Chen
• Format: Dataset
• Language: unknown
• Published: 2022
• Subjects: Oceanography; Marine Biology; Marine Geoscience; Biological Oceanography; Chemical Oceanography; Physical Oceanography; Marine Engineering; non-stationary dynamics; climate change; natural mortality; Gulf of Maine; Gadus morhua; atlantic cod
• Online Access: https://doi.org/10.3389/fmars.2022.845787.s001; https://figshare.com/articles/dataset/Data_Sheet_1_Non-stationary_Natural_Mortality_Influencing_the_Stock_Assessment_of_Atlantic_Cod_Gadus_morhua_in_a_Changing_Gulf_of_Maine_docx/19429760

Climate changes have increasingly driven diverse biological processes of fish and lead to non-stationary dynamics of populations. The Gulf of Maine (GOM) is vulnerable to climate change, which should be considered in fishery stock assessment and management. This study focuses on the effects of possible non-stationary natural mortality (M) on the stock assessment of Atlantic cod (Gadus morhua) in GOM. We evaluated different assumptions about stationary and non-stationary M driven by sea surface temperature (SST) using a simulation approach. We found that adopting non-stationary M could effectively improve the quality of stock assessment compared to the commonly used stationary assumption for the GOM cod. Non-stationary scenario assuming a non-linear relationship between SST and M had the lowest estimation errors of spawning stock biomass (SSB) and fishing mortality, and the younger and the older age groups tended to be less accurately estimated. Different assumptions in M led to diverged estimates of biological reference points and yielded large differences in the determination of stock status and development of management advices. This study highlights the importance of including non-stationary vital rates in fisheries assessment and management in response to changing ecosystems.