A stochastic cellular automaton for modelling the dynamics of a two-species
fungal microcosm is presented. The state of each cell in the automaton dep
ends on the state of a predefined neighbourhood via a set of conditional pr
obabilities derived from experiments conducted on pairwise combinations of
species. The model is tested by detailed comparison with larger-scale exper
imental microcosms. By employing different hypotheses which relate the pair
wise data to the conditional probabilities in the model, the nature of the
local and non-local interactions in the community is explored. The hypothes
is that the large-scale dynamics are a consequence of independent interacti
ons between species in a local neighbourhood can be excluded at the 5% sign
ificance level. The form of the interdependencies is determined and it is s
hown that the outcome of the interactions at the local neighbourhood-scale
depends on the community-scale patterning of individuals. The dynamics of t
he microcosm are therefore an emergent property of the system of interactin
g mycelia that cannot be deduced from a study of the components in isolatio
n.