Table 2.

The coefficient and mean standard error values for predicting tree leaf area using Equation (2) for the modeling data set. To predict leaf area as a function of dbh, use , where LA = estimated leaf area and EXP = the inverse of the natural logarithm. An example of the 95% confidence bounds for each species is presented by showing the predicted leaf area for the mean dbh for each species sampled and the associated confidence interval.

Species	Leaf area (m²)
Species	n	Â		mse	R²	Mean	Lower	Upper
Callistemon citrinus	29	3.398	0.034	0.33762	0.31	34.37	27.47	43.01
Cedrus deodara	23	4.849	0.022	0.23969	0.87	236.99	192.31	292.06
Ceratonia siliqua	30	4.400	0.020	0.24623	0.68	115.61	95.57	139.71
Cinnamomum camphora	28	4.748	0.018	0.28622	0.74	132.44	107.80	162.71
Cupaniopsis anacardioides	29	2.941	0.053	0.28791	0.87	53.13	42.86	65.86
Eucalyptus ftcifolia	31	4.077	0.022	0.23168	0.61	192.78	161.19	230.56
Ficus microcarpa	32	2.481	0.047	0.28770	0.68	116.02	95.40	141.09
Jacaranda mimosifolia	31	2.294	0.080	0.74336	0.75	60.59	44.07	83.29
Liquidambar styraciflua	33	3.544	0.042	0.79971	0.49	87.79	63.97	120.48
Magnolia grandiflora	27	3.337	0.045	0.29087	0.78	82.10	66.13	101.92
Melaleuca quinquenervia	30	2.695	0.042	0.99873	0.31	106.87	87.57	130.42
Metrosideros excelsus	30	2.732	0.053	0.27810	0.82	64.76	43.26	96.93
Pinus canariensis	28	3.793	0.039	0.24881	0.87	290.44	239.88	351.66
Podocarpos macrophyllus	28	2.763	0.060	0.26557	0.68	49.8	40.81	60.76
Schinus terebinthifolius	28	3.634	0.030	0.46873	0.43	116.20	90.20	149.69
Tristania conferta	27	0.529	0.134	0.79614	0.71	35.03	24.37	50.34