A discrete-continuous model for bisexual population dynamics.
Nedorezov, L.V., Utyupin, Yu.V. (2003)
Sibirskij Matematicheskij Zhurnal
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Nedorezov, L.V., Utyupin, Yu.V. (2003)
Sibirskij Matematicheskij Zhurnal
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Awadalla, Attia.A. (2006)
APPS. Applied Sciences
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A. B. Medvinsky, M. M. Gonik, A. V. Rusakov, H. Malchow (2008)
Mathematical Modelling of Natural Phenomena
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We study the role of interactions between habitats in rotifer dynamics. For this purpose we use a modified version of the Consensus model. The Consensus model has been shown to be realistic enough to reproduce distinguishing features of the rotifer species dynamics. Being uncoupled, intrinsically bistable rotifer populations, which inhabit the regions under different environmental conditions, do not impact each other. We show that migration of the rotifers between the habitats leads...
Dendrinos, Dimitrios S. (1997)
Discrete Dynamics in Nature and Society
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Ricardo Mané, Claus I. Doering (1991)
Ensaios Matemáticos
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Joe N. Perry (1997)
Qüestiió
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The Lyapunov exponent is a statistic that measures the sensitive dependence of the dynamic behaviour of a system on its initial conditions. Estimates of Lyapunov exponents are often used to characterize the qualitative population dynamics of insect time series. The methodology for estimation of the exponent for an observed, noisy, short ecological time series is still under development. Some progress has been made recently in providing measures of error for these exponents. Studies that...
Rosser, J. Barkley jun. (2002)
Discrete Dynamics in Nature and Society
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Udwadia, Firdaus, Leitmann, George, Lambertini, Luca (2006)
Discrete Dynamics in Nature and Society
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Chen, Xiaoying, Chen, Fengde, Su, Qianqian, Zhang, Na (2010)
Discrete Dynamics in Nature and Society
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Chen, J.Y., Wong, K.W., Zheng, H.Y., Shuai, J.W. (2002)
Discrete Dynamics in Nature and Society
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Iwona Karcz-Dulęba (2004)
International Journal of Applied Mathematics and Computer Science
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A simple model of phenotypic evolution is introduced and analysed in a space of population states. The expected values of the population states generate a discrete dynamical system. The asymptotic behaviour of the system is studied with the use of classical tools of dynamical systems. The number, location and stability of fixed points of the system depend on parameters of a fitness function and the parameters of the evolutionary process itself. The influence of evolutionary process parameters...
David Ruelle, Floris Takens (1971)
Recherche Coopérative sur Programme n°25
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