{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/evaluating-the-role-of-data-quality-when","title":"Evaluating the role of data quality when sharing information in hierarchical multi-stock assessment models, with an application to Dover Sole","arxiv_id":"1804.03353","date":"2018-10-20","proceeding":null,"authors":[],"abstract":"An emerging approach to data-limited fisheries stock assessment uses\nhierarchical multi-stock assessment models to group stocks together, sharing\ninformation from data-rich to data-poor stocks. In this paper, we simulate\ndata-rich and data-poor fishery and survey data scenarios for a complex of\ndover sole stocks. Simulated data for individual stocks were used to compare\nestimation performance for single-stock and hierarchical multi-stock versions\nof a Schaefer production model. The single-stock and best performing\nmulti-stock models were then used in stock assessments for the real dover sole\ndata. Multi-stock models often had lower estimation errors than single-stock\nmodels when assessment data had low statistical power. Relative errors for\nproductivity and relative biomass parameters were lower for multi-stock\nassessment model configurations. In addition, multi-stock models that estimated\nhierarchical priors for survey catchability performed the best under data-poor\nscenarios. We conclude that hierarchical multi-stock assessment models are\nuseful for data-limited stocks and could provide a more flexible alternative to\ndata-pooling and catch only methods; however, these models are subject to\nnon-linear side-effects of parameter shrinkage. Therefore, we recommend testing\nhierarchical multi-stock models in closed-loop simulations before application\nto real fishery management systems.","url_abs":"http://arxiv.org/abs/1804.03353v2","url_pdf":"http://arxiv.org/pdf/1804.03353v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"evaluating-the-role-of-data-quality-when","repo_url":"https://github.com/samueldnj/LHrD","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"management","task_name":"Management"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}