It is good to use Monte Carlo for both of these scenarios since the conditions for applying it are so flexible. The times when it is better to use Monte Carlo than propagation of error does not depend on the number of variables. Applying Monte Carlo will lead to more accurate results when the variables have high uncertainty, non-normal equations, data are correlated, models are complex, and uncertainty varies between inventory years.
(Anna McMurray, Winrock International)