Prediction of square mesh panel and codend size selectivity of blue whiting based on fish morphology
File(s) with restricted access are under embargo until 2021-09-24
Square mesh panels (SMPs) are selective devices used extensively to supplement codend size selectivity in trawl fisheries. Therefore, predictions of the effect of mesh size in both SMPs and codends on size selectivity are valuable. Here, we established a framework to predict the size selection of blue whiting through different SMPs and diamond mesh codends based on the morphological characteristics of this species. We hypothesized that size selection for an SMP is determined by different fish contact angles, whereas different mesh opening angles determine size selection for the codend. Based on these hypotheses, we first developed a model that enabled us to predict which sizes of blue whiting are able to pass through meshes of different sizes and shapes. We then tested whether the selectivity for blue whiting of the SMP, the codend, and the combination of both could be explained by the models. Finally, we predicted the size selectivity of multiple combinations of SMPs and diamond mesh codends. The method presented here can potentially be applied to make predictions for species other than blue whiting.
This is a pre-copyedited, author-produced version of an article accepted for publication in ICES Journal of Marine Science following peer review. The version of record Cuende, E., Arregi, L., Herrmann, B., Sistiaga, M. & Aboitiz, X. (2020). Prediction of square mesh panel and codend size selectivity of blue whiting based on fish morphology. ICES Journal of Marine Science is available online at: https://doi.org/10.1093/icesjms/fsaa156
PublisherOxford University Press (OUP)
CitationCuende E, Arregi L, Herrmann B, Sistiaga MB, Aboitiz. Prediction of square mesh panel and codend size selectivity of blue whiting based on fish morphology. ICES Journal of Marine Science. 2020
MetadataShow full item record
© International Council for the Exploration of the Sea 2020. All rights reserved