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Managing for resilience: an information theory-based approach to assessing ecosystems
Citation:
Eason, T., A. Garmestani, C. Stow, C. Rojo, M. Alvarez-Cobelas, AND H. Cabezas. Managing for resilience: an information theory-based approach to assessing ecosystems. Journal of Applied Ecology. Blackwell Publishing, Malden, MA, 53:656-665, (2016).
Impact/Purpose:
In response to the need to identify leading indicators of regime shifts in ecosystems, our research compares traditional indicators and Fisher information, an information theory based method, by examining four case study systems. Results demonstrate the utility of methods and offers great promise for quantifying and managing for resilience.
Description:
Ecosystems are complex and multivariate; hence, methods to assess the dynamics of ecosystems should have the capacity to evaluate multiple indicators simultaneously. Most research on identifying leading indicators of regime shifts has focused on univariate methods and simple models which have limited utility when evaluating real ecosystems, particularly because drivers are often unknown. We discuss some common univariate and multivariate approaches for detecting critical transitions in ecosystems and demonstrate their capabilities via case studies. Synthesis and applications. We illustrate the utility of an information theory-based index for assessing ecosystem dynamics. Trends in this index also provide a sentinel of both abrupt and gradual transitions in ecosystems.
URLs/Downloads:
MANAGING FOR RESILIENCE: AN INFORMATION THEORY-BASED APPROACH TO ASSESSING ECOSYSTEMS