Sergio A. Cannas

Modelling biological invasions: species traits, species interactions, and habitat heterogeneity.

In this paper we explore the integration of different factors to understand, predict and control ecological invasions, through a general cellular automaton model especially developed. The model includes life history traits of several species in a modular structure interacting multiple cellular automata. We performed simulations using field values corresponding to the exotic Gleditsia triacanthos and native co-dominant trees in a montane area. Presence of G. triacanthos juvenile bank was a determinant condition for invasion success. Main parameters influencing invasion velocity were mean seed dispersal distance and minimum reproductive age. Seed production had a small influence on the invasion velocity. Velocities predicted by the model agreed well with estimations from field data. Values of population density predicted matched field values closely. The modular structure of the model, the explicit interaction between the invader and the native species, and the simplicity of parameters and transition rules are novel features of the model.

Long-range interactions and nonextensivity in ferromagnetic spin models

The Ising model with ferromagnetic interactions that decay as

Generalization properties of modular networks: implementing the parity function

\frac{1}{{r}^{\ensuremath{\alpha}}}

Generalization and Selection of Examples in Feedforward Neural Networks

is analyzed in the nonextensive regime

Evidence of exactness of the mean-field theory in the nonextensive regime of long-range classical spin models

0l~\ensuremath{\alpha}l~d

Emergent self-organized complex network topology out of stability constraints.

, where the thermodynamic limit is not defined. In order to study the asymptotic properties of the model in the

Spin reorientation transition and phase diagram of ultrathin ferromagnetic films

N\ensuremath{\rightarrow}\ensuremath{\infty}

The one-dimensional Potts model with long-range interactions: a renormalization group approach

limit (

Modeling plant spread in forest ecology using cellular automata

N

q-state Potts model metastability study using optimized GPU-based Monte Carlo algorithms

being the number of spins) we propose a generalization of the Curie-Weiss model, for which the