We used Monte Carlo simulations to calculate the propagation of uncertainties and estimate confidence intervals . Briefly, we assigned to each parameter taking part in an equation (for example, to calculate the slope of a linear fit) a well-defined probability distribution reflecting its uncertainty. We then repeatedly (100 000 times) drew a random value from the probability distribution of each parameter and re-solved the respective equation.