Table 4. Model predictions of variation.

Data and model predictions of the coefficient of variation for the model output parameters. The simple Poisson model often fails to capture the variance in the total growth rate, whereas the high-variance model is more accurate in this respect.

Treatment	CV(λT), net rate of increase in total number of node (nodes yr−1)			CV(B), rate of increase in number of stems (stems yr−1)
	Data	Poisson model	High-variance model	Data	Poisson model	High-variancemodel
Conway high light	1.21	0.76	1.28	2.20	1.79	1.86
Conway low light	66.38	4.02	6.12	2.20	2.21	2.23
Hamilton high light	0.98	0.67	1.15	1.77	2.10	2.13
Hamilton low light	0.94	0.47	0.92	5.87	5.02	5.27