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Fig. 1 | Microbiome

Fig. 1

From: Signatures of ecological processes in microbial community time series

Fig. 1

Overview of community models. The position of community models in this overview diagram is determined by two axes, which represent the importance given to structure and to noise, respectively. The first gradient orders models by the level of stochasticity, with neutral models at one extreme and the noise-free Ricker and generalized Lotka-Volterra model at the other. When increasing the strength of the noise or decreasing the number of individuals, deterministic models can move towards the stochastic end of the spectrum. The second axis orders models according to the role of structure, i.e., the strength of the dependency on previous time points. The Dirichlet-multinomial distribution and other probability distributions, which generate counts that do not depend on previous states, are at one end of the spectrum, whereas models with a high dependency on previous states, such as the generalized Lotka-Volterra, are at the other

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