We analyze purely competitive many-species Lotka-Volterra systems with random interaction matrices, focusing the attention on statistical properties of their asymptotic states. Generic features of the evolution are outlined from a semiquantitative analysis of the phase-space structure and extensive numerical simulations are performed to study the statistics of the extinctions. We find that the number of surviving species depends strongly on the statistical properties of the interaction matrix and that the probability of survival is weakly correlated to specific initial conditions
We use generating functionals to derive effective dynamics for Lotka-Volterra systems with random in...
AbstractIn this paper, we first consider a general N-species nonautonomous Lotka–Volterra system. We...
International audienceWe are interested in the long time behavior of a two-type density-dependent bi...
We analyze purely competitive many-species Lotka-Volterra systems with random interaction matrices, ...
Populations of competing biological species exhibit a fascinating interplay between the nonlinear dy...
Cyclic dominance of species has been identified as a potential mechanism to maintain biodiversity, s...
In this project we studied the well-known generalised Lotka-Volterra model, usually employed in popu...
AbstractThe probabilities of extinction, weak extinction, permanence, and mutual exclusion are calcu...
Ecosystems with a large number of species are often modelled as Lotka-Volterra dynamical systems bui...
Classical Lotka-Volterra (LV) model for oscillatory behavior of population sizes of two interacting ...
Transitions to absorbing states are of fundamental importance in nonequilibrium physics as well as e...
The dynamics of species communities are typically modelled considering fixed parameters for species ...
Analyzing coexistence and survival scenarios of Lotka-Volterra (LV) networks in which the total biom...
We study the influence of a randomly switching reproduction-predation rate on the survival behavior ...
We use generating functionals to derive effective dynamics for Lotka-Volterra systems with random in...
AbstractIn this paper, we first consider a general N-species nonautonomous Lotka–Volterra system. We...
International audienceWe are interested in the long time behavior of a two-type density-dependent bi...
We analyze purely competitive many-species Lotka-Volterra systems with random interaction matrices, ...
Populations of competing biological species exhibit a fascinating interplay between the nonlinear dy...
Cyclic dominance of species has been identified as a potential mechanism to maintain biodiversity, s...
In this project we studied the well-known generalised Lotka-Volterra model, usually employed in popu...
AbstractThe probabilities of extinction, weak extinction, permanence, and mutual exclusion are calcu...
Ecosystems with a large number of species are often modelled as Lotka-Volterra dynamical systems bui...
Classical Lotka-Volterra (LV) model for oscillatory behavior of population sizes of two interacting ...
Transitions to absorbing states are of fundamental importance in nonequilibrium physics as well as e...
The dynamics of species communities are typically modelled considering fixed parameters for species ...
Analyzing coexistence and survival scenarios of Lotka-Volterra (LV) networks in which the total biom...
We study the influence of a randomly switching reproduction-predation rate on the survival behavior ...
We use generating functionals to derive effective dynamics for Lotka-Volterra systems with random in...
AbstractIn this paper, we first consider a general N-species nonautonomous Lotka–Volterra system. We...
International audienceWe are interested in the long time behavior of a two-type density-dependent bi...