A multilateral model of ecological ammensalism - numerical approach

Authors

  • P Rama Mohan Department of Science and Humanities,Chintalapudi Engineering College, Ponnur-522124,India
  • N Rama Gopal Department of Chemical Enginering,Bapatla Engineering College, Bapatla-522101,India
  • K.V.L.N Acharyulu Department of Mathematics,Bapatla Engineering College, Bapatla-522101,India

Keywords:

Non-linear system, Ammensal species, Enemy species, Carrying capacity, Dominance reversal time.

Abstract

The paper concerns with the numerical study of a mathematical model of “A Multilateral Model of Ecological Ammensalism - Numerical Approach”. The mathematical model comprises of Ammensal-enemy species pair with (i) a constant number of Ammensal is provided with cover to protect it from enemy(ii)the enemy is provided with alternate resources in addition to the Ammensal species (iii) both the species are immigrated and migrated. The model is organized by a couple of first order non linear ordinary differential equations. The numerical illustrations of the growth equations are computed by implementing the classical Runge-Kutta method of fourth order. The relations among the cover protected constant and the dominance reversal time is investigated. Some conclusions are obtained by the results. AMS Classification: 92 D 25, 92 D 40 

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Author Biographies

P Rama Mohan, Department of Science and Humanities,Chintalapudi Engineering College, Ponnur-522124,India

Department of Science and Humanities,Chintalapudi Engineering College, Ponnur-522124,India 

N Rama Gopal, Department of Chemical Enginering,Bapatla Engineering College, Bapatla-522101,India

Department of Chemical Enginering,Bapatla Engineering College, Bapatla-522101,India 

K.V.L.N Acharyulu, Department of Mathematics,Bapatla Engineering College, Bapatla-522101,India

Department of Mathematics,Bapatla Engineering College, Bapatla-522101,India 

Published

14-06-2012

How to Cite

Mohan, P. R., N. R. Gopal, and K. Acharyulu. “A Multilateral Model of Ecological Ammensalism - Numerical Approach”. Journal of Experimental Sciences, vol. 3, no. 2, June 2012, https://updatepublishing.com/journal/index.php/jes/article/view/1930.

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