Influence of Growth and Recruitment Parameters in the Assessment and Management Variables of the Yellow Squat Lobster (Cervimunida johni)
| Autor: | Dante Queirolo, T. Mariella Canales, Juan-Carlos Quiroz, Doris Bucarey, Rodrigo Wiff |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Stock assessment Coefficient of variation growth assessment Fishing Ocean Engineering Common method 01 natural sciences lcsh:Oceanography lcsh:VM1-989 Statistics lcsh:GC1-1581 Sensitivity analyses Stock (geology) Water Science and Technology Civil and Structural Engineering Mathematics Squat lobster reliability biology 010604 marine biology & hydrobiology lcsh:Naval architecture. Shipbuilding. Marine engineering 04 agricultural and veterinary sciences biology.organism_classification sensitivity TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES recruitment 040102 fisheries 0401 agriculture forestry and fisheries Cervimunida johni crustacean management |
| Zdroj: | Journal of Marine Science and Engineering Volume 8 Issue 6 Journal of Marine Science and Engineering, Vol 8, Iss 423, p 423 (2020) |
| ISSN: | 2077-1312 |
| DOI: | 10.3390/jmse8060423 |
| Popis: | Fitting length data in age-structured stock assessment is a common method for evaluating hard-to-age animals, such as crustaceans. Growth specification and the uncertainty in the stock recruitment relationship are key issues in length-based assessment models. We conducted sensitivity analyses to evaluate the impact of growth and recruitment parameters on the stock assessment and management variables of the yellow squat lobster (Cervimunida johni) caught off the Chilean coast. Nine different scenarios of the length at first capture ( L a = 1 ) and the coefficient of variation at age ( c v a ) were tested for six combinations of values for the steepness parameter (h) and the recruitment variance ( &sigma R 2 ). We also investigated the reliability of these estimates using an operating model. Our findings indicate that the parameter related to growth, L a = 1 , has the greatest impact on the assessment and management variables of this fishery resource, with c v a having a lesser effect. Recruitment and fishing mortality estimates were the main variables affected. Parameters h and &sigma R 2 did not profoundly impact the variables assessed. In addition, L a = 1 was the most biased estimated parameter. We discuss that the high influence of growth parameters is related to model structure, and thus implications for determination of the status of yellow squat lobster should be addressed in the future. We recommended developing simulation protocols for the selection of growth parameters when using an age-structured model with length observations, and we believe that our findings are relevant for all Chilean fisheries with a similar stock assessment framework. |
| Databáze: | OpenAIRE |
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