A four decades multiparametric investigation in a Mediterranean dynamic ecosystem: Mollusc assemblages answer to the environmental changes
Articolo
Data di Pubblicazione:
2020
Abstract:
The ecosystem changes of "Marinello coastal lakes" - a brackish dynamic area located on the Tyrrhenian coast of
Sicily (Italy) - have been examined through the analysis of the adaptive response of mollusc assemblages to the
geomorphological and environmental changes. In particular, we have contextually analysed the changes in
salinity, mud and organic carbon together with mollusc abundance and distribution, comparing the data sets
from several multidisciplinary investigations that we performed in about forty years.
Our studies have evidenced that the space-time dynamics of the geomorphological, environmental and trophic
parameters have led the progression of Marinello ecosystem, favoring the onset of transient windows of connectivity (TWCs) between different habitats. TWCs, by supporting continuous re-arrangements of mollusc populations, have contributed to increase the functional and ecological complexity of the system. Salinity in
particular has proven to be the most affecting factor on the diversification of mollusc assemblages, explaining
63% and 44% of variation for brackish and marine species respectively. In addition, the distribution of both
detritus and suspension feeders has been mostly affected by salinity.
The interannual analysis of the mollusc assemblages has shown in the whole system a generalised increase in
the number of species, likewise, also the species richness recorded in each basin generally increased with the
time. Metapopulations in the Marinello ecosystem have shown to be related to significant modifications in the
habitat patches, in turn connected to the anthropogenic interventions or to the geomorphological progression of
the entire physiographic system.
Significant relationships among biotic and abiotic parameters have highlighted important implications on the
ecosystem functioning, suggesting their possible application in the improvement of investigation tools for the
transitional environments.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Multiparametric investigation; Interdecadal time-series; Bionomic evolution; Multivariate analysis; Transitional dynamic ecosystem
Elenco autori:
Azzaro, Filippo; Bergamasco, Alessandro; Leonardi, Marcella; Crisafi, Ermanno
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