Modelling Recovery Rules Of Soil Microbial Assemblages Using
Matrix Methods
Author(s)
M. Anand, K. M. Mu, S. Levin, A. Okonski & D. McCreath
Abstract
Modelling recovery rules of soil microbial
assemblages using matrix methods
M. Anand, K. M. Ma, S. Levin, A. Okonski & D. McCreath
Biology Department and Elliot Lake Research Field Station,
Laurentian University, Sudbury, Ontario, Canada
Abstract
We model the dynamics of microbial assemblages in response to various
rehabilitation treatments to polluted soils in the Sudbury, Canada area. We
compare the efficacy of the stationary Markov model in capturing observed
dynamics and measuring the success of rehabilitation techniques. We apply two
different approaches to the estimation of transition probabilities for the Markov
model. The first method models competition between taxa for a limiting
resource. The second method is less mechanistic, however, and is closely linked
to the matrix method of Principal Components Analysis that is widely used to
detect ecological gradients. The first method provides a better fit to the dynamics
of microbial assemblages and to assessment of rehabilitation success,
Keywords
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