Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

Forest Ecosystems

Table 1 Descriptive statistics on LAI and some stand attributes

	Number of Samples	Range	Minimum	Maximum	Mean	Standard deviation	Variance
N (#)	108	1725.00	75.00	1800.00	643.36	420.56	176,866.25
BA (m²·ha^− 1)	108	102.04	10.09	112.13	41.64	18.62	346.80
Dq (cm)	108	48.04	14.24	62.28	32.85	12.06	145.31
Hq (m)	108	23.51	7.61	31.12	18.21	5.69	32.42
SI₁₀₀ (m)	108	29.30	9.90	39.20	22.52	6.40	40.96
LAI	108	2.424	0.49	2.921	1.70	0.63	0.39
Age (years)	108	164.71	19.13	183.83	76.28	36.20	1310.70

LAI: the Leaf Area Indices calculated for sample plots, N: the number of trees of stands (#), BA: the basal area (m²·ha^− 1), Dq: the quadradic mean diameter (cm), Hq: the quadratic mean height (m), SI₁₀₀: the site index calculated at base age of 100 (m), Age: the stand mean age (years)