Dynamics of Eucalyptus Diameter Distribution in the State of Minas Gerais

Schmidt, Luciane Naimeke; Machado, Sebastião do Amaral; Pelissari, Allan Libanio; Silva, Gilson Fernandes da

doi:10.1590/2179-8087.015617

Original Article, Forest Management • Floresta Ambient. 26 (2) • 2019 • https://doi.org/10.1590/2179-8087.015617 linkcopy

Dynamics of Eucalyptus Diameter Distribution in the State of Minas Gerais

Authorship SCIMAGO INSTITUTIONS RANKINGS

The aim of this study was to evaluate the effects of age, site, and density factors on the dynamics of eucalyptus diameter distribution. Data were obtained from a continuous forest inventory measured at different occasions, stratified according to the factors evaluated and adjusted by the three-parameter Weibull function using nonthinned clonal plots of eucalyptus stands located in the Central region of the state of Minas Gerais. In order to evaluate the diameter distribution behavior, asymmetry and kurtosis measures and graphical analysis for fitted curves were used. In general, an increase was observed in diameter amplitudes with aging, as well as with improvement of site productivity and higher densities. The number of trees decreased in the lower classes and increased in the upper classes, resulting in diameter distribution curves, being displaced to the right and flattened with aging.

Keywords:
probabilistic density function; site productive capacity; average basal area

Age (years)	Site Class	Density class	Number of plots	Average number of trees/plot	D_mean	D_min	D_max	s ²	s	*A_s*	K
3			15	28	13.8	6.4	17.8	2.704	1.644	-0.282	0.211
4			35	29	15.7	6.2	20.7	4.647	2.156	-0.472	0.233
5			43	28	16.8	5.2	22.7	6.149	2.480	-0.334	0.243
6			43	28	17.8	5.3	24.6	7.870	2.805	-0.357	0.256
7			42	28	18.5	5.4	26.3	9.274	3.045	-0.35	0.229
8			39	27	19.2	5.5	27.3	10.184	3.191	-0.268	0.25
3	I		2	28	14.7	8.2	17.8	3.904	1.976	-0.417	0.248
4	I		5	31	16.0	6.5	20.7	6.338	2.518	-0.488	0.266
5	I		6	30	17.3	6.5	22.7	7.989	2.826	-0.711	0.244
6	I		6	30	18.3	7.2	24.6	10.146	3.185	-0.543	0.244
7	I		6	29	19.2	7.8	26.3	12.011	3.466	-0.473	0.252
8	I		2	26	20.9	15	25.3	6.049	2.460	-0.525	0.236
3	II		9	29	13.8	6.4	17.0	2.003	1.415	-0.398	0.199
4	II		21	29	15.9	6.4	20.5	4.107	2.027	-0.444	0.22
5	II		27	28	17.0	5.2	22.4	5.763	2.401	-0.323	0.241
6	II		27	28	18.0	5.3	24.5	7.559	2.749	-0.404	0.237
7	II		27	28	18.8	5.4	26.2	8.975	2.996	-0.418	0.219
8	II		27	28	19.5	5.5	27.3	10.898	3.301	-0.384	0.242
3	III		4	27	13.5	7.4	17.0	3.311	1.820	-0.465	0.262
4	III		9	28	14.9	7.1	18.4	4.035	2.009	-0.465	0.263
5	III		10	27	15.9	7.4	20.5	4.895	2.212	-0.427	0.266
6	III		10	27	16.7	7.4	21.9	5.726	2.393	-0.403	0.266
7	III		9	27	17.3	8.8	23.7	6.272	2.504	-0.337	0.255
8	III		10	27	18.2	8.9	25.2	7.178	2.679	-0.277	0.265
5		I	3	33	17.8	7.9	22.7	5.786	2.405	-0.287	0.256
6		I	11	32	18.3	7.2	24.6	9.305	3.050	-0.458	0.234
7		I	17	31	19.1	7.8	26.3	10.364	3.219	-0.412	0.254
8		I	21	29	19.8	7.1	27.3	10.455	3.233	-0.406	0.247
4		II	21	31	15.9	6.4	20.7	4.522	2.126	-0.372	0.241
5		II	32	28	17.0	5.2	22.4	5.825	2.413	-0.363	0.244
6		II	28	27	17.7	5.3	23.9	6.874	2.622	-0.412	0.252
7		II	23	26	18.2	5.4	26.0	7.842	2.800	-0.288	0.233
8		II	18	25	18.5	5.5	26.8	8.882	2.980	-0.228	0.245
3		III	15	28	13.8	6.4	17.8	2.704	1.644	-0.282	0.211
4		III	14	26	15.2	6.2	20.5	4.509	2.123	-0.461	0.239
5		III	8	25	15.5	7.4	20.5	5.583	2.363	-0.461	0.261
6		III	4	24	16.1	8.8	22.2	6.692	2.587	-0.145	0.293
7		III	2	23	16.7	10.8	24.0	8.181	2.860	0.255	0.283

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[1] Where: D_mean = mean diameter (cm); D_min = minimum diameter (cm); D_max = maximum diameter (cm); s² = variance (cm²); s = standard deviation (cm); A_s = asymmetry and K = kurtosis.