Expert judgment data for a Bayesian decision network of prescribed fire in Gulf of Mexico marshes

This data set was collected as part of structured decision-making workshops designed to build a Bayesian Decision Network of prescribed fire in high marshes of the Gulf of Mexico. As part of a formal elicitation process for expert judgment, workshop participants independently created conditional probability tables based on a conceptual model of prescribed fire in high marsh ecosystems. Following the workshop, we aggregated the conditional probability tables across experts and used them to create a Bayesian Decision network in probability network software.