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A Valleriani

Publications and source records attributed to A Valleriani.

5 recordsLinked to original sources

Diversity patterns from ecological models at dynamical equilibrium.

We study a dynamic model of ecosystems where an immigration flux assembles the species community and maintains its biodiversity. This framework is particularly relevant for insular ecosystems. Population dynamics is represented either as an individual-based model or as a set of deterministic equations for population abundances. Local extinctions and immigrations balance at a statistically stationary state where biodiversity fluctuates around a constant mean value. We find a number of scaling laws characterizing this stationary state. In particular, the number of species increases as a power law of the immigration rate. With additional assumptions on the immigration flux, we obtain species-area relationships in agreement with observations for archipelagos. We also find power-law distributions for species abundances and lifetimes.

Animals↗

Shape of ecological networks.

We study the statistics of ecosystems with a variable number of coevolving species. The species interact in two ways: by prey-predator relationships and by direct competition with similar kinds. The interaction coefficients change slowly through successful adaptations and speciations. They are treated as quenched random variables. These interactions determine long-term topological features of the species network, which are found to agree with those of biological systems.

Animals↗

Levy-nearest-neighbors Bak-Sneppen model.

We study a random neighbor version of the Bak-Sneppen model, where "nearest neighbors" are chosen according to a probability distribution decaying as a power law of the distance from the active site, P(x) approximately x-x(ac)(-omega). All of the exponents characterizing the self-organized critical state of this model depend on the exponent omega. As omega-->1 we recover the usual random nearest-neighbor version of the model. The pattern of results obtained for a range of values of omega is also compatible with the results of simulations of the original BS model in high dimensions. Moreover, our results suggest a critical dimension dc=6 for the Bak-Sneppen model, in contrast with previous claims.

Journal Article↗