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| Elvarsson, B. P.; Taylor, L.; Trenkel, Verena; Kupca, V.; Stefansson, G.. |
| Statistical models of marine ecosystems use a variety of data sources to estimate parameters using composite or weighted likelihood functions with associated weighting issues and questions on how to obtain variance estimates. Regardless of the method used to obtain point estimates, a method is required for variance estimation. A bootstrap technique is introduced for the evaluation of uncertainty in such models, taking into account inherent spatial and temporal correlations in the datasets, which are commonly transferred as assumptions from a likelihood estimation procedure into Hessian-based variance estimation procedures. The technique is demonstrated on a real dataset and the effects of the number of bootstrap samples on estimation bias and variance... |
| Tipo: Text |
Palavras-chave: Bootstrapping; Correlated data; Fish population dynamics; Non-linear models. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00193/30459/29913.pdf |
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| Preuss, Bastien; Pelletier, Dominique; Wantiez, Laurent. |
| In the New Caledonian lagoon, fish populations live in a highly-fragmented habitat and seascape, and many are exploited by commercial, recreational and subsistence fishers. Although fishing has been increasing over decades, fisheries sustainability has not been assessed. We used the ISIS-Fish tool to build a spatially-explicit dynamic model for two major fish resources: spangled emperor and coral trout. The model was constructed and parameterized from many existing data habitat, fish populations, and fishing pressures. After calibration, it was used to simulate the outcomes of several management scenarios including MPA, size limitation, and increase in commercial fisher number. Results showed that depending on the species, an MPA could result in a... |
| Tipo: Text |
Palavras-chave: Fish population dynamics; Spatially-explicit model; Management scenario assessment; Spangled emperor; Coral trout; New Caledonian lagoon. |
| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00598/71022/69426.pdf |
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