Multiplication of this matrix with a vector describing the initial size structure of the population allows for estimation of the future size structure and abundance of that population assuming the transition matrix holds for each time step. This allows for the simulation of disturbances like typhoons or harvesting as well as changes in the demographic parameters. The computer-generated community is then allowed to 'develop' using data derived from the field studies on growth and recruitment rates, competitive responses, and damage estimates from various kinds of disturbances. This growth involves cells changing identity at each time step based on several rules outlined below. Individual benthos are allowed to grow, i.e., incorporate adjacent vacant cells, at fixed rates based on data on rates of colony and patch size expansion.
Available space is also subject to recruitment at predetermined rates and time periods.
Whenever organisms grow to within interactive reach of others, competition ensues wherein the 'victor' will depend on the identity and the number of adjacent cells involved. In all cases, individual cells interact with one another such that, for example, a given cell will be more likely to change identity from space to a coral if it is adjacent to such corals. At the present model formulation, it could be considered essentially as a spatially explicit and individually oriented form of a modified Leslie-matrix model. However modifications are significant in allowing the model to exhibit more realistic behaviour. The results already illustrate the utility of models when coupled with empirical studies.