Abstract
This presentation was created to characterise foundations of cellular automata modelling of single species population dynamics. We show models of single species population growth based on deterministic birth-death-regeneration process and demonstrate a relationship between fecundity rate and population growth rate. Our models provide mechanistic simulation of logistic-like and double logistic-like curves of population growth that is not possible in the classical Verhulst model (logistic growth model). This method is deterministic individual-based and is based on logical “if-then” statements only. As this method is bottom-up mechanistic and provides a direct visual insight into dynamics of complex systems, we used it to study mechanisms of interspecific competition in further experiments.
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Kalmykov, L., Kalmykov, V. Deterministic individual-based cellular automata modelling of single species population dynamics. Nat Prec (2011). https://doi.org/10.1038/npre.2011.6661.1
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DOI: https://doi.org/10.1038/npre.2011.6661.1