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| Arruda, Daniel Meira; Batista, Márcio Luiz; Simão, Marcos Vinicius Ribeiro de Castro; Duque-Brasil, Reinaldo; Ferreira-Júnior, Walnir Gomes; Schaefer, Carlos Ernesto Gonçalves Reynald. |
| The dry forests, widely distributed in Brazil, are formations subject to different sampling method. Consequently, the data generated may affect the comparison among other vegetation formations. Therefore, this study presents and discusses changes caused by sampling vegetation using circumference at soil height (CSH) ≥ 10 cm and circumference at breast height (CBH) ≥ 15 cm. Different criteria provide an ambiguous vision of a same forest fragment, resulting in different structure and species richness. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Phytosociology; Sampling methodology; Seasonally Tropical Dry Forest; Arboreal Caatinga Fitossociologia Fitossociologia; Métodos de amostragem; Mata Seca; Caatinga Arbórea. |
| Ano: 2012 |
URL: http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/380 |
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| Santos, Paulo Eduardo Telles dos; Lavoranti, Osmir José; Salante, Laurindo. |
| By the assessment of ten technological traits of eucalypt wood for sawn timber and energy purposes,it was developed a multivariate statistical procedure in order to determine the sequence of logs to be sampled, in such a way to represent all statistical variation contained within the tree and, accordingly, to establish the appropriate sampling intensity. In the present work, it was used a total of 40 logs from four trees of Eucalyptus grandis provenance Concórdia-SC aged 18 years. By using principal components regression analysis and stepwise selection techniques, it was showed that only two logs, corresponding to the first (0.05 m to 2.60 m) and fourth (8.85 m to 11.40 m) positions into the tree, contained 99.2 % of the total variation detected... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Eucalypt; Sawn timber; Sampling methodology; Multivariate regression. Eucalipto; Madeira serrada; Metodologia de amostragem; Regressão multivariada. |
| Ano: 2010 |
URL: http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/130 |
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