BMF Collaborative Project 18: Achieving synergic goals for nature protection, biodiversity conservation, and biomass promotion

Abstract

The mindsponge theory will be used for conceptual development. Bayesian Mindsponge Framework (BMF) analytics will be used for statistical analysis on a dataset of 707 private landowners in two SE US fuelsheds that supply the majority of the wood pellets. The bayesvl R package, aided by the Markov chain Monte Carlo (MCMC) algorithm, will be employed for statistical analyses. All the materials and codes for this study will be made available to reduce the cost of doing science and to provide transparency. For more information on BMF analytics, portal users can refer to the following book.