Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Competenze

Dispersal vs. stochasticity: Competition for persistence in a reaction-diffusion model with strong Allee dynamics

Articolo
Data di Pubblicazione:
2011
Citazione:
Dispersal vs. stochasticity: Competition for persistence in a reaction-diffusion model with strong Allee dynamics / Budroni, Ma; Rossi, F; Farris, Emmanuele; Filigheddu, Rossella Speranza; Rustici, Mauro. - In: ECOLOGICAL MODELLING. - ISSN 0304-3800. - 222:16(2011), pp. 2891-2896. [10.1016/j.ecolmodel.2011.05.015]
Abstract:
In ecological and population dynamics, the coupling between random perturbations and the Allee effect could drive small and confined populations of rare species to extinction. In this paper, we propose a general model for describing spatio-temporal dynamics characterized by demographic Allee growth. In this approach, we include the combined contribution of stochasticity and spatial processes, typically dispersal, which is scarcely explored in the literature. The model is formulated in a reaction-diffusion framework, where the dynamics is regulated by a typical Allee–dispersal evolution and the resilience to white noise is probed at different perturbation amplitudes. Preliminary results show that dispersal processes can compensate random fluctuations to favor the stabilization of the species establishment.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Allee effect; Population dynamics; Pseudo-stochastic reaction-diffusion processes; Mediterranean plants
Elenco autori:
Budroni, Ma; Rossi, F; Farris, Emmanuele; Filigheddu, Rossella Speranza; Rustici, Mauro
Autori di Ateneo:
BUDRONI Marcello Antonio
FARRIS Emmanuele
RUSTICI Mauro
Link alla scheda completa:
https://iris.uniss.it/handle/11388/62623
Pubblicato in:
ECOLOGICAL MODELLING
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.2.0