Abstract
AbstractThis 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.
Highlights
MotivationThis presentation was created to characterise foundations of cellular automata modelling of single species population dynamics
Occupied microhabitat goes into the regeneration state after an individual's death;
A neighbourhood consists of a site and its intrinsically defined neighbour sites
Summary
This presentation was created to characterise foundations of cellular automata modelling of single species population dynamics. Individual-based and is based on logical “if-” 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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