Dynamic stability and spatial heterogeneityin the individualbased modelling of a lotkavolterra gas

Jacek Waniewski; Wojciech Jędruch; Norbert Żołek

International Journal of Applied Mathematics and Computer Science (2004)

  • Volume: 14, Issue: 2, page 139-147
  • ISSN: 1641-876X

Abstract

top
Computer simulation of a few thousands of particles moving (approximately) according to the energy and momentum conservation laws on a tessellation of squares in discrete time steps and interacting according to the predator-prey scheme is analyzed. The population dynamics are described by the basic Lotka-Volterra interactions (multiplication of preys, predation and multiplication of predators, death of predators), but the spatial effects result in differences between the system evolution and the mathematical description by the Lotka-Volterra equations. The spatial patterns were evaluated using entropy and a cross correlation coefficient for the spatial distribution of both populations. In some simulations the system oscillated with variable amplitude but rather stable period, but the particle distribution departed from the (quasi) homogeneous state and did not return to it. The distribution entropy oscillated in the same rhythm as the population, but its value was smaller than in the initial homogeneous state. The cross correlation coefficient oscillated between positive and negative values. Its average value depended on the space scale applied for its evaluation with the negative values on the small scale (separation of preys from predators) and the positive values on the large scale (aggregation of both populations). The stability of such oscillation patterns was based on a balance of the population parameters and particle mobility. The increased mobility (particle mixing) resulted in unstable oscillations with high amplitude, sustained homogeneity of the particle distribution, and final extinction of one or both populations.

How to cite

top

Waniewski, Jacek, Jędruch, Wojciech, and Żołek, Norbert. "Dynamic stability and spatial heterogeneityin the individualbased modelling of a lotkavolterra gas." International Journal of Applied Mathematics and Computer Science 14.2 (2004): 139-147. <http://eudml.org/doc/207685>.

@article{Waniewski2004,
abstract = {Computer simulation of a few thousands of particles moving (approximately) according to the energy and momentum conservation laws on a tessellation of squares in discrete time steps and interacting according to the predator-prey scheme is analyzed. The population dynamics are described by the basic Lotka-Volterra interactions (multiplication of preys, predation and multiplication of predators, death of predators), but the spatial effects result in differences between the system evolution and the mathematical description by the Lotka-Volterra equations. The spatial patterns were evaluated using entropy and a cross correlation coefficient for the spatial distribution of both populations. In some simulations the system oscillated with variable amplitude but rather stable period, but the particle distribution departed from the (quasi) homogeneous state and did not return to it. The distribution entropy oscillated in the same rhythm as the population, but its value was smaller than in the initial homogeneous state. The cross correlation coefficient oscillated between positive and negative values. Its average value depended on the space scale applied for its evaluation with the negative values on the small scale (separation of preys from predators) and the positive values on the large scale (aggregation of both populations). The stability of such oscillation patterns was based on a balance of the population parameters and particle mobility. The increased mobility (particle mixing) resulted in unstable oscillations with high amplitude, sustained homogeneity of the particle distribution, and final extinction of one or both populations.},
author = {Waniewski, Jacek, Jędruch, Wojciech, Żołek, Norbert},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {entropy; correlation coefficient; predator-prey system},
language = {eng},
number = {2},
pages = {139-147},
title = {Dynamic stability and spatial heterogeneityin the individualbased modelling of a lotkavolterra gas},
url = {http://eudml.org/doc/207685},
volume = {14},
year = {2004},
}

TY - JOUR
AU - Waniewski, Jacek
AU - Jędruch, Wojciech
AU - Żołek, Norbert
TI - Dynamic stability and spatial heterogeneityin the individualbased modelling of a lotkavolterra gas
JO - International Journal of Applied Mathematics and Computer Science
PY - 2004
VL - 14
IS - 2
SP - 139
EP - 147
AB - Computer simulation of a few thousands of particles moving (approximately) according to the energy and momentum conservation laws on a tessellation of squares in discrete time steps and interacting according to the predator-prey scheme is analyzed. The population dynamics are described by the basic Lotka-Volterra interactions (multiplication of preys, predation and multiplication of predators, death of predators), but the spatial effects result in differences between the system evolution and the mathematical description by the Lotka-Volterra equations. The spatial patterns were evaluated using entropy and a cross correlation coefficient for the spatial distribution of both populations. In some simulations the system oscillated with variable amplitude but rather stable period, but the particle distribution departed from the (quasi) homogeneous state and did not return to it. The distribution entropy oscillated in the same rhythm as the population, but its value was smaller than in the initial homogeneous state. The cross correlation coefficient oscillated between positive and negative values. Its average value depended on the space scale applied for its evaluation with the negative values on the small scale (separation of preys from predators) and the positive values on the large scale (aggregation of both populations). The stability of such oscillation patterns was based on a balance of the population parameters and particle mobility. The increased mobility (particle mixing) resulted in unstable oscillations with high amplitude, sustained homogeneity of the particle distribution, and final extinction of one or both populations.
LA - eng
KW - entropy; correlation coefficient; predator-prey system
UR - http://eudml.org/doc/207685
ER -

