Effective carrying capacity and analytical solution of a particular case of the Richards-like two-sp

We consider a generalized two-species population dynamic model and analytically solve it for the amensalism and commensalism ecological interactions. These two-species models can be simplified to a one-species model with a time dependent extrinsic growth factor. With a one-species model with an effective carrying capacity one is able to retrieve the steady state solutions of the previous one-species model. The equivalence obtained between the effective carrying capacity and the extrinsic growth factor is complete only for a particular case, the Gompertz model. Here we unveil important aspects of sigmoid growth curves, which are relevant to growth processes and population dynamics.

[1]  H. von Foerster,et al.  Doomsday: Friday, 13 November, A.D. 2026. At this date human population will approach infinity if it grows as it has grown in the last two millenia. , 1960, Science.

[2]  Ney Lemke,et al.  A mean-field theory of cellular growth , 2002 .

[3]  Relationship between the logistic equation and the Lotka-Volterra models , 1993 .

[4]  Connections Between von Foerster Coalition Growth Model and Tsallis q-Exponential , 2009 .

[5]  C. Tsallis Possible generalization of Boltzmann-Gibbs statistics , 1988 .

[6]  F. Grabowski,et al.  Towards possible q-generalizations of the Malthus and Verhulst growth models , 2008 .

[7]  A. Martinez,et al.  Generalized exponential function and discrete growth models , 2008, 0803.3089.

[8]  F. Rombouts,et al.  Modeling of the Bacterial Growth Curve , 1990, Applied and environmental microbiology.

[9]  B. Cabella,et al.  Data collapse, scaling functions, and analytical solutions of generalized growth models. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  C. Tsallis What are the Numbers that Experiments Provide , 1994 .

[11]  F. J. Richards A Flexible Growth Function for Empirical Use , 1959 .

[12]  Franciszek Grabowski,et al.  Logistic equation of arbitrary order , 2010 .

[13]  Heinz von Foerster,et al.  Doomsday: Friday, 13 November, A.D. 2026 , 1960 .

[14]  Arithmetical and geometrical means of generalized logarithmic and exponential functions: Generalized sum and product operators , 2007, 0709.0018.

[15]  Tyler Sa,et al.  Dynamics of normal growth. , 1965 .

[16]  P. Haccou Mathematical Models of Biology , 2022 .

[17]  Nicola Bellomo,et al.  A Survey of Models for Tumor-Immune System Dynamics , 1996 .

[18]  James D. Murray Mathematical Biology: I. An Introduction , 2007 .

[19]  B. Cabella,et al.  Full analytical solution and complete phase diagram analysis of the Verhulst-like two-species population dynamics model , 2010, 1010.3361.

[20]  Alexandre Souto Martinez,et al.  Continuous growth models in terms of generalized logarithm and exponential functions , 2008, 0803.2635.

[21]  A. d’Onofrio Fractal growth of tumors and other cellular populations : linking the mechanistic to the phenomenological modeling and vice versa , 2014 .