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| Jamnia, Abdul Rashid; Keikha, Ahmad Ali; Ahmadpour, Mahmoud; Cisse, Abdoul; Rokouei, Mohammad. |
| Small-scale fisheries substantially contribute to the reduction of poverty, local economies and food safety in many countries. However, limited and low-quality catches and effort data for small-scale fisheries complicate the stock assessment and management. Bayesian modelling has been advocated when assessing fisheries with limited data. Specifically, Bayesian models can incorporate information of the multiple sources, improve precision in the stock assessments and provide specific levels of uncertainty for estimating the relevant parameters. In this study, therefore, the state-space Bayesian generalised surplus production models will be used in order to estimate the stock status of fourteen Demersal fish species targeted by small-scale fisheries in Sistan... |
| Tipo: Text |
Palavras-chave: Small-scale Demersal fisheries; Bayesian modelling; Generalised surplus production. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00454/56570/79995.pdf |
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