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\section{Introduction}   Traditionally, ecological complexity study tried with global models that including a greatest number of variables resulting in serious deficiencies in predictability, especially for the limitation for the incorporation of all interactions ecosystem multi-elements and components (Moore et al. 2002).   Traditionally, ecological complexity study tried with global models that including a greatest number of variables resulting in serious deficiencies in predictability, especially for the limitation for the incorporation of all interactions ecosystem multi-elements and components (Moore et al. 2002).  Alternative forms of explain de complex dynamics have been through of the assessment of ecological attributes based on the information theory. The most well-known application of the information theory is the formula for quantification of diversity as proposed by Shanon-Weiner (**). Recently, other formulations for the explanation of the ecological systems dynamics, like resilience and robustness, are seeking. (Ulanowicz et al. 2009). On the other hand, the study of the ecological complexity has been related with stability. This way, complexity characterization has been supported in variables such as species richness (number of species), connectance (fraction of the possible interspecific interactions), interaction strength (effect of one species’ density on the growth rate of another specie) and evenness (abundance variance). Meanwhile, stability has been related with resilience (velocity to return to the equilibrium), resistance (variable’ grade of change) and variability (population density variance) (Pimm, 1984). The hypothesis about the relation of functional complexity and stability that defines a positively correlation between functional complexity and stability (Van Voris et al., 1980), were discussing for a long time with a variety of results and answers.