Environ analysis, based on network theory, is a methodology to quantify how objects interact with and depend on other objects in a system. The primary result from the method provides input and output 'environs'. In addition, application of network environ analysis on empirical data sets and ecosystem models has revealed several important and unexpected results that have been identified and summarized in the literature as network environ properties. Data requirements for the analysis include the intercompartmental flows, compartmental storages, and boundary input and output flows. This article reviews the theoretical underpinning of the analysis and briefly introduces some the main properties such as indirect effects ratio, network homogenization, and network mutualism.
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