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| Frelat, Romain; Orio, Alessandro; Casini, Michele; Lehmann, Andreas; Merigot, Bastien; Otto, Saskia A.; Sguotti, Camilla; Moellmann, Christian. |
| Fisheries and marine ecosystem-based management requires a holistic understanding of the dynamics of fish communities and their responses to changes in environmental conditions. Environmental conditions can simultaneously shape the spatial distribution and the temporal dynamics of a population, which together can trigger changes in the functional structure of communities. Here, we developed a comprehensive framework based on complementary multivariate statistical methodologies to simultaneously investigate the effects of environmental conditions on the spatial, temporal and functional dynamics of species assemblages. The framework is tested using survey data collected during more than 4000 fisheries hauls over the Baltic Sea between 2001 and 2016. The... |
| Tipo: Text |
Palavras-chave: Baltic Sea; Demersal fish community; Functional traits; Multivariate analysis; Spatio-temporal dynamics; Species distribution. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00475/58659/62410.pdf |
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| Bitetto, Isabella; Romagnoni, Giovanni; Adamidou, Angeliki; Certain, Gregoire; Di Lorenzo, Manfredi; Donnaloia, Marilena; Lembo, Giuseppe; Maiorano, Porzia; Milisenda, Giacomo; Musumeci, Claudia; Ordines, Francesc; Pesci, Paola; Peristeraki, Panagiota; Pesic, Ana; Sartor, Paolo; Spedicato, Maria Teresa. |
| The state of marine systems subject to natural or anthropogenic impacts can be generally summarized by suites of ecological indicators carefully selected to avoid redundancy. Length-based indicators capture the status of fish community structure, fulfilling the Marine Strategy Framework Directive (MSFD) requirement for Descriptor 3 (status of commercial fish species). Although the MSFD recommends the development of regional indicators, a comparison among alternative length-based indicators is so far missing for the Mediterranean Sea. Using principal component analysis and dynamic factor analysis, we identified the most effective subset of length-based indicators, whether or not based on maximum length. Indicator trends and time series of fishing effort and... |
| Tipo: Text |
Palavras-chave: Demersal fish community; Size structure indicators; Geographical sub-area; Marine Strategy Framework Directive; Dynamic factor analysis; Redundancy analysis. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00599/71148/69466.pdf |
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