Amphibians are threatened worldwide by climate change, chytridiomycosis, and land-use change. Recently, data sufficient to estimate the combined effects of these threats, at least in the near term, has become available. The combined effect can be modeled as a linear combination of the individual effects. Here I describe EGAD, a Bayesian network implementation of such a model. The tool is especially useful in assessing the sensitivity of the estimate of the combined effect to uncertainty in the components. In addition, it can automatically recalibrate itself as new data becomes available.
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