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Marta Rufino
Feb 16, 2023, 6:19:44 AM2/16/23
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Buenos dias,
Solo un recordatorio que tenemos nuestra charla en un ratito.
Hasta ahora,
M.
11:30h PT, 12:30h CET,
Link do evento:
https://videoconf-colibri.zoom.us/j/91404148973?pwd=THBLL2xjeFlsRU5RSy9jdHY4UFljUT09
Meeting ID: 914 0414 8973
Password: 583275
Surplus Production Models: a practical review of recent approaches
M. COUSIDO-ROCHA, M. G. PENNINO, F. IZQUIERDO, A. PAZ, D. LOJO, A. TIFOURA, M.Y. ZANNI, S. CERVIÑO
Increasing the knowledge of approaches for estimating the status of data-limited stocks is of crucial importance since the vast majority of stocks are data limited, i.e., there is not enough data to conduct a fully integrated statistical catch at age or length assessment. Among the different datalimited methods, the surplus production models (SPMs) are usually considered the most complete data-limited assessment methods since they are the unique method that provides a full stock assessment. Due to the high interest on the application of SPMs for assessing data-limited stocks,our contribution focuses on providing a practical review of these models and their corresponding characteristics.After introducing the general SPM formulation, framework and features, the review focuses on the most relevant SPMs, based on their recent applications on well-known marine research organizations: ASPIC (A Surplus-Production Model Incorporating Covariates), SPiCT (Surplus Production model In Continuous Time) and JABBA (Just Another Bayesian Biomass Assessment).For each of them details of their formulation, main features, and quality and characteristics of the available software are provided. From such information, a comparative study is carried outhighlighting the advantages and disadvantages of each of the three SPMs.To conclude, recommendations for their use in the assessment of data-limited stocks are provided allowing to decide whether SPM can be an appropriate option for a specific stock assessment and advice, and then which of the addressed SPMs must be applied.
Marta Cousido-Rocha holds a degree in Mathematics and she completed a MSc in Statistics Techniques (both at University of Santiago de Compostela), and a PhD in Statistics (at University of Vigo). Currently, she is developing in the Spanish Institute of Oceanography,working on statistical modelling applied to fisheries science. Her interests range from assessment models for data-limited fisheries to integrated analysis models, and Management Strategy Evaluation procedures. Additionally, it has also been interested in advancing in the knowledge of the spatio-temporal distribution of the stocks, the improvement of the standardization of relative biomass indices or the analysis of the temporal evolution of the life traits of different species.
https://videoconf-colibri.zoom.us/j/91404148973?pwd=THBLL2xjeFlsRU5RSy9jdHY4UFljUT09
Meeting ID: 914 0414 8973
Password: 583275
Surplus Production Models: a practical review of recent approaches
M. COUSIDO-ROCHA, M. G. PENNINO, F. IZQUIERDO, A. PAZ, D. LOJO, A. TIFOURA, M.Y. ZANNI, S. CERVIÑO
Increasing the knowledge of approaches for estimating the status of data-limited stocks is of crucial importance since the vast majority of stocks are data limited, i.e., there is not enough data to conduct a fully integrated statistical catch at age or length assessment. Among the different datalimited methods, the surplus production models (SPMs) are usually considered the most complete data-limited assessment methods since they are the unique method that provides a full stock assessment. Due to the high interest on the application of SPMs for assessing data-limited stocks,our contribution focuses on providing a practical review of these models and their corresponding characteristics.After introducing the general SPM formulation, framework and features, the review focuses on the most relevant SPMs, based on their recent applications on well-known marine research organizations: ASPIC (A Surplus-Production Model Incorporating Covariates), SPiCT (Surplus Production model In Continuous Time) and JABBA (Just Another Bayesian Biomass Assessment).For each of them details of their formulation, main features, and quality and characteristics of the available software are provided. From such information, a comparative study is carried outhighlighting the advantages and disadvantages of each of the three SPMs.To conclude, recommendations for their use in the assessment of data-limited stocks are provided allowing to decide whether SPM can be an appropriate option for a specific stock assessment and advice, and then which of the addressed SPMs must be applied.
Marta Cousido-Rocha holds a degree in Mathematics and she completed a MSc in Statistics Techniques (both at University of Santiago de Compostela), and a PhD in Statistics (at University of Vigo). Currently, she is developing in the Spanish Institute of Oceanography,working on statistical modelling applied to fisheries science. Her interests range from assessment models for data-limited fisheries to integrated analysis models, and Management Strategy Evaluation procedures. Additionally, it has also been interested in advancing in the knowledge of the spatio-temporal distribution of the stocks, the improvement of the standardization of relative biomass indices or the analysis of the temporal evolution of the life traits of different species.
Marta M. Rufino (researcher)
_____________________________________
Portuguese Institute for the Sea and the Atmosphere (IPMA)
_____________________________________
Portuguese Institute for the Sea and the Atmosphere (IPMA)
Division of Modelling and Management of Fisheries Resources
Av. Dr. Alfredo Magalhães Ramalho, 6, 1495-165 Lisboa
Centre of Statistics and its Applications (CEAUL)
Faculty of Sciences, Univ. of Lisbon, Portugal
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