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Dynamique successionnelle des peuplements de fonds meubles au large de la Bretagne = The dynamics of community succession in subtidal soft bottoms off Brittany
Hily, C.; Glémarec, M. (1990). Dynamique successionnelle des peuplements de fonds meubles au large de la Bretagne = The dynamics of community succession in subtidal soft bottoms off Brittany. Oceanol. Acta 13(1): 107-115
In: Oceanologica Acta. Elsevier/Gauthier-Villars: Montreuil. ISSN 0399-1784; e-ISSN 1878-4143
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| Trefwoorden |
ANE, France, Brittany
Aquatic communities
Ecological succession
Physics > Mechanics > Dynamics
Bretagne [Marine Regions]
Marien/Kust |
| Abstract |
The study of different sites during long-term monitoring or after initial perturbations (dredgings, oil-spills...) reveals recolonization scenarios which do not differ greatly from each other despite different time-scales. The concept of ecological groupings based on sensitivity to hydrocarbons and to organic matter overload permits interpretation of the successional dynamics models of Connell and Slatyer in a highly fluctuating environment. In the first example, perturbation by intensive dredging, followed recolonization, in the hypertrophic muddy areas of the rade de Brest is described. The second example describes the total disappearance and gradual recovery of macrofauna after an oil-spill in the Abers of Northern Brittany. The third example concerns stable muddy areas of South Brittany, where biogenic modifications by autogenic processes of the entire areas can be observed over a 25-year scale. The successional scenarios allow for five phases (A: latency phase; B: opportunist proliferation; C: maximal diversity; D: monospecific monopolization; and E: ecotonal phase). Each phase is driven to the next by a predominating mechanism: facilitation, tolerance or inhibition. This descriptive approach suggests that biotic interactions are important factors on the functional relationships relevant for succession. Biotic interactions have to be considered, even if they are not proven by an experimentally based approach. |
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