2015/07/28 by Sudeepto Bhattacharya, Bhattacharya, Sudeepto, L. M. Saha +1
Biochemistry, Genetics and Molecular Biology · Environmental Science · Mathematics · Medicine · Social Sciences · #92D40 #Dynamical Systems (math.DS) #Ecosystem dynamics and resilience #Evolutionary Game Theory and Cooperation #FOS: Biological sciences #FOS: Mathematics #Mathematical and Theoretical Epidemiology and Ecology Models #Populations and Evolution (q-bio.PE) #math.DS #msc:92D40 #q-bio.PE
paper · pdf · doi:10.48550/arxiv.1507.07645
10 pages, 3 figures
arxiv created 2015/07/28 · openalex publication_date 2015/07/28 · arxiv updated 2015/07/29 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
An ecosystem is a nonlinear dynamical system, its orbits giving rise to the observed complexity in the system. The diverse components of the ecosystem interact in discrete time to give rise to emergent features that determine the trajectory of system's time evolution. The paper studies the evolutionary dynamics of a toy two species ecosystem modelled as a discrete time Kolmogorov system. It is assumed that only the two species comprise the ecosystem and compete with each other for obtaining growth resources, mediated through inter as well as intraspecific coupling constants to obtain resources for growth. Numerical simulations reveal the transition from regular to irregular dynamics and emergence of chaos during the process of evolution of these populations. We find that the presence or absence of chaotic dynamics is being determined by the interspecific interaction coefficients. For values of the interspecific interaction constants widely apart, the system emerges to regular dynamics, implying coexistence of the competing populations on a long term evolutionary scenario.