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| Mante, C; Durbec, Jp; Dauvin, Jc. |
| Statistical analysis of long-term changes in marine communities generally involves recourse to multivariate methods. Some of these, such as Correspondence Analysis (CA), are very sensitive to the presence of rare species in the data, whereas other methods, such as Principal Components analysis (PCA) or Multidimensional Scaling (MDS) are only sensitive to the dominant species. Thus, it is necessary to identify rare species. We used an original method of species determination, based on a multinomial scheme and permitting the generalization of the classical presence/absence coding from a probabilistic viewpoint. This selection method was applied to the identification of the different categories of species (rare, intermediate or dominant) that constitute the... |
| Tipo: Text |
Palavras-chave: Statistical analysis; Probability; Long-term changes; Macrobenthic community. |
| Ano: 1997 |
URL: http://archimer.ifremer.fr/doc/00093/20428/18095.pdf |
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| Gerino, M; Stora, G; Durbec, Jp. |
| An in situ experiment was conducted over a short period of time to quantify bioturbation with a pulse input of particulate and conservative tracers, the luminophores. Application of a biodiffusive and bioadvective model gives estimations of the mean biodiffusive mixing rate (D = 4.3 +/- 2.8 cm2.y(-1)) and the mean vertical transport rate (V = 27.5 +/- 15.1 cm.y(-1)). The heterogeneity of the results from every core is attributed to the different composition of the benthic community in each of them, and provides evidence of the horizontal variability of the bioturbation measurements on the same site. Only experiments of brief duration permit assessment of the bioadvective and non-local mixing events that superimpose biodiffusion effects in most of the... |
| Tipo: Text |
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| Ano: 1994 |
URL: http://archimer.ifremer.fr/doc/00099/21010/18636.pdf |
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