Mark E. Borsuk

TL;DR: A guiding framework is presented that aims to assist modellers and model users in the choice of an appropriate modelling approach for their integrated assessment applications and that enables more effective learning in interdisciplinary settings.

TL;DR: A Bayesian network integrating models of the various processes involved in eutrophication in the Neuse River estuary, North Carolina is described, suggesting that a compromise is necessary between policy relevance and predictive precision, and that, to select defensible environmental management strategies, public officials must adopt decision-making methods that deal explicitly with scientific uncertainty.

TL;DR: In this article, the authors focus on the perennial switchgrass (Panicum virgatum L.) and compile a database that contains 1190 observations of yield from 39 field trials conducted across the United States.

TL;DR: The relationship between the literatures from two disciplines that appear to be moving toward a degree of convergence are reviewed and the implications for the theory and practice of ecological economics are explored.

TL;DR: In this paper, the authors compare BMC and MCMCMCMC and demonstrate that BMC is extremely inefficient in the sense that the prior parameter distribution, from which the BMC sample is drawn, is often a poor surrogate for the posterior parameter distribution.