References

top
  1. Adami C. (1998): Introduction to Artificial Life. - New York: Springer. Zbl0902.68198
  2. Boccara N., Cheong K. and Oram M. (1994): A probabilistic automata network epidemic model with births and deaths exhibiting cyclic behaviour. - J. Phys. A: Math. Gen., Vol. 27, pp. 1585-1597. Zbl0838.92021
  3. Boccara N., Roblin O. and Roger M. (1994): Automata network predator-prey model with pursuit and evasion. - Phys. Rev. E 50, Vol. 50, No. 6, pp. 4531-4541. 
  4. McCauley E., Wilson W.G. and de Roos A.M. (1993): Dynamics of age-structured and spatially structured predator-prey interactions: Individual-based models and population-level formulations. - Am. Naturalist, Vol. 142, No. 3, pp. 412-442. 
  5. McCauley E., Wilson W.G. and de Roos A.M. (1996): Dynamics of age-structured predator-prey populations in space: Asymmetrical effects of mobility injuvenile and adult predators. - OIKOS, Vol. 76, pp. 485-497. 
  6. Durrett R. and Levin S. (1994): The importance of being discrete (and spatial). -Theor. Popul. Biol., Vol. 46, pp. 363-394. Zbl0846.92027
  7. Lipowski A. (1999): Oscillatory behavior in a lattice prey-predator system.- Phys. Rev. ER 60, No. 5, pp. 5179-5184. 
  8. Lipowski A. and Lipowska D. (2000): Nonequilibrium phase transition in a lattice prey-predator system. - Physica A 276, pp. 456-464. 
  9. Poland D. (1989): The effect of clustering on the Lotka-Volterra model. - Physica D 35, pp. 148-166. Zbl0671.34048
  10. Rand D.A. (1994): Measuring and characterizing spatial patterns, dynamics and chaos in spatially extended dynamical systems and ecologies. - Phil. Trans. R.Soc. Lond. A 348, pp. 497-514. Zbl0868.35055
  11. Rand D.A., Keeling M. and Wilson H.B. (1995): Invasion, stability and evolution to criticality in spatially extended, artificial host-pathogen ecologies. - Proc. R. Soc. Lond. B 259, pp. 55-63. 
  12. Rand D.A. and Wilson H.B. (1995): Using spatio-temporal chaos and intermediate scale determinism to quantify spatially extended ecosystems. - Proc. R. Soc.Lond. B 259, pp. 111-117. 
  13. Ranta E. and Kaitala V. (1997): Travelling waves in vole population dynamics. - Nature 390, pp. 456. 
  14. Ranta E., Kaitala V. and Lundberg P. (1997): The spatial dimension in population fluctuations. - Science 278, pp. 1621-1623. 
  15. Renshaw E. (1991): Modeling Biological Populations in Space and Time. -Cambridge: Cambridge University Press. Zbl0754.92018
  16. De Roos A.M., McCauley E. and Wilson W.G. (1991): Mobility versus density-limited predator-prey dynamics on different spatial scales. - Proc. R. Soc. Lond. B246, pp. 117-122. 
  17. De Roos A.M., McCauley E. and Wilson W.G. (1998): Pattern formation and the spatial scale of interaction between predators and theirprey. - Theor. Popul. Biol. 53, No. 2, pp. 108-130. Zbl0919.92037
  18. Satulovsky J.E. (1996): Lattice Lotka-Volterra models and negative cross-diffusion. - J. Theor. Biol. 183, pp. 381-389. 
  19. Satulovsky J.E. and Tome T. (1994): Stochastic lattice gas model for a predator-prey system. - Phys. Rev. E 49, No. 6, pp. 5073-5079. 
  20. Satulovsky J.E. and Tome T. (1997): Spatial instabilities and local oscillationsin a lattice gas Lotka-Volterra model. - J. Math. Biol. 35, pp. 344-358. Zbl0866.92018
  21. Tainaka K. and Fukazawa S. (1992): Spatial pattern in a chemical reaction system: prey and predator in the position-fixed limit. - J. Phys. Soc. Jpn. 61, No. 6, pp. 1891-1894. 
  22. Waniewski J. and Jędruch W. (1999): Individual based modeling and parameter estimation for a Lotka-Volterra system. - Math. Biosci. 157, pp. 23-36. 
  23. Waniewski J. and Jędruch W. (2000): Spatial heterogenity and local oscillation phase drifts in individual-based simulations of a prey-predator system.- Int. J. Appl. Math. Comp. Sci., Vol. 10, No. 1, pp. 175-192. Zbl0942.92035
  24. Wiegand T., Moloney K.A., Naves J. and Knauer F. (1999): Finding the missing link between landscape structure and population dynamics: A spatially explicit perspective. - Am. Nat., Vol. 154, No. 6, pp. 605-627. 
  25. Wilson W.G., McCauley E. and de Roos A.M. (1995): Effect of dimensionality on Lotka-Volterra predator-prey dynamics: individual based simulation results.- Bull. Math. Biol., 57, No. 4, pp. 507-526. Zbl0825.92118
  26. Wilson W.G., de Roos A.M. and McCauley E. (1993): Spatial instabilities within the diffusive Lotka-Volterra system: Individual-based simulation results. - Theor. Popul. Biol. 43, pp. 91-127. Zbl0768.92026

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.