Marine species reproduce and compete while being advected by turbulent flows. It is largely unknown, both theoretically and experimentally, how population dynamics and genetics are changed by the presence of fluid flows. Discrete agent-based simulations in continuous space allow for accurate treatment of advection and number fluctuations, but can be computationally expensive for even modest organism densities. In this report, we propose an algorithm to overcome some of these challenges. We first provide a thorough validation of the algorithm in one and two dimensions without flow. Next, we focus on the case of weakly compressible flows in two dimensions. This models organisms such as phytoplankton living at a specific depth in the three-dimensional, incompressible ocean experiencing upwelling and/or downwelling events. We show that organisms born at sources in a two-dimensional time-independent flow experience an increase in fixation probability.

Guccione, G., Benzi, R., Plummer, A., Toschi, F. (2019). Discrete Eulerian model for population genetics and dynamics under flow. PHYSICAL REVIEW. E, 100(6), 0621051-0621058 [10.1103/PhysRevE.100.062105].

Discrete Eulerian model for population genetics and dynamics under flow

Benzi R.
Membro del Collaboration Group
;
Toschi F.
Membro del Collaboration Group
2019-12-03

Abstract

Marine species reproduce and compete while being advected by turbulent flows. It is largely unknown, both theoretically and experimentally, how population dynamics and genetics are changed by the presence of fluid flows. Discrete agent-based simulations in continuous space allow for accurate treatment of advection and number fluctuations, but can be computationally expensive for even modest organism densities. In this report, we propose an algorithm to overcome some of these challenges. We first provide a thorough validation of the algorithm in one and two dimensions without flow. Next, we focus on the case of weakly compressible flows in two dimensions. This models organisms such as phytoplankton living at a specific depth in the three-dimensional, incompressible ocean experiencing upwelling and/or downwelling events. We show that organisms born at sources in a two-dimensional time-independent flow experience an increase in fixation probability.
3-dic-2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/02 - FISICA TEORICA, MODELLI E METODI MATEMATICI
English
Population Dynamics, Computational Physics, Simulations
Guccione, G., Benzi, R., Plummer, A., Toschi, F. (2019). Discrete Eulerian model for population genetics and dynamics under flow. PHYSICAL REVIEW. E, 100(6), 0621051-0621058 [10.1103/PhysRevE.100.062105].
Guccione, G; Benzi, R; Plummer, A; Toschi, F
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
PhysRevE.100.062105.pdf

solo utenti autorizzati

Descrizione: Articolo pubblicato su Phys. Rev. E
Licenza: Non specificato
Dimensione 441.44 kB
Formato Adobe PDF
441.44 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/228153
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 4
social impact