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Mérigot, Bastien; Gaertner, Jean-claude; Brind’amour, Anik; Carbonara, Pierluigi; Esteban, Antonio; Garcia-ruiz, Cristina; Gristina, Michele; Imzilen, Taha; Jadaud, Angelique; Joksimovic, Aleksandar; Kavadas, Stefanos; Kolitari, Jerina; Maina, Irida; Maiorano, Porzia; Manfredi, Chiara; Micallef, Reno; Peristeraki, Panagiota; Relini, Giulio; Sbrana, Mario; Spedicato, Maria Teresa; Thasitis, Ioannis; Vittori, Stefania; Vrgoc, Nedo. |
Trawling pressure and environmental changes may affect the composition of fish assemblages. Our knowledge on large spatio-temporal patterns of demersal fish composition remains incomplete for the Mediterranean Sea. We investigated (1) the spatio-temporal stability of demersal assemblages, (2) the relationships between these assemblages and potential structuring factors (trawling pressure and environmental conditions) in order to assess the dynamic of the assemblage structure at the scale of the northern Mediterranean Sea. We analysed a dataset of 18062 hauls from 10 to 800 m depth performed annually during the last two decades across 17 Geographical Sub-Areas (GSAs) (MEDITS program). A multi-table analysis (STATICO-CoA) evidenced a strong inter-GSAs... |
Tipo: Text |
Palavras-chave: Species composition; Stability; Demersal assemblages; Environment; Fishing pressure; Large scale; Co-inertia analysis; STATICO-CoA. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00584/69629/67485.pdf |
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Imzilen, Taha; Bonhommeau, Sylvain; Rouyer, Tristan; Kell, Laurence T; Chassot, Emmanuel; Barde, Julien. |
In this note, we present an approach which has been recently used to execute online the set of codes used for eastern blue_n tuna (BFT-E) stock assessment at ICCAT. We aim at discussing the possible interest of the approach to the IOTC Community for focusing on Indian ocean tuna and tuna-like stocks and running other assesment models such as Stock Synthesis 3 (SS3). In 2014, ICCAT BFT-E working group has been able to execute thousands of model runs by using parallelization of R and Fortran codes on a supercomputer. This approach has a lot of scienti_c bene_ts, in particular for better including the multiple sources of uncertainty in assessment results and associated scienti_c advice. However, very few participants would be able to reproduce it without... |
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Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00360/47135/47084.pdf |
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